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Anna Rumshisky
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- affiliation: University of Massachusetts Lowell, MA, USA
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2020 – today
- 2024
- [c62]Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Deconstructing In-Context Learning: Understanding Prompts via Corruption. LREC/COLING 2024: 4509-4529 - [c61]Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense Temporal Annotation on a Timeline. LREC/COLING 2024: 12053-12073 - [c60]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) 2024: 1357-1370 - [c59]Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky:
ReLoRA: High-Rank Training Through Low-Rank Updates. ICLR 2024 - [i41]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR abs/2402.15833 (2024) - [i40]Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Deconstructing In-Context Learning: Understanding Prompts via Corruption. CoRR abs/2404.02054 (2024) - [i39]Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky:
Emergent Abilities in Reduced-Scale Generative Language Models. CoRR abs/2404.02204 (2024) - 2023
- [c58]Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky:
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL (Findings) 2023: 5298-5314 - [c57]Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza:
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. ACL (Findings) 2023: 9380-9394 - [c56]Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky:
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. EMNLP 2023: 2094-2107 - [c55]Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev
, Anil Ramakrishna, Yuval Merhav, Rahul Gupta:
Self-Healing Through Error Detection, Attribution, and Retraining. ICASSP 2023: 1-5 - [c54]Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta:
Sampling bias in NLU models: Impact and Mitigation. INTERSPEECH 2023: 755-759 - [c53]Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza:
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. WACV (Workshops) 2023: 390-400 - [e6]Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Anna Rumshisky:
Proceedings of the 5th Clinical Natural Language Processing Workshop, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-88-3 [contents] - [i38]Vladislav Lialin, Vijeta Deshpande, Anna Rumshisky:
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning. CoRR abs/2303.15647 (2023) - [i37]Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky:
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. CoRR abs/2303.16445 (2023) - [i36]Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza:
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. CoRR abs/2304.02080 (2023) - [i35]Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky:
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. CoRR abs/2305.17266 (2023) - [i34]Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza:
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. CoRR abs/2306.08756 (2023) - [i33]Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, Anna Rumshisky:
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates. CoRR abs/2307.05695 (2023) - [i32]Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Let's Reinforce Step by Step. CoRR abs/2311.05821 (2023) - 2022
- [c52]Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky:
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark. ACL (1) 2022: 2648-2659 - [c51]Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky:
Life after BERT: What do Other Muppets Understand about Language? ACL (1) 2022: 3180-3193 - [c50]Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky:
An Efficient DP-SGD Mechanism for Large Scale NLU Models. ICASSP 2022: 4118-4122 - [c49]Manoj Kumar, Anna Rumshisky, Rahul Gupta:
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. AACL/IJCNLP (1) 2022: 1-11 - [c48]Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza:
Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) 2022: 54-61 - [c47]Rahul Sharma
, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta:
Federated Learning with Noisy User Feedback. NAACL-HLT 2022: 2726-2739 - [e5]Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula:
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-40-7 [contents] - [i31]Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta:
Federated Learning with Noisy User Feedback. CoRR abs/2205.03092 (2022) - [i30]Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky:
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark. CoRR abs/2205.10442 (2022) - [i29]Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky:
Life after BERT: What do Other Muppets Understand about Language? CoRR abs/2205.10696 (2022) - [i28]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:
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - [i27]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:
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. CoRR abs/2208.01448 (2022) - [i26]Tzu-Hsiang Lin, Ta-Chung Chi, Anna Rumshisky:
On Task-Adaptive Pretraining for Dialogue Response Selection. CoRR abs/2210.04073 (2022) - [i25]Saurabh Kulshreshtha, Anna Rumshisky:
Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales. CoRR abs/2211.08466 (2022) - 2021
- [c46]Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers
, Anna Rumshisky:
BERT Busters: Outlier Dimensions that Disrupt Transformers. ACL/IJCNLP (Findings) 2021: 3392-3405 - [e4]Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
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. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6 [contents] - [i24]Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky:
BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT. CoRR abs/2105.06990 (2021) - [i23]Mikhail Burtsev, Anna Rumshisky:
Multi-Stream Transformers. CoRR abs/2107.10342 (2021) - [i22]Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky:
An Efficient DP-SGD Mechanism for Large Scale NLP Models. CoRR abs/2107.14586 (2021) - 2020
- [j9]Anna Rogers, Olga Kovaleva, Anna Rumshisky:
A Primer in BERTology: What We Know About How BERT Works. Trans. Assoc. Comput. Linguistics 8: 842-866 (2020) - [c45]Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky:
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. AAAI 2020: 8722-8731 - [c44]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:
Towards Visual Dialog for Radiology. BioNLP 2020: 60-69 - [c43]Anna Rogers, Anna Rumshisky:
A guide to the dataset explosion in QA, NLI, and commonsense reasoning. COLING (Tutorial) 2020: 27-32 - [c42]Sai Prasanna, Anna Rogers, Anna Rumshisky:
When BERT Plays the Lottery, All Tickets Are Winning. EMNLP (1) 2020: 3208-3229 - [e3]Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-74-3 [contents] - [e2]Anna Rogers, João Sedoc, Anna Rumshisky:
Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-66-8 [contents] - [i21]Anna Rogers, Olga Kovaleva, Anna Rumshisky:
A Primer in BERTology: What we know about how BERT works. CoRR abs/2002.12327 (2020) - [i20]Sai Prasanna, Anna Rogers, Anna Rumshisky:
When BERT Plays the Lottery, All Tickets Are Winning. CoRR abs/2005.00561 (2020) - [i19]Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah:
Continual Learning for Neural Semantic Parsing. CoRR abs/2010.07865 (2020)
2010 – 2019
- 2019
- [j8]Yen-Fu Luo, Weiyi Sun, Anna Rumshisky:
MCN: A comprehensive corpus for medical concept normalization. J. Biomed. Informatics 92 (2019) - [c41]Olga Kovaleva, Alexey Romanov, Anna Rogers
, Anna Rumshisky:
Revealing the Dark Secrets of BERT. EMNLP/IJCNLP (1) 2019: 4364-4373 - [c40]Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue:
Adversarial Decomposition of Text Representation. NAACL-HLT (1) 2019: 815-825 - [c39]Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai
:
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) 2019: 4187-4195 - [i18]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:
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS 2019 - [i17]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:
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. CoRR abs/1904.05233 (2019) - [i16]Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky:
Revealing the Dark Secrets of BERT. CoRR abs/1908.08593 (2019) - [i15]Yuanliang Meng, Anna Rumshisky:
Solving Math Word Problems with Double-Decoder Transformer. CoRR abs/1908.10924 (2019) - [i14]Anna Rogers, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline. CoRR abs/1908.11443 (2019) - [i13]David Donahue, Yuanliang Meng, Anna Rumshisky:
Memory-Augmented Recurrent Networks for Dialogue Coherence. CoRR abs/1910.10487 (2019) - [i12]David Donahue, Vladislav Lialin, Anna Rumshisky:
Injecting Hierarchy with U-Net Transformers. CoRR abs/1910.10488 (2019) - 2018
- [c38]Yuanliang Meng, Anna Rumshisky:
Context-Aware Neural Model for Temporal Information Extraction. ACL (1) 2018: 527-536 - [c37]Yuanliang Meng, Anna Rumshisky:
Triad-based Neural Network for Coreference Resolution. COLING 2018: 35-43 - [c36]Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov:
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. COLING 2018: 755-763 - [c35]Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky:
What's in Your Embedding, And How It Predicts Task Performance. COLING 2018: 2690-2703 - [c34]Olga Kovaleva, Anna Rumshisky, Alexey Romanov:
Similarity-Based Reconstruction Loss for Meaning Representation. EMNLP 2018: 4875-4880 - [c33]Yen-Fu Luo, Weiyi Sun, Anna Rumshisky:
A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative. ICHI 2018: 392-393 - [c32]Yuanliang Meng, Anna Rumshisky, Florence R. Sullivan:
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics. LREC 2018 - [i11]Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann:
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. CoRR abs/1803.02245 (2018) - [i10]Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue:
Adversarial Decomposition of Text Representation. CoRR abs/1808.09042 (2018) - [i9]Yuanliang Meng, Anna Rumshisky:
Triad-based Neural Network for Coreference Resolution. CoRR abs/1809.06491 (2018) - [i8]David Donahue, Anna Rumshisky:
Adversarial Text Generation Without Reinforcement Learning. CoRR abs/1810.06640 (2018) - 2017
- [c31]Peter Potash, Alexey Romanov, Anna Rumshisky, Mikhail Gronas:
Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014. NLPmJ@EMNLP 2017: 13-18 - [c30]Yuanliang Meng, Anna Rumshisky, Alexey Romanov:
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. EMNLP 2017: 887-896 - [c29]Peter Potash, Alexey Romanov, Anna Rumshisky:
Here's My Point: Joint Pointer Architecture for Argument Mining. EMNLP 2017: 1364-1373 - [c28]Peter Potash, Anna Rumshisky:
Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. EMNLP 2017: 2465-2475 - [c27]Alexey Romanov, Anna Rumshisky:
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels. ICLR (Workshop) 2017 - [c26]Peter Potash, Robin Bhattacharya, Anna Rumshisky:
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. IJCNLP(1) 2017: 342-351 - [c25]Peter Potash, Alexey Romanov, Anna Rumshisky:
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. SemEval@ACL 2017: 49-57 - [c24]David Donahue, Alexey Romanov, Anna Rumshisky:
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition. SemEval@ACL 2017: 98-102 - [c23]Anna Rumshisky, Mikhail Gronas, Peter Potash, Mikhail Dubov, Alexey Romanov, Saurabh Kulshreshtha, Alex Gribov:
Combining Network and Language Indicators for Tracking Conflict Intensity. SocInfo (2) 2017: 391-404 - [i7]Yuanliang Meng, Anna Rumshisky, Alexey Romanov:
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. CoRR abs/1703.05851 (2017) - [i6]Alexey Romanov, Anna Rumshisky:
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels. CoRR abs/1705.00574 (2017) - 2016
- [c22]William Boag, Renan Campos, Kate Saenko, Anna Rumshisky:
MUTT: Metric Unit TesTing for Language Generation Tasks. ACL (1) 2016 - [c21]Yen-Fu Luo, Anna Rumshisky:
Interpretable Topic Features for Post-ICU Mortality Prediction. AMIA 2016 - [c20]Peter Potash, Anna Rumshisky:
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. EMPIRE@RecSys 2016: 60-66 - [c19]Peter Potash, William Boag, Alexey Romanov, Vasili Ramanishka, Anna Rumshisky:
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. SemEval@NAACL-HLT 2016: 741-748 - [e1]Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
Proceedings of the Clinical Natural Language Processing Workshop, ClinicalNLP@COLING 2016, Osaka, Japan, December 11, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-710-5 [contents] - [i5]Peter Potash, Alexey Romanov, Anna Rumshisky:
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting. CoRR abs/1612.03205 (2016) - [i4]Peter Potash, Alexey Romanov, Anna Rumshisky:
#HashtagWars: Learning a Sense of Humor. CoRR abs/1612.03216 (2016) - [i3]Peter Potash, Alexey Romanov, Anna Rumshisky:
Here's My Point: Argumentation Mining with Pointer Networks. CoRR abs/1612.08994 (2016) - 2015
- [j7]Weiyi Sun, Anna Rumshisky, Özlem Uzuner
:
Normalization of relative and incomplete temporal expressions in clinical narratives. J. Am. Medical Informatics Assoc. 22(5): 1001-1008 (2015) - [j6]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:
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58: S189-S196 (2015) - [c18]Peter Potash, Alexey Romanov, Anna Rumshisky:
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. EMNLP 2015: 1919-1924 - [c17]Yen-Fu Luo, Anna Rumshisky, Mikhail Gronas:
Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations. LaTeCH@ACL 2015: 1-9 - [c16]William Boag, Peter Potash, Anna Rumshisky:
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis. SemEval@NAACL-HLT 2015: 640-646 - [i2]Weiyi Sun, Anna Rumshisky, Özlem Uzuner:
Normalization of Relative and Incomplete Temporal Expressions in Clinical Narratives. CoRR abs/1510.04972 (2015) - 2014
- [j5]Rachel Chasin, Anna Rumshisky, Özlem Uzuner
, Peter Szolovits
:
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. 21(5): 842-849 (2014) - [c15]Marzyeh Ghassemi, Tristan Naumann
, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits
:
Unfolding physiological state: mortality modelling in intensive care units. KDD 2014: 75-84 - 2013
- [j4]Weiyi Sun, Anna Rumshisky, Özlem Uzuner
:
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge. J. Am. Medical Informatics Assoc. 20(5): 806-813 (2013) - [j3]Weiyi Sun, Anna Rumshisky, Özlem Uzuner
:
Temporal reasoning over clinical text: the state of the art. J. Am. Medical Informatics Assoc. 20(5): 814-819 (2013) - [j2]Weiyi Sun, Anna Rumshisky, Özlem Uzuner
:
Annotating temporal information in clinical narratives. J. Biomed. Informatics 46(6): S5-S12 (2013) - 2012
- [c14]Anna Rumshisky, Rachel Chasin, Özlem Uzuner, Peter Szolovits:
Using UMLS for Word Sense Disambiguation in Clinical Notes. AMIA 2012 - [c13]Anna Rumshisky, Nick Botchan, Sophie Kushkuley, James Pustejovsky:
Word Sense Inventories by Non-Experts. LREC 2012: 4055-4059 - 2011
- [j1]Sergey Bratus, Anna Rumshisky, Alexy Khrabrov, Rajendra Magar, Paul Thompson:
Domain-specific entity extraction from noisy, unstructured data using ontology-guided search. Int. J. Document Anal. Recognit. 14(2): 201-211 (2011) - [c12]Anna Rumshisky:
Crowdsourcing Word Sense Definition. Linguistic Annotation Workshop 2011: 74-81 - 2010
- [c11]James Pustejovsky, Anna Rumshisky:
Mechanisms of Sense Extension in Verbs. A Way with Words 2010: 67-88 - [c10]James Pustejovsky, Anna Rumshisky, Alex Plotnick, Elisabetta Jezek, Olga Batiukova, Valeria Quochi:
SemEval-2010 Task 7: Argument Selection and Coercion. SemEval@ACL 2010: 27-32
2000 – 2009
- 2009
- [c9]Sergey Bratus, Anna Rumshisky, Rajendra Magar, Paul Thompson:
Using domain knowledge for ontology-guided entity extraction from noisy, unstructured text data. AND 2009: 101-106 - [c8]James Pustejovsky, Jessica Moszkowicz, Olga Batiukova, Anna Rumshisky:
GLML: Annotating Argument Selection and Coercion. IWCS 2009: 169-180 - [c7]James Pustejovsky, Anna Rumshisky:
SemEval-2010 Task 7: Argument Selection and Coercion. SEW@NAACL-HLT 2009: 88-93 - 2006
- [c6]Anna Rumshisky, Patrick Hanks, Catherine Havasi, James Pustejovsky:
Constructing a Corpus-based Ontology Using Model Bias. FLAIRS 2006: 327-332 - [c5]Anna Rumshisky, James Pustejovsky:
Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora. LREC 2006: 837-840 - [c4]James Pustejovsky, Catherine Havasi, Jessica Littman, Anna Rumshisky, Marc Verhagen:
Towards a Generative Lexical Resource: The Brandeis Semantic Ontology. LREC 2006: 1702-1705 - [c3]Ben Wellner, James Pustejovsky, Catherine Havasi, Anna Rumshisky, Roser Saurí:
Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources. SIGDIAL Workshop 2006: 117-125 - 2005
- [c2]Marc Verhagen, Inderjeet Mani, Roser Saurí, Jessica Littman, Robert Knippen, Seok Bae Jang, Anna Rumshisky, John Phillips, James Pustejovsky:
Automating Temporal Annotation with TARSQI. ACL 2005: 81-84 - 2004
- [c1]James Pustejovsky, Patrick Hanks, Anna Rumshisky:
Automated Induction of Sense in Context. COLING 2004 - 2002
- [i1]James Pustejovsky, Anna Rumshisky, José M. Castaño:
Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics. CoRR cs.CL/0209003 (2002)
Coauthor Index
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last updated on 2024-08-08 19:17 CEST by the dblp team
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