Anna Rumshisky

Affiliations:
  • University of Massachusetts Lowell, MA, USA


According to our database1, Anna Rumshisky authored at least 94 papers between 2002 and 2024.

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Bibliography

2024
Emergent Abilities in Reduced-Scale Generative Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

ReLoRA: High-Rank Training Through Low-Rank Updates.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prompt Perturbation Consistency Learning for Robust Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Deconstructing In-Context Learning: Understanding Prompts via Corruption.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

NarrativeTime: Dense Temporal Annotation on a Timeline.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Let's Reinforce Step by Step.
CoRR, 2023

Stack More Layers Differently: High-Rank Training Through Low-Rank Updates.
CoRR, 2023

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.
CoRR, 2023

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Sampling bias in NLU models: Impact and Mitigation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Self-Healing Through Error Detection, Attribution, and Retraining.
Proceedings of the IEEE International Conference on Acoustics, 2023

Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales.
CoRR, 2022

On Task-Adaptive Pretraining for Dialogue Response Selection.
CoRR, 2022

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.
CoRR, 2022

Learning to Ask Like a Physician.
CoRR, 2022

Federated Learning with Noisy User Feedback.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Controlled Data Generation via Insertion Operations for NLU.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

An Efficient DP-SGD Mechanism for Large Scale NLU Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Life after BERT: What do Other Muppets Understand about Language?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Down and Across: Introducing Crossword-Solving as a New NLP Benchmark.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models.
CoRR, 2021

Multi-Stream Transformers.
CoRR, 2021

BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT.
CoRR, 2021

BERT Busters: Outlier Dimensions that Disrupt Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
A Primer in BERTology: What We Know About How BERT Works.
Trans. Assoc. Comput. Linguistics, 2020

Continual Learning for Neural Semantic Parsing.
CoRR, 2020

When BERT Plays the Lottery, All Tickets Are Winning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A guide to the dataset explosion in QA, NLI, and commonsense reasoning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Towards Visual Dialog for Radiology.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MCN: A comprehensive corpus for medical concept normalization.
J. Biomed. Informatics, 2019

Injecting Hierarchy with U-Net Transformers.
CoRR, 2019

Memory-Augmented Recurrent Networks for Dialogue Coherence.
CoRR, 2019

NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline.
CoRR, 2019

Solving Math Word Problems with Double-Decoder Transformer.
CoRR, 2019

Visual Dialog for Radiology: Data Curation and FirstSteps.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Adversarial Decomposition of Text Representation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Revealing the Dark Secrets of BERT.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Adversarial Text Generation Without Reinforcement Learning.
CoRR, 2018

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction.
CoRR, 2018

Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Similarity-Based Reconstruction Loss for Meaning Representation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

What's in Your Embedding, And How It Predicts Task Performance.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Triad-based Neural Network for Coreference Resolution.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Context-Aware Neural Model for Temporal Information Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Combining Network and Language Indicators for Tracking Conflict Intensity.
Proceedings of the Social Informatics, 2017

SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels.
Proceedings of the 5th International Conference on Learning Representations, 2017

Here's My Point: Joint Pointer Architecture for Argument Mining.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

Towards Debate Automation: a Recurrent Model for Predicting Debate Winners.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Here's My Point: Argumentation Mining with Pointer Networks.
CoRR, 2016

#HashtagWars: Learning a Sense of Humor.
CoRR, 2016

Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting.
CoRR, 2016

SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Recommender System Incorporating User Personality Profile through Analysis of Written Reviews.
Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

Interpretable Topic Features for Post-ICU Mortality Prediction.
Proceedings of the AMIA 2016, 2016

MUTT: Metric Unit TesTing for Language Generation Tasks.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Ease of adoption of clinical natural language processing software: An evaluation of five systems.
J. Biomed. Informatics, 2015

Normalization of relative and incomplete temporal expressions in clinical narratives.
J. Am. Medical Informatics Assoc., 2015

TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations.
Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, 2015

GhostWriter: Using an LSTM for Automatic Rap Lyric Generation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
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., 2014

Unfolding physiological state: mortality modelling in intensive care units.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Annotating temporal information in clinical narratives.
J. Biomed. Informatics, 2013

Temporal reasoning over clinical text: the state of the art.
J. Am. Medical Informatics Assoc., 2013

Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.
J. Am. Medical Informatics Assoc., 2013

2012
Word Sense Inventories by Non-Experts.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Using UMLS for Word Sense Disambiguation in Clinical Notes.
Proceedings of the AMIA 2012, 2012

2011
Domain-specific entity extraction from noisy, unstructured data using ontology-guided search.
Int. J. Document Anal. Recognit., 2011

Crowdsourcing Word Sense Definition.
Proceedings of the Fifth Linguistic Annotation Workshop, 2011

2010
SemEval-2010 Task 7: Argument Selection and Coercion.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Mechanisms of Sense Extension in Verbs.
Proceedings of the A Way with Words, 2010

2009
SemEval-2010 Task 7: Argument Selection and Coercion.
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, 2009

GLML: Annotating Argument Selection and Coercion.
Proceedings of the Eight International Conference on Computational Semantics, 2009

Using domain knowledge for ontology-guided entity extraction from noisy, unstructured text data.
Proceedings of the Third Workshop on Analytics for Noisy Unstructured Text Data, 2009

2006
Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources.
Proceedings of the SIGDIAL 2006 Workshop, 2006

Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

Towards a Generative Lexical Resource: The Brandeis Semantic Ontology.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

Constructing a Corpus-based Ontology Using Model Bias.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005
Automating Temporal Annotation with TARSQI.
Proceedings of the ACL 2005, 2005

2004
Automated Induction of Sense in Context.
Proceedings of the COLING 2004, 2004

2002
Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics
CoRR, 2002


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