Alexander R. Fabbri

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research

∙ 09/17/2023

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles

Previous research in multi-document news summarization has typically con...

0 Kung-Hsiang Huang, et al. ∙

research

∙ 05/28/2023

Generating EDU Extracts for Plan-Guided Summary Re-Ranking

Two-step approaches, in which summary candidates are generated-then-rera...

0 Griffin Adams, et al. ∙

research

∙ 05/23/2023

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond

With the recent appearance of LLMs in practical settings, having methods...

0 Philippe Laban, et al. ∙

research

∙ 05/23/2023

On Learning to Summarize with Large Language Models as References

Recent studies have found that summaries generated by large language mod...

0 Yixin Liu, et al. ∙

research

∙ 03/07/2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation

Interpretability and efficiency are two important considerations for the...

13 Yixin Liu, et al. ∙

research

∙ 12/20/2022

Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization

In long document controllable summarization, where labeled data is scarc...

0 Artidoro Pagnoni, et al. ∙

research

∙ 12/15/2022

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Human evaluation is the foundation upon which the evaluation of both sum...

12 Yixin Liu, et al. ∙

research

∙ 11/29/2022

Zero-Shot Opinion Summarization with GPT-3

Very large language models such as GPT-3 have shown impressive performan...

0 Adithya Bhaskar, et al. ∙

research

∙ 11/11/2022

Improving Factual Consistency in Summarization with Compression-Based Post-Editing

State-of-the-art summarization models still struggle to be factually con...

0 Alexander R. Fabbri, et al. ∙

research

∙ 11/10/2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing

This paper introduces the shared task of summarizing documents in severa...

0 Divyansh Agarwal, et al. ∙

research

∙ 05/25/2022

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors

The propensity of abstractive summarization systems to make factual erro...

0 Liyan Tang, et al. ∙

research

∙ 12/16/2021

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Factual consistency is an essential quality of text summarization models...

0 Alexander R. Fabbri, et al. ∙

research

∙ 12/14/2021

Exploring Neural Models for Query-Focused Summarization

Query-focused summarization (QFS) aims to produce summaries that answer ...

7 Jesse Vig, et al. ∙

research

∙ 11/11/2021

AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization

Community Question Answering (CQA) fora such as Stack Overflow and Yahoo...

0 Alexander R. Fabbri, et al. ∙

research

∙ 09/19/2021

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries

Current pre-trained models applied to summarization are prone to factual...

9 Xiangru Tang, et al. ∙

research

∙ 06/01/2021

ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining

While online conversations can cover a vast amount of information in man...

10 Alexander R. Fabbri, et al. ∙

research

∙ 04/17/2021

Multi-Perspective Abstractive Answer Summarization

Community Question Answering (CQA) forums such as Stack Overflow and Yah...

0 Alexander R. Fabbri, et al. ∙

research

∙ 10/24/2020

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation

Models pretrained with self-supervised objectives on large text corpora ...

11 Alexander R. Fabbri, et al. ∙

research

∙ 07/24/2020

SummEval: Re-evaluating Summarization Evaluation

The scarcity of comprehensive up-to-date studies on evaluation metrics f...

0 Alexander R. Fabbri, et al. ∙

research

∙ 04/24/2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Question Answering (QA) is in increasing demand as the amount of informa...

0 Alexander R. Fabbri, et al. ∙

research

∙ 09/04/2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Scientific article summarization is challenging: large, annotated corpor...

0 Michihiro Yasunaga, et al. ∙

research

∙ 09/04/2019

ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Scientific article summarization is challenging: large, annotated corpor...

0 Michihiro Yasunaga, et al. ∙

research

∙ 06/26/2019

Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess

Machine learning plays an increasing role in intelligent tutoring system...

1 Youngnam Lee, et al. ∙

research

∙ 06/04/2019

Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Automatic generation of summaries from multiple news articles is a valua...

0 Alexander R. Fabbri, et al. ∙

research

∙ 11/26/2018

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning

Recent years have witnessed the rising popularity of Natural Language Pr...

0 Irene Li, et al. ∙

research

∙ 08/22/2018

Sarcasm Analysis using Conversation Context

Computational models for sarcasm detection have often relied on the cont...

0 Debanjan Ghosh, et al. ∙

research

∙ 05/11/2018

TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation

The field of Natural Language Processing (NLP) is growing rapidly, with ...

0 Alexander R. Fabbri, et al. ∙

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