Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics - James Pustejovsky; Anna Rumshisky; José M. Castaño (CoRR, 2002)

Automated Induction of Sense in Context. - James Pustejovsky; Patrick Hanks; Anna Rumshisky (COLING, 2004)

Automating Temporal Annotation with TARSQI. - Marc Verhagen; Inderjeet Mani; Roser Saurí; Jessica Littman; Robert Knippen; Seok Bae Jang; Anna Rumshisky; John Phillips; James Pustejovsky (ACL, 2005)

Constructing a Corpus-based Ontology Using Model Bias. - Anna Rumshisky; Patrick Hanks; Catherine Havasi; James Pustejovsky (FLAIRS, 2006)

Towards a Generative Lexical Resource: The Brandeis Semantic Ontology. - James Pustejovsky; Catherine Havasi; Jessica Littman; Anna Rumshisky; Marc Verhagen (LREC, 2006)

Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora. - Anna Rumshisky; James Pustejovsky (LREC, 2006)

Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources. - Ben Wellner; James Pustejovsky; Catherine Havasi; Anna Rumshisky; Roser Saurí (SIGDIAL Workshop, 2006)

Using domain knowledge for ontology-guided entity extraction from noisy, unstructured text data. - Sergey Bratus; Anna Rumshisky; Rajendra Magar; Paul Thompson (AND, 2009)

GLML: Annotating Argument Selection and Coercion. - James Pustejovsky; Jessica Moszkowicz; Olga Batiukova; Anna Rumshisky (IWCS, 2009)

SemEval-2010 Task 7: Argument Selection and Coercion. - James Pustejovsky; Anna Rumshisky (SEW@NAACL-HLT, 2009)

Mechanisms of Sense Extension in Verbs. - James Pustejovsky; Anna Rumshisky (A Way with Words, 2010)

SemEval-2010 Task 7: Argument Selection and Coercion. - James Pustejovsky; Anna Rumshisky; Alex Plotnick; Elisabetta Jezek; Olga Batiukova; Valeria Quochi (SemEval@ACL, 2010)

Crowdsourcing Word Sense Definition. - Anna Rumshisky (Linguistic Annotation Workshop, 2011)

Domain-specific entity extraction from noisy, unstructured data using ontology-guided search. - Sergey Bratus; Anna Rumshisky; Alexy Khrabrov 001; Rajendra Magar; Paul Thompson (Int. J. Document Anal. Recognit., 2011)

Using UMLS for Word Sense Disambiguation in Clinical Notes. - Anna Rumshisky; Rachel Chasin; Özlem Uzuner; Peter Szolovits (AMIA, 2012)

Word Sense Inventories by Non-Experts. - Anna Rumshisky; Nick Botchan; Sophie Kushkuley; James Pustejovsky (LREC, 2012)

Evaluating temporal relations in clinical text: 2012 i2b2 Challenge. - Weiyi Sun; Anna Rumshisky; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2013)

Temporal reasoning over clinical text: the state of the art. - Weiyi Sun; Anna Rumshisky; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2013)

Annotating temporal information in clinical narratives. - Weiyi Sun; Anna Rumshisky; Özlem Uzuner (J. Biomed. Informatics, 2013)

Unfolding physiological state: mortality modelling in intensive care units. - Marzyeh Ghassemi; Tristan Naumann; Finale Doshi-Velez; Nicole Brimmer; Rohit Joshi; Anna Rumshisky; Peter Szolovits (KDD, 2014)

Research and applications: Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. - Rachel Chasin; Anna Rumshisky; Özlem Uzuner; Peter Szolovits (J. Am. Medical Informatics Assoc., 2014)

GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. - Peter Potash; Alexey Romanov; Anna Rumshisky (EMNLP, 2015)

Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations. - Yen-Fu Luo; Anna Rumshisky; Mikhail Gronas (LaTeCH@ACL, 2015)

TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis. - William Boag; Peter Potash; Anna Rumshisky (SemEval@NAACL-HLT, 2015)

Normalization of relative and incomplete temporal expressions in clinical narratives. - Weiyi Sun; Anna Rumshisky; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2015)

Ease of adoption of clinical natural language processing software: An evaluation of five systems. - Kai Zheng 002; V. G. Vinod Vydiswaran; Yang Liu 019; Yue Wang 035; Amber Stubbs; Özlem Uzuner; Anupama E. Gururaj; Samuel Bayer; John S. Aberdeen; Anna Rumshisky; Serguei Pakhomov; Hongfang Liu; et al. (J. Biomed. Informatics, 2015)

MUTT: Metric Unit TesTing for Language Generation Tasks. - William Boag; Renan Campos; Kate Saenko; Anna Rumshisky (ACL (1), 2016)

Interpretable Topic Features for Post-ICU Mortality Prediction. - Yen-Fu Luo; Anna Rumshisky (AMIA, 2016)

Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. - Peter Potash; Anna Rumshisky (EMPIRE@RecSys, 2016)

SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. - Peter Potash; William Boag; Alexey Romanov; Vasili Ramanishka; Anna Rumshisky (SemEval@NAACL-HLT, 2016)

Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting. - Peter Potash; Alexey Romanov; Anna Rumshisky (CoRR, 2016)

#HashtagWars: Learning a Sense of Humor. - Peter Potash; Alexey Romanov; Anna Rumshisky (CoRR, 2016)

Here's My Point: Argumentation Mining with Pointer Networks. - Peter Potash; Alexey Romanov; Anna Rumshisky (CoRR, 2016)

Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. - Yuanliang Meng; Anna Rumshisky; Alexey Romanov (EMNLP, 2017)

Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. - Peter Potash; Anna Rumshisky (EMNLP, 2017)

Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014. - Peter Potash; Alexey Romanov; Anna Rumshisky; Mikhail Gronas (NLPmJ@EMNLP, 2017)

Here's My Point: Joint Pointer Architecture for Argument Mining. - Peter Potash; Alexey Romanov; Anna Rumshisky (EMNLP, 2017)

Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels. - Alexey Romanov; Anna Rumshisky (ICLR (Workshop), 2017)

Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. - Peter Potash; Robin Bhattacharya; Anna Rumshisky (IJCNLP(1), 2017)

HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition. - David Donahue; Alexey Romanov; Anna Rumshisky (SemEval@ACL, 2017)

SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. - Peter Potash; Alexey Romanov; Anna Rumshisky (SemEval@ACL, 2017)

Combining Network and Language Indicators for Tracking Conflict Intensity. - Anna Rumshisky; Mikhail Gronas; Peter Potash; Mikhail Dubov; Alexey Romanov; Saurabh Kulshreshtha; Alex Gribov (SocInfo (2), 2017)

Context-Aware Neural Model for Temporal Information Extraction. - Yuanliang Meng; Anna Rumshisky (ACL (1), 2018)

Triad-based Neural Network for Coreference Resolution. - Yuanliang Meng; Anna Rumshisky (COLING, 2018)

What's in Your Embedding, And How It Predicts Task Performance. - Anna Rogers; Shashwath Hosur Ananthakrishna; Anna Rumshisky (COLING, 2018)

RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. - Anna Rogers; Alexey Romanov; Anna Rumshisky; Svitlana Volkova; Mikhail Gronas; Alex Gribov (COLING, 2018)

Similarity-Based Reconstruction Loss for Meaning Representation. - Olga Kovaleva; Anna Rumshisky; Alexey Romanov (EMNLP, 2018)

A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative. - Yen-Fu Luo; Weiyi Sun; Anna Rumshisky (ICHI, 2018)

Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics. - Yuanliang Meng; Anna Rumshisky; Florence R. Sullivan (LREC, 2018)

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. - Willie Boag; Elena Sergeeva; Saurabh Kulshreshtha; Peter Szolovits; Anna Rumshisky; Tristan Naumann (CoRR, 2018)

Adversarial Text Generation Without Reinforcement Learning. - David Donahue; Anna Rumshisky (CoRR, 2018)

Revealing the Dark Secrets of BERT. - Olga Kovaleva; Alexey Romanov; Anna Rogers; Anna Rumshisky (EMNLP/IJCNLP (1), 2019)

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. - Alexey Romanov; Maria De-Arteaga; Hanna M. Wallach; Jennifer T. Chayes; Christian Borgs; Alexandra Chouldechova; Sahin Cem Geyik; Krishnaram Kenthapadi; Anna Rumshisky; Adam Kalai (NAACL-HLT (1), 2019)

Adversarial Decomposition of Text Representation. - Alexey Romanov; Anna Rumshisky; Anna Rogers; David Donahue (NAACL-HLT (1), 2019)

Visual Dialog for Radiology: Data Curation and FirstSteps. - Olga Kovaleva; Chaitanya Shivade; Satyananda Kashyap; Karina Kanjaria; Adam Coy; Deddeh Ballah; Yufan Guo; Joy T. Wu; Alexandros Karargyris; David Beymer; Anna Rumshisky; Vandana V. Mukherjee (ViGIL@NeurIPS, 2019)

Solving Math Word Problems with Double-Decoder Transformer. - Yuanliang Meng; Anna Rumshisky (CoRR, 2019)

NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline. - Anna Rogers; Gregory Smelkov; Anna Rumshisky (CoRR, 2019)

Memory-Augmented Recurrent Networks for Dialogue Coherence. - David Donahue; Yuanliang Meng; Anna Rumshisky (CoRR, 2019)

Injecting Hierarchy with U-Net Transformers. - David Donahue; Vladislav Lialin; Anna Rumshisky (CoRR, 2019)

MCN: A comprehensive corpus for medical concept normalization. - Yen-Fu Luo; Weiyi Sun; Anna Rumshisky (J. Biomed. Informatics, 2019)

Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. - Anna Rogers; Olga Kovaleva; Matthew Downey; Anna Rumshisky (AAAI, 2020)

Towards Visual Dialog for Radiology. - Olga Kovaleva; Chaitanya Shivade; Satyananda Kashyap; Karina Kanjaria; Joy T. Wu; Deddeh Ballah; Adam Coy; Alexandros Karargyris; Yufan Guo; David James Beymer; Anna Rumshisky; Vandana V. Mukherjee (BioNLP, 2020)

A guide to the dataset explosion in QA, NLI, and commonsense reasoning. - Anna Rogers; Anna Rumshisky (COLING (Tutorial), 2020)

When BERT Plays the Lottery, All Tickets Are Winning. - Sai Prasanna; Anna Rogers; Anna Rumshisky (EMNLP (1), 2020)

Continual Learning for Neural Semantic Parsing. - Vladislav Lialin; Rahul Goel; Andrey Simanovsky; Anna Rumshisky; Rushin Shah (CoRR, 2020)

A Primer in BERTology: What We Know About How BERT Works. - Anna Rogers; Olga Kovaleva; Anna Rumshisky (Trans. Assoc. Comput. Linguistics, 2020)

BERT Busters: Outlier Dimensions that Disrupt Transformers. - Olga Kovaleva; Saurabh Kulshreshtha; Anna Rogers; Anna Rumshisky (ACL/IJCNLP (Findings), 2021)

BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT. - Olga Kovaleva; Saurabh Kulshreshtha; Anna Rogers; Anna Rumshisky (CoRR, 2021)

Multi-Stream Transformers. - Mikhail Burtsev 001; Anna Rumshisky (CoRR, 2021)

An Efficient DP-SGD Mechanism for Large Scale NLP Models. - Christophe Dupuy; Radhika Arava; Rahul Gupta 001; Anna Rumshisky (CoRR, 2021)

Down and Across: Introducing Crossword-Solving as a New NLP Benchmark. - Saurabh Kulshreshtha; Olga Kovaleva; Namrata Shivagunde; Anna Rumshisky (ACL (1), 2022)

Life after BERT: What do Other Muppets Understand about Language? - Vladislav Lialin; Kevin Zhao; Namrata Shivagunde; Anna Rumshisky (ACL (1), 2022)

An Efficient DP-SGD Mechanism for Large Scale NLU Models. - Christophe Dupuy; Radhika Arava; Rahul Gupta 001; Anna Rumshisky (ICASSP, 2022)

Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. - Manoj Kumar 007; Anna Rumshisky; Rahul Gupta 001 (AACL/IJCNLP (1), 2022)

Controlled Data Generation via Insertion Operations for NLU. - Manoj Kumar 007; Yuval Merhav; Haidar Khan; Rahul Gupta 001; Anna Rumshisky; Wael Hamza (NAACL-HLT (Industry Papers), 2022)

Federated Learning with Noisy User Feedback. - Rahul Sharma; Anil Ramakrishna; Ansel MacLaughlin; Anna Rumshisky; Jimit Majmudar; Clement Chung; Salman Avestimehr; Rahul Gupta 001 (NAACL-HLT, 2022)

Learning to Ask Like a Physician. - Eric Lehman; Vladislav Lialin; Katelyn Y. Legaspi; Anne Janelle R. Sy; Patricia Therese S. Pile; Nicole Rose I. Alberto; Richard Raymund R. Ragasa; Corinna Victoria M. Puyat; Isabelle Rose I. Alberto; Pia Gabrielle I. Alfonso; Marianne Taliño; Dana Moukheiber; et al. (CoRR, 2022)

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Saleh Soltan; Shankar Ananthakrishnan; Jack FitzGerald; Rahul Gupta 001; Wael Hamza; Haidar Khan; Charith Peris; Stephen Rawls; Andy Rosenbaum; Anna Rumshisky; Chandana Satya Prakash; Mukund Sridhar; et al. (CoRR, 2022)

On Task-Adaptive Pretraining for Dialogue Response Selection. - Tzu-Hsiang Lin; Ta-Chung Chi; Anna Rumshisky (CoRR, 2022)

Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales. - Saurabh Kulshreshtha; Anna Rumshisky (CoRR, 2022)

Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. - Vijeta Deshpande; Dan Pechi; Shree Thatte; Vladislav Lialin; Anna Rumshisky (ACL (Findings), 2023)

Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. - Saleh Soltan; Andy Rosenbaum; Tobias Falke; Qin Lu; Anna Rumshisky; Wael Hamza (ACL (Findings), 2023)

Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. - Namrata Shivagunde; Vladislav Lialin; Anna Rumshisky (EMNLP, 2023)

Self-Healing Through Error Detection, Attribution, and Retraining. - Ansel MacLaughlin; Anna Rumshisky; Rinat Khaziev; Anil Ramakrishna; Yuval Merhav; Rahul Gupta 001 (ICASSP, 2023)

Sampling bias in NLU models: Impact and Mitigation. - Zefei Li; Anil Ramakrishna; Anna Rumshisky; Andy Rosenbaum; Saleh Soltan; Rahul Gupta 001 (INTERSPEECH, 2023)

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. - Vladislav Lialin; Stephen Rawls; David Chan; Shalini Ghosh; Anna Rumshisky; Wael Hamza (WACV (Workshops), 2023)

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning. - Vladislav Lialin; Vijeta Deshpande; Anna Rumshisky (CoRR, 2023)

Stack More Layers Differently: High-Rank Training Through Low-Rank Updates. - Vladislav Lialin; Namrata Shivagunde; Sherin Muckatira; Anna Rumshisky (CoRR, 2023)

Let's Reinforce Step by Step. - Sarah Pan; Vladislav Lialin; Sherin Muckatira; Anna Rumshisky (CoRR, 2023)

NarrativeTime: Dense Temporal Annotation on a Timeline. - Anna Rogers; Marzena Karpinska; Ankita Gupta; Vladislav Lialin; Gregory Smelkov; Anna Rumshisky (LREC/COLING, 2024)

Deconstructing In-Context Learning: Understanding Prompts via Corruption. - Namrata Shivagunde; Vladislav Lialin; Sherin Muckatira; Anna Rumshisky (LREC/COLING, 2024)

Prompt Perturbation Consistency Learning for Robust Language Models. - Yao Qiang; Subhrangshu Nandi; Ninareh Mehrabi; Greg Ver Steeg; Anoop Kumar; Anna Rumshisky; Aram Galstyan (EACL (Findings), 2024)

ReLoRA: High-Rank Training Through Low-Rank Updates. - Vladislav Lialin; Sherin Muckatira; Namrata Shivagunde; Anna Rumshisky (ICLR, 2024)

Emergent Abilities in Reduced-Scale Generative Language Models. - Sherin Muckatira; Vijeta Deshpande; Vladislav Lialin; Anna Rumshisky (NAACL-HLT (Findings), 2024)

On Localizing and Deleting Toxic Memories in Large Language Models. - Anubrata Das 001; Manoj Kumar 007; Ninareh Mehrabi; Anil Ramakrishna; Anna Rumshisky; Kai-Wei Chang; Aram Galstyan; Morteza Ziyadi; Rahul Gupta 001 (NAACL (Findings), 2025)

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs. - Yuhang Zhou; Giannis Karamanolakis; Victor Soto; Anna Rumshisky; Mayank Kulkarni; Furong Huang; Wei Ai 002; Jianhua Lu (NAACL (Long Papers), 2025)

Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models. - Vijeta Deshpande; Debasmita Ghose; John D. Patterson; Roger E. Beaty; Anna Rumshisky (CoRR, 2025)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations. - Vijeta Deshpande; Ishita Dasgupta 002; Uttaran Bhattacharya; Somdeb Sarkhel; Saayan Mitra; Anna Rumshisky (CoRR, 2025)