Anna Rumshisky

125 papers A* 11A 1B 8Misc 5Journal 52Unranked 42
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations.
CoRR
Vijeta Deshpande, Ishita Dasgupta, Uttaran Bhattacharya, Somdeb Sarkhel, Saayan Mitra, Anna Rumshisky
2025 A* conf
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models.
EMNLP
Vijeta Deshpande, Debasmita Ghose, John D. Patterson, Roger E. Beaty, Anna Rumshisky
2025 J jnl
Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models.
CoRR
Vijeta Deshpande, Debasmita Ghose, John D. Patterson, Roger E. Beaty, Anna Rumshisky
2025 — conf
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs.
NAACL (Long Papers)
Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025 J jnl
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs.
CoRR
Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025 — conf
On Localizing and Deleting Toxic Memories in Large Language Models.
NAACL (Findings)
Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta
2024 — conf
Deconstructing In-Context Learning: Understanding Prompts via Corruption.
LREC/COLING
Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
2024 J jnl
Deconstructing In-Context Learning: Understanding Prompts via Corruption.
CoRR
Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
2024 — conf
Emergent Abilities in Reduced-Scale Generative Language Models.
NAACL-HLT (Findings)
Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky
2024 J jnl
Emergent Abilities in Reduced-Scale Generative Language Models.
CoRR
Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky
2024 — conf
NarrativeTime: Dense Temporal Annotation on a Timeline.
LREC/COLING
Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky
2024 — conf
Prompt Perturbation Consistency Learning for Robust Language Models.
EACL (Findings)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
2024 J jnl
Prompt Perturbation Consistency Learning for Robust Language Models.
CoRR
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
2024 A* conf
ReLoRA: High-Rank Training Through Low-Rank Updates.
ICLR
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky
2023 — conf
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
ACL (Findings)
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky
2023 J jnl
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
CoRR
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky
2023 A* conf
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning.
EMNLP
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
2023 J jnl
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning.
CoRR
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
2023 J jnl
Let's Reinforce Step by Step.
CoRR
Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
2023 — ed.
Proceedings of the 5th Clinical Natural Language Processing Workshop, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023.
ClinicalNLP@ACL
Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Anna Rumshisky
2023 — conf
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models.
ACL (Findings)
Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza
2023 J jnl
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models.
CoRR
Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza
2023 A conf
Sampling bias in NLU models: Impact and Mitigation.
INTERSPEECH
Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta
2023 — conf
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.
WACV (Workshops)
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023 J jnl
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.
CoRR
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023 J jnl
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.
CoRR
Vladislav Lialin, Vijeta Deshpande, Anna Rumshisky
2023 Misc conf
Self-Healing Through Error Detection, Attribution, and Retraining.
ICASSP
Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta
2023 J jnl
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates.
CoRR
Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, Anna Rumshisky
2022 J jnl
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.
CoRR
Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan
2022 Misc conf
An Efficient DP-SGD Mechanism for Large Scale NLU Models.
ICASSP
Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky
2022 — conf
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets.
AACL/IJCNLP (1)
Manoj Kumar, Anna Rumshisky, Rahul Gupta
2022 — conf
Controlled Data Generation via Insertion Operations for NLU.
NAACL-HLT (Industry Papers)
Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza
2022 — conf
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark.
ACL (1)
Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky
2022 J jnl
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark.
CoRR
Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky
2022 — conf
Federated Learning with Noisy User Feedback.
NAACL-HLT
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
2022 J jnl
Federated Learning with Noisy User Feedback.
CoRR
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
2022 J jnl
Learning to Ask Like a Physician.
CoRR
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, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
2022 — conf
Life after BERT: What do Other Muppets Understand about Language?
ACL (1)
Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky
2022 J jnl
Life after BERT: What do Other Muppets Understand about Language?
CoRR
Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky
2022 J jnl
On Task-Adaptive Pretraining for Dialogue Response Selection.
CoRR
Tzu-Hsiang Lin, Ta-Chung Chi, Anna Rumshisky
2022 — ed.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022
Insights@ACL
Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula
2022 J jnl
Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales.
CoRR
Saurabh Kulshreshtha, Anna Rumshisky
2021 J jnl
An Efficient DP-SGD Mechanism for Large Scale NLP Models.
CoRR
Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky
2021 — conf
BERT Busters: Outlier Dimensions that Disrupt Transformers.
ACL/IJCNLP (Findings)
Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky
2021 J jnl
BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT.
CoRR
Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky
2021 J jnl
Multi-Stream Transformers.
CoRR
Mikhail Burtsev, Anna Rumshisky
2021 — ed.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021
NAACL-HLT
Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou
2020 J jnl
A Primer in BERTology: What We Know About How BERT Works.
Trans. Assoc. Comput. Linguistics
Anna Rogers, Olga Kovaleva, Anna Rumshisky
2020 J jnl
A Primer in BERTology: What we know about how BERT works.
CoRR
Anna Rogers, Olga Kovaleva, Anna Rumshisky
2020 — conf
A guide to the dataset explosion in QA, NLI, and commonsense reasoning.
COLING (Tutorial)
Anna Rogers, Anna Rumshisky
2020 J jnl
Continual Learning for Neural Semantic Parsing.
CoRR
Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah
2020 A* conf
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks.
AAAI
Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky
2020 — ed.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020
ClinicalNLP@EMNLP
Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann
2020 — ed.
Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020
Insights
Anna Rogers, João Sedoc, Anna Rumshisky
2020 — conf
Towards Visual Dialog for Radiology.
BioNLP
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
2020 — conf
When BERT Plays the Lottery, All Tickets Are Winning.
EMNLP (1)
Sai Prasanna, Anna Rogers, Anna Rumshisky
2020 J jnl
When BERT Plays the Lottery, All Tickets Are Winning.
CoRR
Sai Prasanna, Anna Rogers, Anna Rumshisky
2019 — conf
Adversarial Decomposition of Text Representation.
NAACL-HLT (1)
Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue
2019 J jnl
Injecting Hierarchy with U-Net Transformers.
CoRR
David Donahue, Vladislav Lialin, Anna Rumshisky
2019 J jnl
MCN: A comprehensive corpus for medical concept normalization.
J. Biomed. Informatics
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky
2019 J jnl
Memory-Augmented Recurrent Networks for Dialogue Coherence.
CoRR
David Donahue, Yuanliang Meng, Anna Rumshisky
2019 J jnl
NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline.
CoRR
Anna Rogers, Gregory Smelkov, Anna Rumshisky
2019 — conf
Revealing the Dark Secrets of BERT.
EMNLP/IJCNLP (1)
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky
2019 J jnl
Revealing the Dark Secrets of BERT.
CoRR
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky
2019 J jnl
Solving Math Word Problems with Double-Decoder Transformer.
CoRR
Yuanliang Meng, Anna Rumshisky
2019 — conf
Visual Dialog for Radiology: Data Curation and FirstSteps.
ViGIL@NeurIPS
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
2019 — conf
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
NAACL-HLT (1)
Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai
2019 J jnl
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
CoRR
Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
2018 — conf
A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative.
ICHI
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky
2018 J jnl
Adversarial Decomposition of Text Representation.
CoRR
Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue
2018 J jnl
Adversarial Text Generation Without Reinforcement Learning.
CoRR
David Donahue, Anna Rumshisky
2018 B conf
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics.
LREC
Yuanliang Meng, Anna Rumshisky, Florence R. Sullivan
2018 J jnl
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction.
CoRR
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
2018 — conf
Context-Aware Neural Model for Temporal Information Extraction.
ACL (1)
Yuanliang Meng, Anna Rumshisky
2018 B conf
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian.
COLING
Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov
2018 A* conf
Similarity-Based Reconstruction Loss for Meaning Representation.
EMNLP
Olga Kovaleva, Anna Rumshisky, Alexey Romanov
2018 B conf
Triad-based Neural Network for Coreference Resolution.
COLING
Yuanliang Meng, Anna Rumshisky
2018 J jnl
Triad-based Neural Network for Coreference Resolution.
CoRR
Yuanliang Meng, Anna Rumshisky
2018 B conf
What's in Your Embedding, And How It Predicts Task Performance.
COLING
Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky
2017 — conf
Combining Network and Language Indicators for Tracking Conflict Intensity.
SocInfo (2)
Anna Rumshisky, Mikhail Gronas, Peter Potash, Mikhail Dubov, Alexey Romanov, Saurabh Kulshreshtha, Alex Gribov
2017 — conf
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels.
ICLR (Workshop)
Alexey Romanov, Anna Rumshisky
2017 J jnl
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels.
CoRR
Alexey Romanov, Anna Rumshisky
2017 A* conf
Here's My Point: Joint Pointer Architecture for Argument Mining.
EMNLP
Peter Potash, Alexey Romanov, Anna Rumshisky
2017 — conf
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition.
SemEval@ACL
David Donahue, Alexey Romanov, Anna Rumshisky
2017 — conf
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness.
IJCNLP(1)
Peter Potash, Robin Bhattacharya, Anna Rumshisky
2017 — conf
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor.
SemEval@ACL
Peter Potash, Alexey Romanov, Anna Rumshisky
2017 A* conf
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture.
EMNLP
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
2017 J jnl
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture.
CoRR
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
2017 A* conf
Towards Debate Automation: a Recurrent Model for Predicting Debate Winners.
EMNLP
Peter Potash, Anna Rumshisky
2017 — conf
Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014.
NLPmJ@EMNLP
Peter Potash, Alexey Romanov, Anna Rumshisky, Mikhail Gronas
2016 J jnl
#HashtagWars: Learning a Sense of Humor.
CoRR
Peter Potash, Alexey Romanov, Anna Rumshisky
2016 J jnl
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting.
CoRR
Peter Potash, Alexey Romanov, Anna Rumshisky
2016 J jnl
Here's My Point: Argumentation Mining with Pointer Networks.
CoRR
Peter Potash, Alexey Romanov, Anna Rumshisky
2016 Misc conf
Interpretable Topic Features for Post-ICU Mortality Prediction.
AMIA
Yen-Fu Luo, Anna Rumshisky
2016 — conf
MUTT: Metric Unit TesTing for Language Generation Tasks.
ACL (1)
William Boag, Renan Campos, Kate Saenko, Anna Rumshisky
2016 — ed.
Proceedings of the Clinical Natural Language Processing Workshop, ClinicalNLP@COLING 2016, Osaka, Japan, December 11, 2016
ClinicalNLP@COLING 2016
Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann
2016 — conf
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews.
EMPIRE@RecSys
Peter Potash, Anna Rumshisky
2016 — conf
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity.
SemEval@NAACL-HLT
Peter Potash, William Boag, Alexey Romanov, Vasili Ramanishka, Anna Rumshisky
2015 — conf
Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations.
LaTeCH@ACL
Yen-Fu Luo, Anna Rumshisky, Mikhail Gronas
2015 J jnl
Ease of adoption of clinical natural language processing software: An evaluation of five systems.
J. Biomed. Informatics
Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu
2015 A* conf
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation.
EMNLP
Peter Potash, Alexey Romanov, Anna Rumshisky
2015 J jnl
Normalization of Relative and Incomplete Temporal Expressions in Clinical Narratives.
CoRR
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
2015 J jnl
Normalization of relative and incomplete temporal expressions in clinical narratives.
J. Am. Medical Informatics Assoc.
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
2015 — conf
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis.
SemEval@NAACL-HLT
William Boag, Peter Potash, Anna Rumshisky
2014 J jnl
Research and applications: Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods.
J. Am. Medical Informatics Assoc.
Rachel Chasin, Anna Rumshisky, Özlem Uzuner, Peter Szolovits
2014 A* conf
Unfolding physiological state: mortality modelling in intensive care units.
KDD
Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits
2013 J jnl
Annotating temporal information in clinical narratives.
J. Biomed. Informatics
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
2013 J jnl
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.
J. Am. Medical Informatics Assoc.
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
2013 J jnl
Temporal reasoning over clinical text: the state of the art.
J. Am. Medical Informatics Assoc.
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
2012 Misc conf
Using UMLS for Word Sense Disambiguation in Clinical Notes.
AMIA
Anna Rumshisky, Rachel Chasin, Özlem Uzuner, Peter Szolovits
2012 B conf
Word Sense Inventories by Non-Experts.
LREC
Anna Rumshisky, Nick Botchan, Sophie Kushkuley, James Pustejovsky
2011 — conf
Crowdsourcing Word Sense Definition.
Linguistic Annotation Workshop
Anna Rumshisky
2011 J jnl
Domain-specific entity extraction from noisy, unstructured data using ontology-guided search.
Int. J. Document Anal. Recognit.
Sergey Bratus, Anna Rumshisky, Alexy Khrabrov, Rajendra Magar, Paul Thompson
2010 — conf
Mechanisms of Sense Extension in Verbs.
A Way with Words
James Pustejovsky, Anna Rumshisky
2010 — conf
SemEval-2010 Task 7: Argument Selection and Coercion.
SemEval@ACL
James Pustejovsky, Anna Rumshisky, Alex Plotnick, Elisabetta Jezek, Olga Batiukova, Valeria Quochi
2009 — conf
GLML: Annotating Argument Selection and Coercion.
IWCS
James Pustejovsky, Jessica Moszkowicz, Olga Batiukova, Anna Rumshisky
2009 — conf
SemEval-2010 Task 7: Argument Selection and Coercion.
SEW@NAACL-HLT
James Pustejovsky, Anna Rumshisky
2009 — conf
Using domain knowledge for ontology-guided entity extraction from noisy, unstructured text data.
AND
Sergey Bratus, Anna Rumshisky, Rajendra Magar, Paul Thompson
2006 — conf
Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources.
SIGDIAL Workshop
Ben Wellner, James Pustejovsky, Catherine Havasi, Anna Rumshisky, Roser Saurí
2006 Misc conf
Constructing a Corpus-based Ontology Using Model Bias.
FLAIRS
Anna Rumshisky, Patrick Hanks, Catherine Havasi, James Pustejovsky
2006 B conf
Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora.
LREC
Anna Rumshisky, James Pustejovsky
2006 B conf
Towards a Generative Lexical Resource: The Brandeis Semantic Ontology.
LREC
James Pustejovsky, Catherine Havasi, Jessica Littman, Anna Rumshisky, Marc Verhagen
2005 A* conf
Automating Temporal Annotation with TARSQI.
ACL
Marc Verhagen, Inderjeet Mani, Roser Saurí, Jessica Littman, Robert Knippen, Seok Bae Jang, Anna Rumshisky, John Phillips, James Pustejovsky
2004 B conf
Automated Induction of Sense in Context.
COLING
James Pustejovsky, Patrick Hanks, Anna Rumshisky
2002 J jnl
Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics
CoRR
James Pustejovsky, Anna Rumshisky, José M. Castaño