Search Results for author: Marti A. Hearst

Found 30 papers, 10 papers with code

Automatically Generating Cause-and-Effect Questions from Passages

1 code implementation EACL (BEA) 2021 Katherine Stasaski, Manav Rathod, Tony Tu, Yunfang Xiao, Marti A. Hearst

Automated question generation has the potential to greatly aid in education applications, such as online study aids to check understanding of readings.

Question Answering Question Generation +1

Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition

no code implementations19 Feb 2024 Anna Martin-Boyle, Aahan Tyagi, Marti A. Hearst, Dongyeop Kang

Numerous AI-assisted scholarly applications have been developed to aid different stages of the research process.

Beyond the Chat: Executable and Verifiable Text-Editing with LLMs

no code implementations27 Sep 2023 Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu

Conversational interfaces powered by Large Language Models (LLMs) have recently become a popular way to obtain feedback during document editing.

Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction

1 code implementation24 May 2023 Anna Martin-Boyle, Andrew Head, Kyle Lo, Risham Sidhu, Marti A. Hearst, Dongyeop Kang

We also introduce a new definition extraction method that masks mathematical symbols, creates a copy of each sentence for each symbol, specifies a target symbol, and predicts its corresponding definition spans using slot filling.

Definition Extraction Math +3

Pragmatically Appropriate Diversity for Dialogue Evaluation

no code implementations6 Apr 2023 Katherine Stasaski, Marti A. Hearst

To remedy this, we propose the notion of Pragmatically Appropriate Diversity, defined as the extent to which a conversation creates and constrains the creation of multiple diverse responses.

Dialogue Evaluation

Semantic Diversity in Dialogue with Natural Language Inference

no code implementations NAACL 2022 Katherine Stasaski, Marti A. Hearst

Second, we demonstrate how to iteratively improve the semantic diversity of a sampled set of responses via a new generation procedure called Diversity Threshold Generation, which results in an average 137% increase in NLI Diversity compared to standard generation procedures.

Dialogue Generation Natural Language Inference +1

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing

1 code implementation28 Feb 2022 Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo

When seeking information not covered in patient-friendly documents, like medical pamphlets, healthcare consumers may turn to the research literature.

NewsPod: Automatic and Interactive News Podcasts

no code implementations15 Feb 2022 Philippe Laban, Elicia Ye, Srujay Korlakunta, John Canny, Marti A. Hearst

News podcasts are a popular medium to stay informed and dive deep into news topics.

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

2 code implementations18 Nov 2021 Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst

In this work, we revisit the use of NLI for inconsistency detection, finding that past work suffered from a mismatch in input granularity between NLI datasets (sentence-level), and inconsistency detection (document level).

Natural Language Inference Sentence

Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test

1 code implementation ACL 2021 Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst

The Shuffle Test is the most common task to evaluate whether NLP models can measure coherence in text.

Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text

1 code implementation ACL 2021 Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst

This work presents Keep it Simple (KiS), a new approach to unsupervised text simplification which learns to balance a reward across three properties: fluency, salience and simplicity.

Reading Comprehension Text Simplification

News Headline Grouping as a Challenging NLU Task

1 code implementation NAACL 2021 Philippe Laban, Lucas Bandarkar, Marti A. Hearst

Recent progress in Natural Language Understanding (NLU) has seen the latest models outperform human performance on many standard tasks.

Natural Language Understanding

What's The Latest? A Question-driven News Chatbot

no code implementations ACL 2020 Philippe Laban, John Canny, Marti A. Hearst

This work describes an automatic news chatbot that draws content from a diverse set of news articles and creates conversations with a user about the news.


The Summary Loop: Learning to Write Abstractive Summaries Without Examples

1 code implementation ACL 2020 Philippe Laban, Andrew Hsi, John Canny, Marti A. Hearst

This work presents a new approach to unsupervised abstractive summarization based on maximizing a combination of coverage and fluency for a given length constraint.

Abstractive Text Summarization News Summarization

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions

1 code implementation EMNLP (sdp) 2020 Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst

Based on this analysis, we develop a new definition detection system, HEDDEx, that utilizes syntactic features, transformer encoders, and heuristic filters, and evaluate it on a standard sentence-level benchmark.


Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols

1 code implementation29 Sep 2020 Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst

We introduce ScholarPhi, an augmented reading interface with four novel features: (1) tooltips that surface position-sensitive definitions from elsewhere in a paper, (2) a filter over the paper that "declutters" it to reveal how the term or symbol is used across the paper, (3) automatic equation diagrams that expose multiple definitions in parallel, and (4) an automatically generated glossary of important terms and symbols.


CIMA: A Large Open Access Dialogue Dataset for Tutoring

no code implementations WS 2020 Katherine Stasaski, Kimberly Kao, Marti A. Hearst

To remedy this, we propose a novel asynchronous method for collecting tutoring dialogue via crowdworkers that is both amenable to the needs of deep learning algorithms and reflective of pedagogical concerns.

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

no code implementations EMNLP 2020 Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West

The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new directions.

Language Modelling

Towards augmenting crisis counselor training by improving message retrieval

no code implementations WS 2019 Orianna Demasi, Marti A. Hearst, Benjamin Recht

A fundamental challenge when training counselors is presenting novices with the opportunity to practice counseling distressed individuals without exacerbating a situation.


Multiple Choice Question Generation Utilizing An Ontology

no code implementations WS 2017 Katherine Stasaski, Marti A. Hearst

An in-depth analysis of the teachers{'} comments yields useful insights for any researcher working on automated question generation for educational applications.

Distractor Generation Multiple-choice +2

Detecting Figures and Part Labels in Patents: Competition-Based Development of Image Processing Algorithms

no code implementations24 Oct 2014 Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky, Karim R. Lakhani

We report the findings of a month-long online competition in which participants developed algorithms for augmenting the digital version of patent documents published by the United States Patent and Trademark Office (USPTO).

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