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- affiliation: University of Massachusetts Lowell, MA, USA
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2020 – today
- 2024
[c63]Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky:
Deconstructing In-Context Learning: Understanding Prompts via Corruption. LREC/COLING 2024: 4509-4529- [c62]Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky:
NarrativeTime: Dense Temporal Annotation on a Timeline. LREC/COLING 2024: 12053-12073 - [c61]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 - [c60]Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky:
ReLoRA: High-Rank Training Through Low-Rank Updates. ICLR 2024 - [c59]Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky:
Emergent Abilities in Reduced-Scale Generative Language Models. NAACL-HLT (Findings) 2024: 1242-1257 - [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 2024-09-13 00:43 CEST by the dblp team
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