activity
20132024
most citedA Deep Reinforced Model for Abstractive Summarization

1.3k citations · 12.3k across the 104 of their papers we have counts for

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Showing 2019 · cs.CLShow all

19 papers · 2 filters

cs.CL2019★ 146 cited

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi +2

Answering questions that require multi-hop reasoning at web-scale necessitates retrieving multiple evidence documents, one of which often has little lexical or semantic relationshi…

cs.CL2019★ 19 cited

MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models

Linqing Liu, Huan Wang, Jimmy Lin +2

Pretrained language models have led to significant performance gains in many NLP tasks. However, the intensive computing resources to train such models remain an issue. Knowledge d…

cs.CL2019

ERASER: A Benchmark to Evaluate Rationalized NLP Models

Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani +4

State-of-the-art models in NLP are now predominantly based on deep neural networks that are opaque in terms of how they come to make predictions. This limitation has increased inte…

cs.CL2019

Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework

Michael Shum, Stephan Zheng, Wojciech Kryściński +2

Human-like chit-chat conversation requires agents to generate responses that are fluent, engaging and consistent. We propose Sketch-Fill-A-R, a framework that uses a persona-memory…

cs.CL2019

Evaluating the Factual Consistency of Abstractive Text Summarization

Wojciech Kryściński, Bryan McCann, Caiming Xiong +1

Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents. We propose a weakly-supervised, m…

cs.CL2019★ 13 cited

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu +4

Dialog state tracking (DST) is a core component in task-oriented dialog systems. Existing approaches for DST mainly fall into one of two categories, namely, ontology-based and onto…