b'Eunsol Choi'

research

∙ 08/14/2023

Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders

In collaboration with Postpartum Support International (PSI), a non-prof...

0 Xuewen Yao, et al. ∙

research

∙ 06/15/2023

Propagating Knowledge Updates to LMs Through Distillation

Modern language models have the capacity to store and use immense amount...

0 Shankar Padmanabhan, et al. ∙

research

∙ 06/14/2023

When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants

We present the first unified study of the efficiency of self-attention-b...

0 Anuj Diwan, et al. ∙

research

∙ 05/30/2023

Concise Answers to Complex Questions: Summarization of Long-form Answers

Long-form question answering systems provide rich information by present...

0 Abhilash Potluri, et al. ∙

research

∙ 05/29/2023

A Critical Evaluation of Evaluations for Long-form Question Answering

Long-form question answering (LFQA) enables answering a wide range of qu...

0 Fangyuan Xu, et al. ∙

research

∙ 05/24/2023

Unit-based Speech-to-Speech Translation Without Parallel Data

We propose an unsupervised speech-to-speech translation (S2ST) system th...

0 Anuj Diwan, et al. ∙

research

∙ 05/24/2023

Mitigating Temporal Misalignment by Discarding Outdated Facts

While large language models are able to retain vast amounts of world kno...

0 Michael J. Q. Zhang, et al. ∙

research

∙ 05/21/2023

Continually Improving Extractive QA via Human Feedback

We study continually improving an extractive question answering (QA) sys...

0 Ge Gao, et al. ∙

research

∙ 05/19/2023

Complex Claim Verification with Evidence Retrieved in the Wild

Evidence retrieval is a core part of automatic fact-checking. Prior work...

0 Jifan Chen, et al. ∙

research

∙ 05/02/2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge

Pre-trained language models (LMs) are used for knowledge intensive tasks...

0 Yasumasa Onoe, et al. ∙

research

∙ 03/01/2023

DIFFQG: Generating Questions to Summarize Factual Changes

Identifying the difference between two versions of the same article is u...

0 Jeremy R. Cole, et al. ∙

research

∙ 01/22/2023

Learning to Reject with a Fixed Predictor: Application to Decontextualization

We study the problem of classification with a reject option for a fixed ...

0 Christopher Mohri, et al. ∙

research

∙ 12/22/2022

Understanding Postpartum Parents' Experiences via Two Digital Platforms

Digital platforms, including online forums and helplines, have emerged a...

0 Xuewen Yao, et al. ∙

research

∙ 12/02/2022

Continual Learning for On-Device Speech Recognition using Disentangled Conformers

Automatic speech recognition research focuses on training and evaluating...

0 Anuj Diwan, et al. ∙

research

∙ 11/29/2022

TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages

We study politeness phenomena in nine typologically diverse languages. P...

0 Anirudh Srinivasan, et al. ∙

research

∙ 11/28/2022

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources

While the NLP community is generally aware of resource disparities among...

0 Xinyan Velocity Yu, et al. ∙

research

∙ 11/01/2022

Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality

Recent visuolinguistic pre-trained models show promising progress on var...

0 Anuj Diwan, et al. ∙

research

∙ 10/25/2022

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence

Question answering models can use rich knowledge sources – up to one hun...

0 Hung-Ting Chen, et al. ∙

research

∙ 06/29/2022

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

Developing methods to adversarially challenge NLP systems is a promising...

0 Venelin Kovatchev, et al. ∙

research

∙ 05/19/2022

Modeling Exemplification in Long-form Question Answering via Retrieval

Exemplification is a process by which writers explain or clarify a conce...

0 Shufan Wang, et al. ∙

research

∙ 05/14/2022

Generating Literal and Implied Subquestions to Fact-check Complex Claims

Verifying complex political claims is a challenging task, especially whe...

0 Jifan Chen, et al. ∙

research

∙ 05/05/2022

Entity Cloze By Date: What LMs Know About Unseen Entities

Language models (LMs) are typically trained once on a large-scale corpus...

0 Yasumasa Onoe, et al. ∙

research

∙ 03/21/2022

How Do We Answer Complex Questions: Discourse Structure of Long-form Answers

Long-form answers, consisting of multiple sentences, can provide nuanced...

0 Fangyuan Xu, et al. ∙

research

∙ 03/18/2022

Simulating Bandit Learning from User Feedback for Extractive Question Answering

We study learning from user feedback for extractive question answering b...

0 Ge Gao, et al. ∙

research

∙ 09/13/2021

SituatedQA: Incorporating Extra-Linguistic Contexts into QA

Answers to the same question may change depending on the extra-linguisti...

0 Michael J. Q. Zhang, et al. ∙

research

∙ 09/09/2021

Learning with Different Amounts of Annotation: From Zero to Many Labels

Training NLP systems typically assumes access to annotated data that has...

0 Shujian Zhang, et al. ∙

research

∙ 09/03/2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

Most benchmark datasets targeting commonsense reasoning focus on everyda...

0 Yasumasa Onoe, et al. ∙

research

∙ 06/02/2021

Knowing More About Questions Can Help: Improving Calibration in Question Answering

We study calibration in question answering, estimating whether model cor...

0 Shujian Zhang, et al. ∙

research

∙ 04/18/2021

Misinfo Belief Frames: A Case Study on Covid Climate News

Prior beliefs of readers impact the way in which they project meaning on...

0 Saadia Gabriel, et al. ∙

research

∙ 04/18/2021

Can NLI Models Verify QA Systems' Predictions?

To build robust question answering systems, we need the ability to verif...

0 Jifan Chen, et al. ∙

research

∙ 02/13/2021

Capturing Label Distribution: A Case Study in NLI

We study estimating inherent human disagreement (annotation label distri...

0 Shujian Zhang, et al. ∙

research

∙ 02/09/2021

Decontextualization: Making Sentences Stand-Alone

Models for question answering, dialogue agents, and summarization often ...

7 Eunsol Choi, et al. ∙

research

∙ 01/01/2021

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

We review the EfficientQA competition from NeurIPS 2020. The competition...

15 Sewon Min, et al. ∙

research

∙ 10/22/2020

Challenges in Information Seeking QA:Unanswerable Questions and Paragraph Retrieval

Recent progress in pretrained language model "solved" many reading compr...

7 Akari Asai, et al. ∙

research

∙ 10/22/2020

XOR QA: Cross-lingual Open-Retrieval Question Answering

Multilingual question answering tasks typically assume answers exist in ...

9 Akari Asai, et al. ∙

research

∙ 09/08/2020

QED: A Framework and Dataset for Explanations in Question Answering

A question answering system that in addition to providing an answer prov...

0 Matthew Lamm, et al. ∙

research

∙ 04/15/2020

Entities as Experts: Sparse Memory Access with Entity Supervision

We focus on the problem of capturing declarative knowledge in the learne...

0 Thibault Févry, et al. ∙

research

∙ 03/10/2020

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Confidently making progress on multilingual modeling requires challengin...

0 Jonathan H. Clark, et al. ∙

research

∙ 10/22/2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

We present the results of the Machine Reading for Question Answering (MR...

0 Adam Fisch, et al. ∙

research

∙ 04/18/2019

No Permanent Friends or Enemies: Tracking Relationships between Nations from News

Understanding the dynamics of international politics is important yet ch...

0 Xiaochuang Han, et al. ∙

research

∙ 10/20/2018

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Reasoning about implied relationships (e.g. paraphrastic, common sense, ...

0 Mandar Joshi, et al. ∙

research

∙ 10/06/2018

FlowQA: Grasping Flow in History for Conversational Machine Comprehension

Conversational machine comprehension requires a deep understanding of th...

0 Hsin-Yuan Huang, et al. ∙

research

∙ 08/29/2018

Neural Metaphor Detection in Context

We present end-to-end neural models for detecting metaphorical word use ...

0 Ge Gao, et al. ∙

research

∙ 08/21/2018

QuAC : Question Answering in Context

We present QuAC, a dataset for Question Answering in Context that contai...

2 Eunsol Choi, et al. ∙

research

∙ 07/13/2018

Ultra-Fine Entity Typing

We introduce a new entity typing task: given a sentence with an entity m...

2 Eunsol Choi, et al. ∙

research

∙ 06/13/2017

Zero-Shot Relation Extraction via Reading Comprehension

We show that relation extraction can be reduced to answering simple read...

0 Omer Levy, et al. ∙

research

∙ 05/09/2017

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

We present TriviaQA, a challenging reading comprehension dataset contain...

0 Mandar Joshi, et al. ∙

research

∙ 11/06/2016

Hierarchical Question Answering for Long Documents

We present a framework for question answering that can efficiently scale...

0 Eunsol Choi, et al. ∙

Eunsol Choi

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