Eunsol Choi

Orcid: 0000-0002-4397-5751

According to our database1, Eunsol Choi authored at least 67 papers between 2012 and 2024.

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Bibliography

2024
A Multi-sensory Kiosk Interface to Familiarize Users with New Foods.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions.
CoRR, 2024

BAT: Learning to Reason about Spatial Sounds with Large Language Models.
CoRR, 2024

2023
Understanding Postpartum Parents' Experiences via Two Digital Platforms.
Proc. ACM Hum. Comput. Interact., April, 2023

Crafting In-context Examples according to LMs' Parametric Knowledge.
CoRR, 2023

Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs.
CoRR, 2023

Understanding Retrieval Augmentation for Long-Form Question Answering.
CoRR, 2023

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.
CoRR, 2023

Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders.
CoRR, 2023

Unit-based Speech-to-Speech Translation Without Parallel Data.
CoRR, 2023

Complex Claim Verification with Evidence Retrieved in the Wild.
CoRR, 2023

Learning to Reject with a Fixed Predictor: Application to Decontextualization.
CoRR, 2023

Propagating Knowledge Updates to LMs Through Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continual Learning for On-Device Speech Recognition Using Disentangled Conformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Mitigating Temporal Misalignment by Discarding Outdated Facts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Continually Improving Extractive QA via Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DiffQG: Generating Questions to Summarize Factual Changes.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

A Critical Evaluation of Evaluations for Long-form Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Concise Answers to Complex Questions: Summarization of Long-form Answers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Quantifying Train-Evaluation Overlap with Nearest Neighbors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.
CoRR, 2022

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
CoRR, 2022

Modeling Exemplification in Long-form Question Answering via Retrieval.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Entity Cloze By Date: What LMs Know About Unseen Entities.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generating Literal and Implied Subquestions to Fact-check Complex Claims.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

How Do We Answer Complex Questions: Discourse Structure of Long-form Answers.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Simulating Bandit Learning from User Feedback for Extractive Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
QED: A Framework and Dataset for Explanations in Question Answering.
Trans. Assoc. Comput. Linguistics, 2021

Decontextualization: Making Sentences Stand-Alone.
Trans. Assoc. Comput. Linguistics, 2021

Misinfo Belief Frames: A Case Study on Covid & Climate News.
CoRR, 2021

Capturing Label Distribution: A Case Study in NLI.
CoRR, 2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

XOR QA: Cross-lingual Open-Retrieval Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

What Happens to My Instagram Account After I Die? Re-imagining Social Media as a Commemorative Space for Remembrance and Recovery.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

Learning with Different Amounts of Annotation: From Zero to Many Labels.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

SituatedQA: Incorporating Extra-Linguistic Contexts into QA.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Can NLI Models Verify QA Systems' Predictions?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Knowing More About Questions Can Help: Improving Calibration in Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages.
Trans. Assoc. Comput. Linguistics, 2020


Entities as Experts: Sparse Memory Access with Entity Supervision.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Learning To Understand Entities In Text.
PhD thesis, 2019

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

No Permanent Friends or Enemies: Tracking Relationships between Nations from News.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

FlowQA: Grasping Flow in History for Conversational Machine Comprehension.
Proceedings of the 7th International Conference on Learning Representations, 2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018
Neural Metaphor Detection in Context.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuAC: Question Answering in Context.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Ultra-Fine Entity Typing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Zero-Shot Relation Extraction via Reading Comprehension.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Coarse-to-Fine Question Answering for Long Documents.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Hierarchical Question Answering for Long Documents.
CoRR, 2016

Extracting Structured Scholarly Information from the Machine Translation Literature.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Document-level Sentiment Inference with Social, Faction, and Discourse Context.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Scalable Semantic Parsing with Partial Ontologies.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013
Scaling Semantic Parsers with On-the-Fly Ontology Matching.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper.
Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012


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