Intentlonallty and Human Conversations. - Jaime G. Carbonell (TINLAP, 1978)

POLITICS: Automated Ideological Reasoning. - Jaime G. Carbonell (Cogn. Sci., 1978)

Comments on the paper of Cherniavsky: "On artificial intelligence and attempts to disprove its existance". - Jaime G. Carbonell; Roger C. Schank (Inf. Syst., 1978)

Towards a Self-Extending Parser. - Jaime G. Carbonell (ACL, 1979)

Computer Models of Human Personality Traits. - Jaime G. Carbonell (IJCAI, 1979)

The Counterplanning Process: Reasoning under Adversity. - Jaime G. Carbonell (IJCAI, 1979)

DELTA-MIN: A Search-Control Method for Information-Gathering Problems. - Jaime G. Carbonell (AAAI, 1980)

Metapher - A Key to Extensible Semantic Analysis. - Jaime G. Carbonell (ACL, 1980)

Default Reasoning and Inheritance Mechanisms on Type Hierarchies. - Jaime G. Carbonell (SIGMOD Rec., 1980)

Presentation (discussion). - L. Peter Deutsch; Jaime G. Carbonell; Charles Rich; Raymond Reiter; Hartmut Wedekind; Patrick J. Hayes (SIGMOD Rec., 1980)

Consistency of Models (discussion). - John Miles Smith; Charles Rich; Jonathan J. King; Peter Hitchcock; Alexander Borgida; Jaime G. Carbonell (SIGMOD Rec., 1980)

Towards a Process Model of Human Personality Traits. - Jaime G. Carbonell (Artif. Intell., 1980)

Artificial Intelligence Research at Carnegie-Mellon University. - Jaime G. Carbonell (AI Mag., 1980)

Dynamic Strategy Selection in Flexible Parsing. - Jaime G. Carbonell; Philip J. Hayes (ACL, 1981)

A tutorial on natural-language processing. - Gary G. Hendrix; Jaime G. Carbonell (ACM Annual Conference, 1981)

A Computational Model of Analogical Problem Solving. - Jaime G. Carbonell (IJCAI, 1981)

Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update. - Philip J. Hayes; Jaime G. Carbonell (IJCAI, 1981)

Counterplanning: A Strategy-Based Model of Adversary Planning in Real-World Situations. - Jaime G. Carbonell (Artif. Intell., 1981)

Steps Toward Knowledge-Based Machine Translation. - Jaime G. Carbonell; Richard E. Cullingford; Anatole Gershman (IEEE Trans. Pattern Anal. Mach. Intell., 1981)

Machine learning research. - Jaime G. Carbonell (SIGART Newsl., 1981)

Experiential Learning in Analogical Problem Solving. - Jaime G. Carbonell (AAAI, 1982)

Artificial Intelligence Techniques and Methodology. - Jaime G. Carbonell; Derek H. Sleeman (AI Mag., 1982)

Robust man-machine interfaces and dialog modelling: Carnegie-Mellon University. - W. Mark Boggs; Jaime G. Carbonell; Robert E. Frederking; Philip J. Hayes; George V. Mouradian; Donald W. Kosy; Michael L. Mauldin; Hiromichi Fujisawa (SIGART Newsl., 1982)

A note on the AI tutorial at the ACM. - Jaime G. Carbonell (SIGART Newsl., 1982)

Derivational Analogy and Its Role in Problem Solving. - Jaime G. Carbonell (AAAI, 1983)

Discourse Pragmatics and Ellipsis Resolution in Task-Oriented Natural Language Interfaces. - Jaime G. Carbonell (ACL, 1983)

The XCALIBUR Project: A Natural Language Interface to Expert Systems. - Jaime G. Carbonell; W. Mark Boggs; Michael L. Mauldin; Peter G. Anick (IJCAI, 1983)

A Framework for Processing Corrections in Task-Oriented Dialogues. - Philip J. Hayes; Jaime G. Carbonell (IJCAI, 1983)

User Modelling and Natural Language Interface Design. - Jaime G. Carbonell (Software-Ergonomie, 1983)

Machine Learning: A Historical and Methodological Analysis. - Jaime G. Carbonell; Ryszard S. Michalski; Tom M. Mitchell (AI Mag., 1983)

Recovery Strategies for Parsing Extragrammatical Language. - Jaime G. Carbonell; Philip J. Hayes (Am. J. Comput. Linguistics, 1983)

Is There Natural Language after Data Bases? - Jaime G. Carbonell (COLING, 1984)

Coping with Extragrammaticality. - Jaime G. Carbonell; Philip J. Hayes (COLING, 1984)

Approaches to machine learning. - Pat Langley; Jaime G. Carbonell (J. Am. Soc. Inf. Sci., 1984)

The FERMI System: Inducing Iterative Macro-Operators from Experience. - Patricia Cheng; Jaime G. Carbonell (AAAI, 1986)

Parsing Spoken Language: A Semantic Caseframe Approach. - Philip J. Hayes; Alexander G. Hauptmann; Jaime G. Carbonell; Masaru Tomita (COLING, 1986)

Another Stride Towards Knowledge-Based Machine Translation. - Masaru Tomita; Jaime G. Carbonell (COLING, 1986)

Natural Language Interfaces - Ready for Commercial Success? - Wolfgang Wahlster; Jaime G. Carbonell; Gary G. Hendrix; Harry R. Tennant (COLING, 1986)

Analogical reasoning in planning and decision making. - Jaime G. Carbonell (ISMIS, 1986)

Strategies for Learning Search Control Rules: An Explanation-based Approach. - Steven Minton; Jaime G. Carbonell (IJCAI, 1987)

The Universal Parser Architecture for Knowledge-based Machine Translation. - Masaru Tomita; Jaime G. Carbonell (IJCAI, 1987)

CoalSORT: A Knowledge-Based Interface. - Ira Monarch; Jaime G. Carbonell (IEEE Expert, 1987)

Integrating discourse pragmatics and propositional knowledge for multilingual natural language processing. - Sergei Nirenburg; Jaime G. Carbonell (Mach. Transl., 1987)

Anaphora resolution: a multy-strategy approach. - Jaime G. Carbonell; Ralf D. Brown (COLING, 1988)

FERMI: A Flexible Expert Reasoner with Multi-Domain Inferencing. - Jill H. Larkin; Frederick Reif; Jaime G. Carbonell; Angela Gugliotta (Cogn. Sci., 1988)

Towards a General Framework for Composing Disjunctive and Iterative Macro-operators. - Peter Shell; Jaime G. Carbonell (IJCAI, 1989)

White Paper on Natural Language Processing. - Ralph Weiscbedel; Jaime G. Carbonell; Barbara J. Grosz; Wendy Lehnert; Mitchell Marcus; Ray Perrault; Robert Wilensky (HLT (2), 1989)

Introduction: Paradigms for Machine Learning. - Jaime G. Carbonell (Artif. Intell., 1989)

Explanation-Based Learning: A Problem Solving Perspective. - Steven Minton; Jaime G. Carbonell; Craig A. Knoblock; Daniel Kuokka; Oren Etzioni; Yolanda Gil (Artif. Intell., 1989)

Machine Translation Again? - Yorick Wilks; Jaime G. Carbonell; David Farwell; Eduard H. Hovy; Sergei Nirenburg (HLT, 1990)

Learning by Analogical Replay in PRODIGY: First Results. - Manuela M. Veloso; Jaime G. Carbonell (EWSL, 1991)

Session 3: Machine Translation. - Jaime G. Carbonell (HLT, 1991)

Editorial. - Jaime G. Carbonell (Mach. Learn., 1991)

PRODIGY: An Integrated Architecture for Planning and Learning. - Jaime G. Carbonell; Oren Etzioni; Yolanda Gil; Robert Joseph; Craig A. Knoblock; Steven Minton; Manuela M. Veloso (SIGART Bull., 1991)

Machine translation - a knowledge-based approach. - Sergei Nirenburg; Jaime G. Carbonell; Masaru Tomita; Kenneth Goodman (Morgan Kaufmann, 1992)

Is Production System Match Interesting? - Mark Perlin; Jaime G. Carbonell; Daniel P. Miranker; Salvatore J. Stolfo; Milind Tambe (ICTAI, 1992)

Machine Learning: A Maturing Field. - Jaime G. Carbonell (Mach. Learn., 1992)

Lessons from TIPSTER/SHOGUN/JANUS. - Jaime G. Carbonell (SIGIR, 1993)

Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization. - Manuela M. Veloso; Jaime G. Carbonell (Mach. Learn., 1993)

Control Knowledge to Improve Plan Quality. - M. Alicia Pérez; Jaime G. Carbonell (AIPS, 1994)

PANGLOSS. - Jaime G. Carbonell; David Farwell; Robert E. Frederking; Stephen Helmreich; Eduard H. Hovy; Kevin Knight; Lori S. Levin; Sergei Nirenburg (AMTA, 1994)

KANT: Knowledge-Based, Accurate Natural Language Translation. - Teruko Mitamura; Eric Nyberg; Jaime G. Carbonell (AMTA, 1994)

Future Directions. - Joseph Pentheroudakis; Jaime G. Carbonell; Lutz Graunitz; Pierre Isabelle; Chris Montgomery; Alex Waibel (AMTA, 1994)

Evaluation Metrics for Knowledge-Based Machine Translation. - Eric Nyberg; Teruko Mitamura; Jaime G. Carbonell (COLING, 1994)

Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract). - Jaime G. Carbonell (KR, 1994)

VERY Large Knowledge Bases - Architecture vs Engineering. - James A. Hendler; Jaime G. Carbonell; Douglas B. Lenat; Riichiro Mizoguchi; Paul S. Rosenbloom (IJCAI, 1995)

Integrating planning and learning: the PRODIGY architecture. - Manuela M. Veloso; Jaime G. Carbonell; M. Alicia Pérez; Daniel Borrajo; Eugene Fink; Jim Blythe (J. Exp. Theor. Artif. Intell., 1995)

Panel: Next steps in MT research. - Lynn Carlson; Jaime G. Carbonell; David Farwell; Pierre Isabelle; Jackie Murgida; John O'Hara; Dekai Wu (AMTA, 1996)

Translingual Information Retrieval: A Comparative Evaluation. - Jaime G. Carbonell; Yiming Yang; Robert E. Frederking; Ralf D. Brown; Yibing Geng; Danny Lee (IJCAI (1), 1997)

A Study of Retrospective and On-Line Event Detection. - Yiming Yang; Thomas Pierce; Jaime G. Carbonell (SIGIR, 1998)

Summarization: (1) Using MMR for Diversity- Based Reranking and (2) Evaluating Summaries. - Jade Goldstein; Jaime G. Carbonell (TIPSTER, 1998)

Translingual Information Retrieval: Learning from Bilingual Corpora. - Yiming Yang; Jaime G. Carbonell; Ralf D. Brown; Robert E. Frederking (Artif. Intell., 1998)

Selecting Text Spans for Document Summaries: Heuristics and Metrics. - Vibhu O. Mittal; Mark Kantrowitz; Jade Goldstein; Jaime G. Carbonell (AAAI/IAAI, 1999)

Summarizing Text Documents: Sentence Selection and Evaluation Metrics. - Jade Goldstein; Mark Kantrowitz; Vibhu O. Mittal; Jaime G. Carbonell (SIGIR, 1999)

Learning approaches for detecting and tracking news events. - Yiming Yang; Jaime G. Carbonell; Ralf D. Brown; Thomas Pierce; Blair Archibald; Xin Liu (IEEE Intell. Syst., 1999)

Creating and Evaluating Multi-Document Sentence Extract Summaries. - Jade Goldstein; Vibhu O. Mittal; Jaime G. Carbonell; James P. Callan (CIKM, 2000)

Special Issue of Machine Learning on Information Retrieval - Introduction. - Jaime G. Carbonell; Yiming Yang; William W. Cohen (Mach. Learn., 2000)

Automatic Rule Learning for Resource-Limited MT. - Jaime G. Carbonell; Katharina Probst; Erik Peterson; Christian Monson; Alon Lavie; Ralf D. Brown; Lori S. Levin (AMTA, 2002)

Boosting to correct inductive bias in text classification. - Yan Liu 002; Yiming Yang; Jaime G. Carbonell (CIKM, 2002)

Topic-conditioned novelty detection. - Yiming Yang; Jian Zhang 003; Jaime G. Carbonell; Chun Jin (KDD, 2002)

The JAVELIN Question-Answering System at TREC 2002. - Eric Nyberg; Teruko Mitamura; Jaime G. Carbonell; James P. Callan; Kevyn Collins-Thompson; Krzysztof Czuba; Michael Duggan; Laurie Hiyakumoto; N. Hu; Yifen Huang; Jeongwoo Ko; Lucian Vlad Lita; et al. (TREC, 2002)

MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules. - Katharina Probst; Lori S. Levin; Erik Peterson; Alon Lavie; Jaime G. Carbonell (Mach. Transl., 2002)

Grand challenges for information management. - Jaime G. Carbonell (CIKM, 2003)

Cross Lingual QA: A Modular Baseline in CLEF 2003. - Lucian Vlad Lita; Monica Rogati; Jaime G. Carbonell (CLEF, 2003)

Cross Lingual QA: A Modular Baseline. - Lucian Vlad Lita; Monica Rogati; Jaime G. Carbonell (CLEF (Working Notes), 2003)

A New Pairwise Ensemble Approach for Text Classification. - Yan Liu 002; Jaime G. Carbonell; Rong Jin 001 (ECML, 2003)

Reducing boundary friction using translation-fragment overlap. - Ralf D. Brown; Rebecca Hutchinson; Paul N. Bennett; Jaime G. Carbonell; Peter J. Jansen (MTSummit, 2003)

The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. - Eric Nyberg; Teruko Mitamura; James P. Callan; Jaime G. Carbonell; Robert E. Frederking; Kevyn Collins-Thompson; Laurie Hiyakumoto; Yifen Huang; Curtis Huttenhower; Scott Judy; Jeongwoo Ko; Anna Kupsc; et al. (TREC, 2003)

Experiments with a Hindi-to-English transfer-based MT system under a miserly data scenario. - Alon Lavie; Stephan Vogel; Lori S. Levin; Erik Peterson; Katharina Probst; Ariadna Font Llitjós; Rachel Reynolds; Jaime G. Carbonell; Richard Cohen (ACM Trans. Asian Lang. Inf. Process., 2003)

Error Analysis of Two Types of Grammar for the Purpose of Automatic Rule Refinement. - Ariadna Font Llitjós; Katharina Probst; Jaime G. Carbonell (AMTA, 2004)

Unsupervised question answering data acquisition from local corpora. - Lucian Vlad Lita; Jaime G. Carbonell (CIKM, 2004)

A Prototype System for Transnational Information Sharing and Process Coordination. - Stanley Y. W. Su; José A. B. Fortes; Thrity R. Kasad; Manjiri Patil; Andréa M. Matsunaga; Maurício O. Tsugawa; Violetta Cavalli-Sforza; Jaime G. Carbonell; Peter J. Jansen; Wayne H. Ward; Ronald A. Cole; Donald F. Towsley; et al. (DG.O, 2004)

A Prototype System for Transnational Information Sharing and Process Coordination: System Demo. - Stanley Y. W. Su; José A. B. Fortes; Thrity R. Kasad; Manjiri Patil; Andréa M. Matsunaga; Maurício O. Tsugawa; Violetta Cavalli-Sforza; Jaime G. Carbonell; Peter J. Jansen; Wayne H. Ward; Ronald A. Cole; Donald F. Towsley; et al. (DG.O, 2004)

Challenges in using an example-based MT system for a transnational digital government project. - Violetta Cavalli-Sforza; Ralf D. Brown; Jaime G. Carbonell; Peter G. Jansen; Jae Dong Kim (EAMT, 2004)

A trainable transfer-based MT approach for languages with limited resources. - Alon Lavie; Katharina Probst; Erik Peterson; Stephan Vogel; Lori S. Levin; Ariadna Font Llitjós; Jaime G. Carbonell (EAMT, 2004)

Instance-Based Question Answering: A Data-Driven Approach. - Lucian Vlad Lita; Jaime G. Carbonell (EMNLP, 2004)

Developing Language Resources for a Transnational Digital Government System. - Violetta Cavalli-Sforza; Jaime G. Carbonell; Peter J. Jansen (LREC, 2004)

The Translation Correction Tool: English-Spanish User Studies. - Ariadna Font Llitjós; Jaime G. Carbonell (LREC, 2004)

Data Collection and Analysis of Mapudungun Morphology for Spelling Correction. - Christian Monson; Lori S. Levin; Rodolfo Vega; Ralf D. Brown; Ariadna Font Llitjós; Alon Lavie; Jaime G. Carbonell; Eliseo Cañulef; Rosendo Huisca (LREC, 2004)

Context sensitive vocabulary and its application in protein secondary structure prediction. - Yan Liu 002; Jaime G. Carbonell; Judith Klein-Seetharaman; Vanathi Gopalakrishnan (SIGIR, 2004)

Unsupervised Induction of Natural Language Morphology Inflection Classes. - Christian Monson; Alon Lavie; Jaime G. Carbonell; Lori S. Levin (SIGMORPHON@ACL, 2004)

Search for approximate matches in large databases. - Eugene Fink; Aaron Goldstein; Philip J. Hayes; Jaime G. Carbonell (SMC (2), 2004)

Comparison of probabilistic combination methods for protein secondary structure prediction. - Yan Liu 002; Jaime G. Carbonell; Judith Klein-Seetharaman; Vanathi Gopalakrishnan (Bioinform., 2004)

Symmetric Probabilistic Alignment. - Ralf D. Brown; Jae Dong Kim; Peter J. Jansen; Jaime G. Carbonell (ParallelText@ACL, 2005)

Symmetric probabilistic alignment for example-based translation. - Jae Dong Kim; Ralf D. Brown; Peter J. Jansen; Jaime G. Carbonell (EAMT, 2005)

A framework for interactive and automatic refinement of transfer-based machine translation. - Ariadna Font Llitjós; Jaime G. Carbonell; Alon Lavie (EAMT, 2005)

Predicting protein folds with structural repeats using a chain graph model. - Yan Liu 002; Eric P. Xing; Jaime G. Carbonell (ICML, 2005)

A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries. - Betty Yee Man Cheng; Jaime G. Carbonell; Judith Klein-Seetharaman (ISMIS, 2005)

ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams. - Chun Jin; Jaime G. Carbonell; Philip J. Hayes (ISMIS, 2005)

Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. - Yan Liu 002; Jaime G. Carbonell; Peter Weigele; Vanathi Gopalakrishnan (RECOMB, 2005)

Detecting action-items in e-mail. - Paul N. Bennett; Jaime G. Carbonell (SIGIR, 2005)

Transnational Information Sharing, Event Notification, Rule Enforcement and Process Coordination. - Stanley Y. W. Su; José A. B. Fortes; Thrity R. Kasad; Manjiri Patil; Andréa M. Matsunaga; Maurício O. Tsugawa; Violetta Cavalli-Sforza; Jaime G. Carbonell; Peter J. Jansen; Wayne H. Ward; Ronald A. Cole; Donald F. Towsley; et al. (Int. J. Electron. Gov. Res., 2005)

Context-Based Machine Translation. - Jaime G. Carbonell; Steve Klein; David Miller; Mike Steinbaum; Tomer Grassiany; Jochen Frei (AMTA, 2006)

ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams. - Chun Jin; Jaime G. Carbonell (IDEAS, 2006)

Incremental Aggregation on Multiple Continuous Queries. - Chun Jin; Jaime G. Carbonell (ISMIS, 2006)

Spectral Clustering for Example Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (HLT-NAACL, 2006)

Scheduling with Uncertain Resources: Representation and Utility Function. - Ulas Bardak; Eugene Fink; Jaime G. Carbonell (SMC, 2006)

Scheduling with Uncertain Resources: Elicitation of Additional Data. - Ulas Bardak; Eugene Fink; Chris R. Martens; Jaime G. Carbonell (SMC, 2006)

Scheduling with Uncertain Resources: Collaboration with the User. - Eugene Fink; Ulas Bardak; Brandon Rothrock; Jaime G. Carbonell (SMC, 2006)

Scheduling with Uncertain Resources: Search for a Near-Optimal Solution. - Eugene Fink; P. Matthew Jennings; Ulas Bardak; Jean Oh; Stephen F. Smith; Jaime G. Carbonell (SMC, 2006)

Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). - Yan Liu 002; Jaime G. Carbonell; Peter Weigele; Vanathi Gopalakrishnan (J. Comput. Biol., 2006)

Combining N-grams and Alignment in G-protein Coupling Specificity Prediction. - Betty Yee Man Cheng; Jaime G. Carbonell (APBC, 2007)

Genre identification and goal-focused summarization. - Jade Goldstein; Gary M. Ciany; Jaime G. Carbonell (CIKM, 2007)

ParaMor: Finding Paradigms across Morphology. - Christian Monson; Jaime G. Carbonell; Alon Lavie; Lori S. Levin (CLEF, 2007)

Dual Strategy Active Learning. - Pinar Donmez; Jaime G. Carbonell; Paul N. Bennett (ECML, 2007)

Graph-Based Semi-Supervised Learning as a Generative Model. - Jingrui He; Jaime G. Carbonell; Yan Liu 002 (IJCAI, 2007)

Cluster-Based Selection of Statistical Answering Strategies. - Lucian Vlad Lita; Jaime G. Carbonell (IJCAI, 2007)

Protein Quaternary Fold Recognition Using Conditional Graphical Models. - Yan Liu 002; Jaime G. Carbonell; Vanathi Gopalakrishnan; Peter Weigele (IJCAI, 2007)

Improving transfer-based MT systems with automatic refinements. - Ariadna Font Llitjós; Jaime G. Carbonell; Alon Lavie (MTSummit, 2007)

Combining Probability-Based Rankers for Action-Item Detection. - Paul N. Bennett; Jaime G. Carbonell (HLT-NAACL, 2007)

Nearest-Neighbor-Based Active Learning for Rare Category Detection. - Jingrui He; Jaime G. Carbonell (NIPS, 2007)

Federated Ontology Search for the Medical Domain. - Vasco Pedro; Lucian Vlad Lita; Radu Stefan Niculescu; Bharat Rao; Jaime G. Carbonell (OTM Workshops (1), 2007)

ParaMor: Minimally Supervised Induction of Paradigm Structure and Morphological Analysis. - Christian Monson; Jaime G. Carbonell; Alon Lavie; Lori S. Levin (SIGMORPHON, 2007)

Retrieval and Feedback Models for Blog Distillation. - Jonathan L. Elsas; Jaime Arguello; Jamie Callan; Jaime G. Carbonell (TREC, 2007)

Stuctured Queries for Legal Search. - Yangbo Zhu; Le Zhao; Jamie Callan; Jaime G. Carbonell (TREC, 2007)

RADAR: A Personal Assistant that Learns to Reduce Email Overload. - Michael Freed; Jaime G. Carbonell; Geoffrey J. Gordon; Jordan Hayes; Brad A. Myers; Daniel P. Siewiorek; Stephen F. Smith; Aaron Steinfeld; Anthony Tomasic (AAAI, 2008)

Suppressing outliers in pairwise preference ranking. - Vitor R. Carvalho; Jonathan L. Elsas; William W. Cohen; Jaime G. Carbonell (CIKM, 2008)

Proactive learning: cost-sensitive active learning with multiple imperfect oracles. - Pinar Donmez; Jaime G. Carbonell (CIKM, 2008)

Corpus microsurgery: criteria optimization for medical cross-language ir. - Monica Rogati; Yiming Yang; Jaime G. Carbonell (CIKM, 2008)

ParaMor and Morpho Challenge 2008. - Christian Monson; Jaime G. Carbonell; Alon Lavie; Lori S. Levin (CLEF (Working Notes), 2008)

Optimizing estimated loss reduction for active sampling in rank learning. - Pinar Donmez; Jaime G. Carbonell (ICML, 2008)

Document Representation and Query Expansion Models for Blog Recommendation. - Jaime Arguello; Jonathan L. Elsas; Jamie Callan; Jaime G. Carbonell (ICWSM, 2008)

Cluster-Based Query Expansion for Statistical Question Answering. - Lucian Vlad Lita; Jaime G. Carbonell (IJCNLP, 2008)

Paired Sampling in Density-Sensitive Active Learning. - Pinar Donmez; Jaime G. Carbonell (ISAIM, 2008)

Rare Class Discovery Based on Active Learning. - Jingrui He; Jaime G. Carbonell (ISAIM, 2008)

Predicate Indexing for Incremental Multi-Query Optimization. - Chun Jin; Jaime G. Carbonell (ISMIS, 2008)

Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages. - Christian Monson; Ariadna Font Llitjós; Vamshi Ambati; Lori S. Levin; Alon Lavie; Alison Alvarez; Roberto Aranovich; Jaime G. Carbonell; Robert E. Frederking; Erik Peterson; Katharina Probst (LREC, 2008)

Retrieval and feedback models for blog feed search. - Jonathan L. Elsas; Jaime Arguello; Jamie Callan; Jaime G. Carbonell (SIGIR, 2008)

The impact of history length on personalized search. - Yangbo Zhu; Jamie Callan; Jaime G. Carbonell (SIGIR, 2008)

Evaluating an Agglutinative Segmentation Model for ParaMor. - Christian Monson; Alon Lavie; Jaime G. Carbonell; Lori S. Levin (SIGMORPHON, 2008)

Scheduling with uncertain resources: Learning to ask the right questions. - Alexander Carpentier; Mehrbod Sharifi; Eugene Fink; Jaime G. Carbonell (SMC, 2008)

Analysis of uncertain data: Tools for representation and processing. - Bin Fu; Eugene Fink; Jaime G. Carbonell (SMC, 2008)

Scheduling with uncertain resources: Learning to make reasonable assumptions. - Steven Gardiner; Eugene Fink; Jaime G. Carbonell (SMC, 2008)

Document and Query Expansion Models for Blog Distillation. - Jaime Arguello; Jonathan L. Elsas; Changkuk Yoo; Jamie Callan; Jaime G. Carbonell (TREC, 2008)

Fast learning of document ranking functions with the committee perceptron. - Jonathan L. Elsas; Vitor R. Carvalho; Jaime G. Carbonell (WSDM, 2008)

Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. - Pinar Donmez; Jaime G. Carbonell (ECIR, 2009)

Communication interception of human signal transduction pathways by Human Immunodeficiency Virus-1. - Sivaraman Balakrishnan; Öznur Tastan; Jaime G. Carbonell; Judith Klein-Seetharaman (GENSiPS, 2009)

Accelerated Gradient Method for Multi-task Sparse Learning Problem. - Xi Chen 010; Weike Pan; James T. Kwok; Jaime G. Carbonell (ICDM, 2009)

Efficiently learning the accuracy of labeling sources for selective sampling. - Pinar Donmez; Jaime G. Carbonell; Jeff G. Schneider (KDD, 2009)

Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages. - Vamshi Ambati; Alon Lavie; Jaime G. Carbonell (MTSummit, 2009)

Active Learning in Example-Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (NODALIDA, 2009)

Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration. - Öznur Tastan; Yanjun Qi; Jaime G. Carbonell; Judith Klein-Seetharaman (Pacific Symposium on Biocomputing, 2009)

Prior-Free Rare Category Detection. - Jingrui He; Jaime G. Carbonell (SDM, 2009)

It pays to be picky: an evaluation of thread retrieval in online forums. - Jonathan L. Elsas; Jaime G. Carbonell (SIGIR, 2009)

Scheduling with uncertain resources: Representation of common knowledge. - Eugene Fink; Matt Jennings; Konstantin Salomatin; Jaime G. Carbonell (SMC, 2009)

Analysis of uncertain data: Smoothing of histograms. - Eugene Fink; Ankur Sarin; Jaime G. Carbonell (SMC, 2009)

Creating and visualizing fuzzy document classification. - Judith Gelernter; Dong Cao; Raymond Lu; Eugene Fink; Jaime G. Carbonell (SMC, 2009)

Analysis of uncertain data: Selection of probes for information gathering. - Anatole Gershman; Eugene Fink; Bin Fu; Jaime G. Carbonell (SMC, 2009)

Analysis of uncertain data: Evaluation of given hypotheses. - Anatole Gershman; Eugene Fink; Bin Fu; Jaime G. Carbonell (SMC, 2009)

Pairwise Document Classification for Relevance Feedback. - Jonathan L. Elsas; Pinar Donmez; Jamie Callan; Jaime G. Carbonell (TREC, 2009)

Conditional Graphical Models for Protein Structural Motif Recognition. - Yan Liu 002; Jaime G. Carbonell; Vanathi Gopalakrishnan; Peter Weigele (J. Comput. Biol., 2009)

Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. - Xi Chen 010; Yan Liu 002; Han Liu 001; Jaime G. Carbonell (AAAI, 2010)

Active Learning-Based Elicitation for Semi-Supervised Word Alignment. - Vamshi Ambati; Stephan Vogel; Jaime G. Carbonell (ACL (2), 2010)

Bayesian Active Learning Using Arbitrary Binary Valued Queries. - Liu Yang 001; Steve Hanneke; Jaime G. Carbonell (ALT, 2010)

Rank learning for factoid question answering with linguistic and semantic constraints. - Matthew W. Bilotti; Jonathan L. Elsas; Jaime G. Carbonell; Eric Nyberg (CIKM, 2010)

Monolingual Distributional Profiles for Word Substitution in Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (COLING (Posters), 2010)

Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (EAMT, 2010)

Chunk-Based EBMT. - Jae Dong Kim; Ralf D. Brown; Jaime G. Carbonell (EAMT, 2010)

Learning Preferences with Millions of Parameters by Enforcing Sparsity. - Xi Chen 010; Bing Bai; Yanjun Qi; Qihang Lin; Jaime G. Carbonell (ICDM, 2010)

Rare Category Characterization. - Jingrui He; Hanghang Tong; Jaime G. Carbonell (ICDM, 2010)

Automatic Detection of HIV Drug Resistance-Associated Mutations. - Betty Yee Man Cheng; Jaime G. Carbonell (ICMLA, 2010)

Active Learning and Crowd-Sourcing for Machine Translation. - Vamshi Ambati; Stephan Vogel; Jaime G. Carbonell (LREC, 2010)

A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. - Pinar Donmez; Jaime G. Carbonell; Jeff G. Schneider (SDM, 2010)

Co-selection of Features and Instances for Unsupervised Rare Category Analysis. - Jingrui He; Jaime G. Carbonell (SDM, 2010)

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. - Liang Xiong; Xi Chen 010; Tzu-Kuo Huang; Jeff G. Schneider; Jaime G. Carbonell (SDM, 2010)

Learning of personalized security settings. - Mehrbod Sharifi; Eugene Fink; Jaime G. Carbonell (SMC, 2010)

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. - Yanjun Qi; Öznur Tastan; Jaime G. Carbonell; Judith Klein-Seetharaman; Jason Weston (Bioinform., 2010)

Active learning for human protein-protein interaction prediction. - Thahir P. Mohamed; Jaime G. Carbonell; Madhavi Ganapathiraju (BMC Bioinform., 2010)

Active machine learning for transmembrane helix prediction. - Hatice U. Osmanbeyoglu; Jessica A. Wehner; Jaime G. Carbonell; Madhavi Ganapathiraju (BMC Bioinform., 2010)

Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso - Xi Chen 010; Seyoung Kim; Qihang Lin; Jaime G. Carbonell; Eric P. Xing (CoRR, 2010)

An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity - Xi Chen 010; Qihang Lin; Seyoung Kim; Javier Peña 001; Jaime G. Carbonell; Eric P. Xing (CoRR, 2010)

Studies on Relevance, Ranking and Results Display - Judith Gelernter; Dong Cao; Jaime G. Carbonell (CoRR, 2010)

Coselection of features and instances for unsupervised rare category analysis. - Jingrui He; Jaime G. Carbonell (Stat. Anal. Data Min., 2010)

From Active to Proactive Learning Methods. - Pinar Donmez; Jaime G. Carbonell (Advances in Machine Learning I, 2010)

Towards Task Recommendation in Micro-Task Markets. - Vamshi Ambati; Stephan Vogel; Jaime G. Carbonell (Human Computation, 2011)

Active Learning with Multiple Annotations for Comparable Data Classification Task. - Vamshi Ambati; Sanjika Hewavitharana; Stephan Vogel; Jaime G. Carbonell (BUCC@ACL, 2011)

Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (CICLing (2), 2011)

Modeling personalized email prioritization: classification-based and regression-based approaches. - Shinjae Yoo; Yiming Yang; Jaime G. Carbonell (CIKM, 2011)

Statistical Learning for File-Type Identification. - Siddharth Gopal; Yiming Yang; Konstantin Salomatin; Jaime G. Carbonell (ICMLA (1), 2011)

Multi-Strategy Approaches to Active Learning for Statistical Machine Translation. - Vamshi Ambati; Stephan Vogel; Jaime G. Carbonell (MTSummit, 2011)

Feature Selection for Transfer Learning. - Selen Uguroglu; Jaime G. Carbonell (ECML/PKDD (3), 2011)

Sparse Latent Semantic Analysis. - Xi Chen 010; Yanjun Qi; Bing Bai; Qihang Lin; Jaime G. Carbonell (SDM, 2011)

SmartNotes: Application of crowdsourcing to the detection of web threats. - Mehrbod Sharifi; Eugene Fink; Jaime G. Carbonell (SMC, 2011)

Detection of Internet scam using logistic regression. - Mehrbod Sharifi; Eugene Fink; Jaime G. Carbonell (SMC, 2011)

Smoothing Proximal Gradient Method for General Structured Sparse Learning. - Xi Chen 010; Qihang Lin; Seyoung Kim; Jaime G. Carbonell; Eric P. Xing (UAI, 2011)

Virus interactions with human signal transduction pathways. - Zhongming Zhao; Junfeng Xia; Öznur Tastan; Irtisha Singh; Meghana Kshirsagar 001; Jaime G. Carbonell; Judith Klein-Seetharaman (Int. J. Comput. Biol. Drug Des., 2011)

The Sample Complexity of Self-Verifying Bayesian Active Learning. - Liu Yang 001; Steve Hanneke; Jaime G. Carbonell (AISTATS, 2011)

Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning. - Liu Yang 001; Steve Hanneke; Jaime G. Carbonell (COLT, 2011)

Fast Approximate Matching of Astronomical Objects. - Bin Fu; Eugene Fink; Garth A. Gibson; Jaime G. Carbonell (CLUSTER Workshops, 2012)

Recognition of Named-Event Passages in News Articles. - Luís Marujo; Wang Ling; Anatole Gershman; Jaime G. Carbonell; João Paulo Neto; David Martins de Matos (COLING (Demos), 2012)

Collaborative workflow for crowdsourcing translation. - Vamshi Ambati; Stephan Vogel; Jaime G. Carbonell (CSCW, 2012)

Cost-Sensitive Risk Stratification in the Diagnosis of Heart Disease. - Selen Uguroglu; Mark Doyle; Robert Biederman; Jaime G. Carbonell (IAAI, 2012)

Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization. - Luís Marujo; Anatole Gershman; Jaime G. Carbonell; Robert E. Frederking; João Paulo Neto (LREC, 2012)

Parameter Influence in Genetic Algorithm Optimization of Support Vector Machines. - Paulo Gaspar; Jaime G. Carbonell; José Luís Oliveira (PACBB, 2012)

Adaptive Multi-task Sparse Learning with an Application to fMRI Study. - Xi Chen 010; Jingrui He; Rick Lawrence; Jaime G. Carbonell (SDM, 2012)

Key Phrase Extraction of Lightly Filtered Broadcast News. - Luís Marujo; Ricardo Ribeiro 001; David Martins de Matos; João Paulo Neto; Anatole Gershman; Jaime G. Carbonell (TSD, 2012)

Techniques to cope with missing data in host-pathogen protein interaction prediction. - Meghana Kshirsagar 001; Jaime G. Carbonell; Judith Klein-Seetharaman (Bioinform., 2012)

An effective framework for characterizing rare categories. - Jingrui He; Hanghang Tong; Jaime G. Carbonell (Frontiers Comput. Sci., 2012)

On the parameter optimization of Support Vector Machines for binary classification. - Paulo Gaspar; Jaime G. Carbonell; José Luís Oliveira (J. Integr. Bioinform., 2012)

Structured Sparse Canonical Correlation Analysis. - Xi Chen 010; Han Liu 001; Jaime G. Carbonell (AISTATS, 2012)

The Effects of Lexical Resource Quality on Preference Violation Detection. - Jesse Dunietz; Lori S. Levin; Jaime G. Carbonell (ACL (2), 2013)

Learnability of DNF with representation-specific queries. - Liu Yang 001; Avrim Blum; Jaime G. Carbonell (ITCS, 2013)

Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. - Jeffrey Flanigan; Chris Dyer; Jaime G. Carbonell (HLT-NAACL, 2013)

Buy-in-Bulk Active Learning. - Liu Yang 001; Jaime G. Carbonell (NIPS, 2013)

Self reinforcement for important passage retrieval. - Ricardo Ribeiro 001; Luís Marujo; David Martins de Matos; João Paulo Neto; Anatole Gershman; Jaime G. Carbonell (SIGIR, 2013)

Multitask learning for host-pathogen protein interactions. - Meghana Kshirsagar 001; Jaime G. Carbonell; Judith Klein-Seetharaman (Bioinform., 2013)

Hourly Traffic Prediction of News Stories. - Luís Marujo; Miguel M. F. Bugalho; João Paulo da Silva Neto; Anatole Gershman; Jaime G. Carbonell (CoRR, 2013)

Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning. - Luís Marujo; Anatole Gershman; Jaime G. Carbonell; David Martins de Matos; João Paulo Neto (CoRR, 2013)

A theory of transfer learning with applications to active learning. - Liu Yang 001; Steve Hanneke; Jaime G. Carbonell (Mach. Learn., 2013)

A Discriminative Graph-Based Parser for the Abstract Meaning Representation. - Jeffrey Flanigan; Sam Thomson; Jaime G. Carbonell; Chris Dyer; Noah A. Smith (ACL (1), 2014)

Cross-Lingual Information to the Rescue in Keyword Extraction. - Chung-Chi Huang; Maxine Eskénazi; Jaime G. Carbonell; Lun-Wei Ku; Ping-Che Yang (ACL (System Demonstrations), 2014)

Proactive learning with multiple class-sensitive labelers. - Seungwhan Moon; Jaime G. Carbonell (DSAA, 2014)

Detecting Non-Adversarial Collusion in Crowdsourcing. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (HCOMP, 2014)

Saddle Points and Accelerated Perceptron Algorithms. - Adams Wei Yu; Fatma Kilinç-Karzan; Jaime G. Carbonell (ICML, 2014)

Textual Event Detection Using Fuzzy Fingerprints. - Luís Marujo; João Paulo Carvalho 001; Anatole Gershman; Jaime G. Carbonell; João Paulo Neto; David Martins de Matos (IEEE Conf. on Intelligent Systems (1), 2014)

Resources for the Detection of Conventionalized Metaphors in Four Languages. - Lori S. Levin; Teruko Mitamura; Brian MacWhinney; Davida Fromm; Jaime G. Carbonell; Weston Feely; Robert E. Frederking; Anatole Gershman; Carlos Ramírez (LREC, 2014)

Efficient Structured Matrix Rank Minimization. - Adams Wei Yu; Wanli Ma; Yaoliang Yu; Jaime G. Carbonell; Suvrit Sra (NIPS, 2014)

Privacy-Preserving Important Passage Retrieval. - Luís Marujo; José Portelo; David Martins de Matos; João Paulo Neto; Anatole Gershman; Jaime G. Carbonell; Isabel Trancoso; Bhiksha Raj (PIR@SIGIR, 2014)

Ensemble Detection of Single & Multiple Events at Sentence-Level. - Luís Marujo; Anatole Gershman; Jaime G. Carbonell; João Paulo Neto; David Martins de Matos (CoRR, 2014)

Unsupervised Phrasal Near-Synonym Generation from Text Corpora. - Dishan Gupta; Jaime G. Carbonell; Anatole Gershman; Steve Klein; David Miller (AAAI, 2015)

Frame-Semantic Role Labeling with Heterogeneous Annotations. - Meghana Kshirsagar 001; Sam Thomson; Nathan Schneider 001; Jaime G. Carbonell; Noah A. Smith; Chris Dyer (ACL (2), 2015)

Automatic Keyword Extraction on Twitter. - Luís Marujo; Wang Ling; Isabel Trancoso; Chris Dyer; Alan W. Black; Anatole Gershman; David Martins de Matos; João Paulo da Silva Neto; Jaime G. Carbonell (ACL (2), 2015)

Annotating Causal Language Using Corpus Lexicography of Constructions. - Jesse Dunietz; Lori S. Levin; Jaime G. Carbonell (LAW@NAACL-HLT, 2015)

Refining Literature Curated Protein Interactions Using Expert Opinions. - Öznur Tastan; Yanjun Qi; Jaime G. Carbonell; Judith Klein-Seetharaman (Pacific Symposium on Biocomputing, 2015)

Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach. - Luís Marujo; Ricardo Ribeiro 001; David Martins de Matos; João Paulo Neto; Anatole Gershman; Jaime G. Carbonell (*SEM@NAACL-HLT, 2015)

Modeling Event Extraction via Multilingual Data Sources. - Andrew Hsi; Jaime G. Carbonell; Yiming Yang (TAC, 2015)

Concept Graph Learning from Educational Data. - Yiming Yang; Hanxiao Liu; Jaime G. Carbonell; Wanli Ma (WSDM, 2015)

Privacy-Preserving Multi-Document Summarization. - Luís Marujo; José Portelo; Wang Ling; David Martins de Matos; João Paulo Neto; Anatole Gershman; Jaime G. Carbonell; Isabel Trancoso; Bhiksha Raj (CoRR, 2015)

Proactive Skill Posting in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (Australasian Conference on Artificial Intelligence, 2016)

Leveraging Multilingual Training for Limited Resource Event Extraction. - Andrew Hsi; Yiming Yang; Jaime G. Carbonell; Ruochen Xu (COLING, 2016)

Distributed Learning in Expert Referral Networks. - Ashiqur R. KhudaBukhsh; Peter J. Jansen; Jaime G. Carbonell (ECAI, 2016)

Data-driven Automated Induction of Prerequisite Structure Graphs. - Devendra Singh Chaplot; Yiming Yang; Jaime G. Carbonell; Kenneth R. Koedinger (EDM, 2016)

Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. - Akash Bharadwaj; David R. Mortensen; Chris Dyer; Jaime G. Carbonell (EMNLP, 2016)

Proactive-DIEL in Evolving Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (EUMAS/AT, 2016)

Efficient Shift-Invariant Dictionary Learning. - Guoqing Zheng; Yiming Yang; Jaime G. Carbonell (KDD, 2016)

Generation from Abstract Meaning Representation using Tree Transducers. - Jeffrey Flanigan; Chris Dyer; Noah A. Smith; Jaime G. Carbonell (HLT-NAACL, 2016)

Adaptive Smoothed Online Multi-Task Learning. - Keerthiram Murugesan; Hanxiao Liu; Jaime G. Carbonell; Yiming Yang (NIPS, 2016)

Proactive Transfer Learning for Heterogeneous Feature and Label Spaces. - Seungwhan Moon; Jaime G. Carbonell (ECML/PKDD (2), 2016)

CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss. - Jeffrey Flanigan; Chris Dyer; Noah A. Smith; Jaime G. Carbonell (SemEval@NAACL-HLT, 2016)

CMU CS Event TAC-KBP2016 Event Argument Extraction System. - Andrew Hsi; Jaime G. Carbonell; Yiming Yang (TAC, 2016)

Learning Concept Graphs from Online Educational Data. - Hanxiao Liu; Wanli Ma; Yiming Yang; Jaime G. Carbonell (J. Artif. Intell. Res., 2016)

Exploring events and distributed representations of text in multi-document summarization. - Luís Marujo; Wang Ling; Ricardo Ribeiro 001; Anatole Gershman; Jaime G. Carbonell; David Martins de Matos; João Paulo Neto (Knowl. Based Syst., 2016)

Vision-Language Fusion for Object Recognition. - Sz-Rung Shiang; Stephanie Rosenthal; Anatole Gershman; Jaime G. Carbonell; Jean Oh (AAAI, 2017)

The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations. - Jesse Dunietz; Lori S. Levin; Jaime G. Carbonell (LAW@ACL, 2017)

Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. - Jay Yoon Lee; Michael L. Wick; Jean-Baptiste Tristan; Jaime G. Carbonell (AKBC@NIPS, 2017)

Incentive Compatible Proactive Skill Posting in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (EUMAS/AT, 2017)

Nonparametric Neural Networks. - George Philipp; Jaime G. Carbonell (ICLR (Poster), 2017)

Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer. - Seungwhan Moon; Jaime G. Carbonell (IJCAI, 2017)

Self-Paced Multitask Learning with Shared Knowledge. - Keerthiram Murugesan; Jaime G. Carbonell (IJCAI, 2017)

Active Learning from Peers. - Keerthiram Murugesan; Jaime G. Carbonell (NIPS, 2017)

Multi-Task Multiple Kernel Relationship Learning. - Keerthiram Murugesan; Jaime G. Carbonell (SDM, 2017)

CMU CS Event TAC-KBP2017 Event Argument Extraction System. - Andrew Hsi; Jaime G. Carbonell; Yiming Yang (TAC, 2017)

Enforcing Constraints on Outputs with Unconstrained Inference. - Jay Yoon Lee; Michael L. Wick; Jean-Baptiste Tristan; Jaime G. Carbonell (CoRR, 2017)

Co-Clustering for Multitask Learning. - Keerthiram Murugesan; Jaime G. Carbonell; Yiming Yang (CoRR, 2017)

Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training. - Adams Wei Yu; Qihang Lin; Ruslan Salakhutdinov; Jaime G. Carbonell (CoRR, 2017)

Convolutional Normalizing Flows. - Guoqing Zheng; Yiming Yang; Jaime G. Carbonell (CoRR, 2017)

Likelihood Almost Free Inference Networks. - Guoqing Zheng; Yiming Yang; Jaime G. Carbonell (CoRR, 2017)

Multitask Matrix Completion for Learning Protein Interactions Across Diseases. - Meghana Kshirsagar 001; Keerthiram Murugesan; Jaime G. Carbonell; Judith Klein-Seetharaman (J. Comput. Biol., 2017)

Event-based summarization using a centrality-as-relevance model. - Luís Marujo; Ricardo Ribeiro 001; Anatole Gershman; David Martins de Matos; João Paulo Neto; Jaime G. Carbonell (Knowl. Inf. Syst., 2017)

The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. - Jaime G. Carbonell; Jade Goldstein (SIGIR Forum, 2017)

Automatically Tagging Constructions of Causation and Their Slot-Fillers. - Jesse Dunietz; Lori S. Levin; Jaime G. Carbonell (Trans. Assoc. Comput. Linguistics, 2017)

I Know What You Don't Know: Proactive Learning through Targeted Human Interaction. - Abdelwahab Bourai; Jaime G. Carbonell (AAMAS, 2018)

Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. - Aditi Chaudhary; Chunting Zhou; Lori S. Levin; Graham Neubig; David R. Mortensen; Jaime G. Carbonell (EMNLP, 2018)

DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers. - Jesse Dunietz; Jaime G. Carbonell; Lori S. Levin (EMNLP, 2018)

Towards Semi-Supervised Learning for Deep Semantic Role Labeling. - Sanket Vaibhav Mehta; Jay Yoon Lee; Jaime G. Carbonell (EMNLP, 2018)

Neural Cross-lingual Named Entity Recognition with Minimal Resources. - Jiateng Xie; Zhilin Yang 001; Graham Neubig; Noah A. Smith; Jaime G. Carbonell (EMNLP, 2018)

Temporal transfer learning for drift adaptation. - Daegun Won; Peter J. Jansen; Jaime G. Carbonell (ESANN, 2018)

Endorsement in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (EUMAS, 2018)

Gradients explode - Deep Networks are shallow - ResNet explained. - George Philipp; Dawn Song; Jaime G. Carbonell (ICLR (Workshop), 2018)

Market-Aware Proactive Skill Posting. - Ashiqur R. KhudaBukhsh; Jong Woo Hong; Jaime G. Carbonell (ISMIS, 2018)

Towards More Reliable Transfer Learning. - Zirui Wang; Jaime G. Carbonell (ECML/PKDD (2), 2018)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Taylor Berg-Kirkpatrick; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alexander G. Hauptmann; Florian Metze; Teruko Mitamura; Aditi Chaudhary; Xianyang Chen; Bernie Po-Yao Huang; Hector Zhengzhong Liu; et al. (TAC, 2018)

The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks. - George Philipp; Jaime G. Carbonell (CoRR, 2018)

Robust learning in expert networks: a comparative analysis. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (J. Intell. Inf. Syst., 2018)

Bounds on the minimax rate for estimating a prior over a VC class from independent learning tasks. - Liu Yang 001; Steve Hanneke; Jaime G. Carbonell (Theor. Comput. Sci., 2018)

Gradient-Based Inference for Networks with Output Constraints. - Jay Yoon Lee; Sanket Vaibhav Mehta; Michael L. Wick; Jean-Baptiste Tristan; Jaime G. Carbonell (AAAI, 2019)

Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. - Shruti Rijhwani; Jiateng Xie; Graham Neubig; Jaime G. Carbonell (AAAI, 2019)

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. - Zihang Dai; Zhilin Yang 001; Yiming Yang; Jaime G. Carbonell; Quoc Viet Le; Ruslan Salakhutdinov (ACL (1), 2019)

Domain Adaptation of Neural Machine Translation by Lexicon Induction. - Junjie Hu 001; Mengzhou Xia; Graham Neubig; Jaime G. Carbonell (ACL (1), 2019)

Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. - Petar Stojanov; Mingming Gong; Jaime G. Carbonell; Kun Zhang 001 (AISTATS, 2019)

Data-Driven Approach to Multiple-Source Domain Adaptation. - Petar Stojanov; Mingming Gong; Jaime G. Carbonell; Kun Zhang 001 (AISTATS, 2019)

Characterizing and Avoiding Negative Transfer. - Zirui Wang; Zihang Dai; Barnabás Póczos; Jaime G. Carbonell (CVPR, 2019)

A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. - Aditi Chaudhary; Jiateng Xie; Zaid Sheikh; Graham Neubig; Jaime G. Carbonell (EMNLP/IJCNLP (1), 2019)

Learning Rhyming Constraints using Structured Adversaries. - Harsh Jhamtani; Sanket Vaibhav Mehta; Jaime G. Carbonell; Taylor Berg-Kirkpatrick (EMNLP/IJCNLP (1), 2019)

XLNet: Generalized Autoregressive Pretraining for Language Understanding. - Zhilin Yang 001; Zihang Dai; Yiming Yang; Jaime G. Carbonell; Ruslan Salakhutdinov; Quoc V. Le (NeurIPS, 2019)

Toward Reciprocity-Aware Distributed Learning in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (PRICAI (2), 2019)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alex Hauptmann 001; Florian Metze; Teruko Mitamura; Zaid Sheikh; Ankit Dangi; Aditi Chaudhary; Xianyang Chen; Xiang Kong; et al. (TAC, 2019)

Expertise drift in referral networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (Auton. Agents Multi Agent Syst., 2019)

The ARIEL-CMU Systems for LoReHLT18. - Aditi Chaudhary; Siddharth Dalmia; Junjie Hu 001; Xinjian Li; Austin Matthews; Aldrian Obaja Muis; Naoki Otani; Shruti Rijhwani; Zaid Sheikh; Nidhi Vyas; Xinyi Wang 001; Jiateng Xie; et al. (CoRR, 2019)

CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. - Aditi Chaudhary; Elizabeth Salesky; Gayatri Bhat; David R. Mortensen; Jaime G. Carbonell; Yulia Tsvetkov (CoRR, 2019)

Kashmir: A Computational Analysis of the Voice of Peace. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (CoRR, 2019)

Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios. - Kyungtae Lim; Jay Yoon Lee; Jaime G. Carbonell; Thierry Poibeau (AAAI, 2020)

Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (AAAI, 2020)

Soft Gazetteers for Low-Resource Named Entity Recognition. - Shruti Rijhwani; Shuyan Zhou; Graham Neubig; Jaime G. Carbonell (ACL, 2020)

Hope Speech Detection: A Computational Analysis of the Voice of Peace. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (ECAI, 2020)

Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (ECAI, 2020)

The Refugee Experience Online: Surfacing Positivity Amidst Hate. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (ECAI, 2020)

Minimizing and Recovering from the Effect of Concept Drift via Feature Selection. - Daegun Won; Peter J. Jansen; Jaime G. Carbonell (ECAI, 2020)

Efficient Meta Lifelong-Learning with Limited Memory. - Zirui Wang; Sanket Vaibhav Mehta; Barnabás Póczos; Jaime G. Carbonell (EMNLP (1), 2020)

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. - Zirui Wang; Jiateng Xie; Ruochen Xu; Yiming Yang; Graham Neubig; Jaime G. Carbonell (ICLR, 2020)

Optimizing Data Usage via Differentiable Rewards. - Xinyi Wang 001; Hieu Pham; Paul Michel; Antonios Anastasopoulos; Jaime G. Carbonell; Graham Neubig (ICML, 2020)

Harnessing Code Switching to Transcend the Linguistic Barrier. - Ashiqur R. KhudaBukhsh; Shriphani Palakodety; Jaime G. Carbonell (IJCAI, 2020)

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (CoRR, 2020)

Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. - Shuyan Zhou; Shruti Rijhwani; John Wieting; Jaime G. Carbonell; Graham Neubig (Trans. Assoc. Comput. Linguistics, 2020)

StructSum: Summarization via Structured Representations. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (EACL, 2021)

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? - Petar Stojanov; Zijian Li 001; Mingming Gong; Ruichu Cai; Jaime G. Carbonell; Kun Zhang 001 (NeurIPS, 2021)