Menu-Based Interfaces to Conceptual Graphs: The CGLex Approach. - Galia Angelova; Svetlana Damianova; Kristina Toutanova; Kalina Bontcheva (ICCS, 1997)

Using Conceptual Graphs to Solve a Resource Allocation Task. - Svetlana Damianova; Kristina Toutanova (ICCS, 1999)

Text Classification in a Hierarchical Mixture Model for Small Training Sets. - Kristina Toutanova; Francine Chen 001; Kris Popat; Thomas Hofmann 001 (CIKM, 2001)

Pronunciation Modeling for Improved Spelling Correction. - Kristina Toutanova; Robert C. Moore (ACL, 2002)

The LinGO Redwoods Treebank: Motivation and Preliminary Applications. - Stephan Oepen; Kristina Toutanova; Stuart M. Shieber; Christopher D. Manning; Dan Flickinger; Thorsten Brants (COLING, 2002)

Feature Selection for a Rich HPSG Grammar Using Decision Trees. - Kristina Toutanova; Christopher D. Manning (CoNLL, 2002)

Extentions to HMM-based Statistical Word Alignment Models. - Kristina Toutanova; H. Tolga Ilhan; Christopher D. Manning (EMNLP, 2002)

CGWorld - Architecture and Features. - Pavlin Dobrev; Kristina Toutanova (ICCS, 2002)

Combining Heterogeneous Classifiers for Word Sense Disambiguation. - Dan Klein 001; Kristina Toutanova; H. Tolga Ilhan; Sepandar D. Kamvar; Christopher D. Manning (SENSEVAL, 2002)

Optimizing Local Probability Models for Statistical Parsing. - Kristina Toutanova; Mark Mitchell; Christopher D. Manning (ECML, 2003)

Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. - Kristina Toutanova; Dan Klein 001; Christopher D. Manning; Yoram Singer (HLT-NAACL, 2003)

The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection. - Kristina Toutanova; Penka Markova; Christopher D. Manning (EMNLP, 2004)

Learning random walk models for inducing word dependency distributions. - Kristina Toutanova; Christopher D. Manning; Andrew Y. Ng (ICML, 2004)

Joint Learning Improves Semantic Role Labeling. - Kristina Toutanova; Aria Haghighi; Christopher D. Manning (ACL, 2005)

A Joint Model for Semantic Role Labeling. - Aria Haghighi; Kristina Toutanova; Christopher D. Manning (CoNLL, 2005)

Effective statistical models for syntactic and semantic disambiguation. - Kristina Toutanova (2005)

Learning to Predict Case Markers in Japanese. - Hisami Suzuki; Kristina Toutanova (ACL, 2006)

Competitive generative models with structure learning for NLP classification tasks. - Kristina Toutanova (EMNLP, 2006)

Automatic Semantic Role Labeling. - Wen-tau Yih; Kristina Toutanova (HLT-NAACL, 2006)

Microsoft Research Treelet Translation System: NAACL 2006 Europarl Evaluation. - Arul Menezes; Kristina Toutanova; Chris Quirk (WMT@HLT-NAACL, 2006)

A Discriminative Syntactic Word Order Model for Machine Translation. - Pi-Chuan Chang; Kristina Toutanova (ACL, 2007)

A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. - Jianfeng Gao 001; Galen Andrew; Mark Johnson; Kristina Toutanova (ACL, 2007)

Generating Complex Morphology for Machine Translation. - Einat Minkov; Kristina Toutanova; Hisami Suzuki (ACL, 2007)

Generating Case Markers in Machine Translation. - Kristina Toutanova; Hisami Suzuki (HLT-NAACL, 2007)

A Bayesian LDA-based model for semi-supervised part-of-speech tagging. - Kristina Toutanova; Mark Johnson (NIPS, 2007)

Applying Morphology Generation Models to Machine Translation. - Kristina Toutanova; Hisami Suzuki; Achim Ruopp (ACL, 2008)

Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation. - Jia Xu 004; Jianfeng Gao 001; Kristina Toutanova; Hermann Ney (COLING, 2008)

A Global Joint Model for Semantic Role Labeling. - Kristina Toutanova; Aria Haghighi; Christopher D. Manning (Comput. Linguistics, 2008)

A global model for joint lemmatization and part-of-speech prediction. - Kristina Toutanova; Colin Cherry (ACL/IJCNLP, 2009)

Joint Optimization for Machine Translation System Combination. - Xiaodong He 001; Kristina Toutanova (EMNLP, 2009)

Unsupervised Morphological Segmentation with Log-Linear Models. - Hoifung Poon; Colin Cherry; Kristina Toutanova (HLT-NAACL, 2009)

A Discriminative Lexicon Model for Complex Morphology. - Minwoo Jeong; Kristina Toutanova; Hisami Suzuki; Chris Quirk (AMTA, 2010)

Translingual Document Representations from Discriminative Projections. - John C. Platt; Kristina Toutanova; Wen-tau Yih (EMNLP, 2010)

Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment. - Jason R. Smith 001; Chris Quirk; Kristina Toutanova (HLT-NAACL, 2010)

Unsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models. - Jason Naradowsky; Kristina Toutanova (ACL, 2011)

Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity. - Kristina Toutanova; Michel Galley (ACL (2), 2011)

Learning Discriminative Projections for Text Similarity Measures. - Wen-tau Yih; Kristina Toutanova; John C. Platt; Christopher Meek (CoNLL, 2011)

Clickthrough-based latent semantic models for web search. - Jianfeng Gao 001; Kristina Toutanova; Wen-tau Yih (SIGIR, 2011)

Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. - Sungchul Kim; Kristina Toutanova; Hwanjo Yu (ACL (1), 2012)

MSR SPLAT, a language analysis toolkit. - Chris Quirk; Pallavi Choudhury; Jianfeng Gao 001; Hisami Suzuki; Kristina Toutanova; Michael Gamon; Wen-tau Yih; Colin Cherry; Lucy Vanderwende (HLT-NAACL, 2012)

Learning Non-linear Features for Machine Translation Using Gradient Boosting Machines. - Kristina Toutanova; Byung-Gyu Ahn (ACL (2), 2013)

Regularized Minimum Error Rate Training. - Michel Galley; Chris Quirk; Colin Cherry; Kristina Toutanova (EMNLP, 2013)

Beyond Left-to-Right: Multiple Decomposition Structures for SMT. - Hui Zhang; Kristina Toutanova; Chris Quirk; Jianfeng Gao 001 (HLT-NAACL, 2013)

Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data. - Avneesh Saluja; Hany Hassan; Kristina Toutanova; Chris Quirk (ACL (1), 2014)

Asymmetric Features Of Human Generated Translation. - Sauleh Eetemadi; Kristina Toutanova (EMNLP, 2014)

Observed versus latent features for knowledge base and text inference. - Kristina Toutanova; Danqi Chen 001 (CVSC, 2015)

Model Selection for Type-Supervised Learning with Application to POS Tagging. - Kristina Toutanova; Waleed Ammar; Pallavi Choudhury; Hoifung Poon (CoNLL, 2015)

Representing Text for Joint Embedding of Text and Knowledge Bases. - Kristina Toutanova; Danqi Chen 001; Patrick Pantel; Hoifung Poon; Pallavi Choudhury; Michael Gamon (EMNLP, 2015)

Detecting Translation Direction: A Cross-Domain Study. - Sauleh Eetemadi; Kristina Toutanova (HLT-NAACL, 2015)

Grounded Semantic Parsing for Complex Knowledge Extraction. - Ankur P. Parikh; Hoifung Poon; Kristina Toutanova (HLT-NAACL, 2015)

Distant Supervision for Cancer Pathway Extraction from Text. - Hoifung Poon; Kristina Toutanova; Chris Quirk (Pacific Symposium on Biocomputing, 2015)

Survey of data-selection methods in statistical machine translation. - Sauleh Eetemadi; William Lewis; Kristina Toutanova; Hayder Radha (Mach. Transl., 2015)

Microsummarization of Online Reviews: An Experimental Study. - Rebecca Mason; Benjamin Gaska; Benjamin Van Durme; Pallavi Choudhury; Ted Hart; Bill Dolan; Kristina Toutanova; Margaret Mitchell (AAAI, 2016)

Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. - Kristina Toutanova; Xi Victoria Lin; Wen-tau Yih; Hoifung Poon; Chris Quirk (ACL (1), 2016)

A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. - Kristina Toutanova; Chris Brockett; Ke M. Tran; Saleema Amershi (EMNLP, 2016)

E-TIPSY: Search Query Corpus Annotated with Entities, Term Importance, POS Tags, and Syntactic Parses. - Yuval Marton; Kristina Toutanova (LREC, 2016)

A Nested Attention Neural Hybrid Model for Grammatical Error Correction. - Jianshu Ji; Qinlong Wang; Kristina Toutanova; Yongen Gong; Steven Truong; Jianfeng Gao 001 (ACL (1), 2017)

NLP for Precision Medicine. - Hoifung Poon; Chris Quirk; Kristina Toutanova; Wen-tau Yih (ACL (Tutorial Abstracts), 2017)

Cross-Sentence N-ary Relation Extraction with Graph LSTMs. - Nanyun Peng 001; Hoifung Poon; Chris Quirk; Kristina Toutanova; Wen-tau Yih (Trans. Assoc. Comput. Linguistics, 2017)

Improving Span-based Question Answering Systems with Coarsely Labeled Data. - Hao Cheng 002; Ming-Wei Chang; Kenton Lee; Ankur P. Parikh; Michael Collins 001; Kristina Toutanova (CoRR, 2018)

Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Kenton Lee; Ming-Wei Chang; Kristina Toutanova (ACL (1), 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions. - Lajanugen Logeswaran; Ming-Wei Chang; Kenton Lee; Kristina Toutanova; Jacob Devlin; Honglak Lee (ACL (1), 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Christopher Clark; Kenton Lee; Ming-Wei Chang; Tom Kwiatkowski; Michael Collins 001; Kristina Toutanova (NAACL-HLT (1), 2019)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. - Jacob Devlin; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (NAACL-HLT (1), 2019)

Language Model Pre-training for Hierarchical Document Representations. - Ming-Wei Chang; Kristina Toutanova; Kenton Lee; Jacob Devlin (CoRR, 2019)

Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. - Iulia Turc; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (CoRR, 2019)

Natural Questions: a Benchmark for Question Answering Research. - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins 001; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. - Hao Cheng 002; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (ACL, 2020)

Contextualized Representations Using Textual Encyclopedic Knowledge. - Mandar Joshi; Kenton Lee; Yi Luan; Kristina Toutanova (CoRR, 2020)

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? - Peter Shaw 004; Ming-Wei Chang; Panupong Pasupat; Kristina Toutanova (ACL/IJCNLP (1), 2021)

Representations for Question Answering from Documents with Tables and Text. - Vicky Zayats; Kristina Toutanova; Mari Ostendorf (EACL, 2021)

Joint Passage Ranking for Diverse Multi-Answer Retrieval. - Sewon Min; Kenton Lee; Ming-Wei Chang; Kristina Toutanova; Hannaneh Hajishirzi (EMNLP (1), 2021)

Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. - Iulia Turc; Kenton Lee; Jacob Eisenstein; Ming-Wei Chang; Kristina Toutanova (CoRR, 2021)

Sparse, Dense, and Attentional Representations for Text Retrieval. - Yi Luan; Jacob Eisenstein; Kristina Toutanova; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

Entity-Centric Query Refinement. - David Wadden; Nikita Gupta; Kenton Lee; Kristina Toutanova (AKBC, 2022)

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. - Linlu Qiu; Peter Shaw 004; Panupong Pasupat; Tianze Shi; Jonathan Herzig; Emily Pitler; Fei Sha; Kristina Toutanova (EMNLP, 2022)

Improving Compositional Generalization with Latent Structure and Data Augmentation. - Linlu Qiu; Peter Shaw 004; Panupong Pasupat; Pawel Krzysztof Nowak; Tal Linzen; Fei Sha; Kristina Toutanova (NAACL-HLT, 2022)

Generating recommendations for entity-oriented exploratory search. - David Wadden; Nikita Gupta; Kenton Lee; Kristina Toutanova (CoRR, 2022)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. - Chaitanya Malaviya; Peter Shaw 004; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (ACL (1), 2023)

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. - Hexiang Hu; Yi Luan; Yang Chen; Urvashi Khandelwal; Mandar Joshi; Kenton Lee; Kristina Toutanova; Ming-Wei Chang (ICCV, 2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu 001; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw 004; Ming-Wei Chang; Kristina Toutanova (ICML, 2023)

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Peter Shaw 004; Mandar Joshi; James Cohan; Jonathan Berant; Panupong Pasupat; Hexiang Hu; Urvashi Khandelwal; Kenton Lee; Kristina Toutanova (NeurIPS, 2023)

Anchor Prediction: Automatic Refinement of Internet Links. - Nelson F. Liu; Kenton Lee; Kristina Toutanova (CoRR, 2023)

Taming CLIP for Fine-Grained and Structured Visual Understanding of Museum Exhibits. - Ada-Astrid Balauca; Danda Pani Paudel; Kristina Toutanova; Luc Van Gool (ECCV (76), 2024)

Mitigating Catastrophic Forgetting in Language Transfer via Model Merging. - Anton Alexandrov; Veselin Raychev; Mark Mueller; Ce Zhang 001; Martin T. Vechev; Kristina Toutanova (EMNLP (Findings), 2024)

Efficient End-to-End Visual Document Understanding with Rationale Distillation. - Wang Zhu 001; Alekh Agarwal; Mandar Joshi; Robin Jia; Jesse Thomason; Kristina Toutanova (NAACL-HLT, 2024)

Mitigating Catastrophic Forgetting in Language Transfer via Model Merging. - Anton Alexandrov; Veselin Raychev; Mark Niklas Müller; Ce Zhang 001; Martin T. Vechev; Kristina Toutanova (CoRR, 2024)

Understanding the World's Museums through Vision-Language Reasoning. - Ada-Astrid Balauca; Sanjana Garai; Stefan Balauca; Rasesh Udayakumar Shetty; Naitik Agrawal; Dhwanil Subhashbhai Shah; Yuqian Fu; Xi Wang 021; Kristina Toutanova; Danda Pani Paudel; Luc Van Gool (CoRR, 2024)

BgGPT 1.0: Extending English-centric LLMs to other languages. - Anton Alexandrov; Veselin Raychev; Dimitar I. Dimitrov; Ce Zhang 001; Martin T. Vechev; Kristina Toutanova (CoRR, 2024)

Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models. - Lior Belenki; Alekh Agarwal; Tianze Shi; Kristina Toutanova (ACL (1), 2025)

ALTA: Compiler-Based Analysis of Transformers. - Peter Shaw 004; James Cohan; Jacob Eisenstein; Kenton Lee; Jonathan Berant; Kristina Toutanova (Trans. Mach. Learn. Res., 2025)