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20182026
most citedNews Summarization and Evaluation in the Era of GPT-3

182 citations · 233 across the 36 of their papers we have counts for

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Showing 2022 · cs.CLShow all

7 papers · 2 filters

cs.CL2022

Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion

Wei-Jen Ko, Yating Wu, Cutter Dalton +3

Automatic discourse processing is bottlenecked by data: current discourse formalisms pose highly demanding annotation tasks involving large taxonomies of discourse relations, makin…

cs.CL2022

Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus

Zachary W. Taylor, Maximus H. Chu, Junyi Jessy Li

Access to higher education is critical for minority populations and emergent bilingual students. However, the language used by higher education institutions to communicate with pro…

cs.CL2022★ 182 cited

News Summarization and Evaluation in the Era of GPT-3

Tanya Goyal, Junyi Jessy Li, Greg Durrett

The recent success of prompting large language models like GPT-3 has led to a paradigm shift in NLP research. In this paper, we study its impact on text summarization, focusing on…

cs.CL2022

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

Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan +9

Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability. Here, we describe the approach of the tea…

cs.CL2022

SNaC: Coherence Error Detection for Narrative Summarization

Tanya Goyal, Junyi Jessy Li, Greg Durrett

Progress in summarizing long texts is inhibited by the lack of appropriate evaluation frameworks. When a long summary must be produced to appropriately cover the facets of that tex…

cs.CL2022★ 2 cited

Evaluating Factuality in Text Simplification

Ashwin Devaraj, William Sheffield, Byron C. Wallace +1

Automated simplification models aim to make input texts more readable. Such methods have the potential to make complex information accessible to a wider audience, e.g., providing a…

cs.CL2022

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

Fangyuan Xu, Junyi Jessy Li, Eunsol Choi

Long-form answers, consisting of multiple sentences, can provide nuanced and comprehensive answers to a broader set of questions. To better understand this complex and understudied…