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20182022
most citedA Survey of the State of Explainable AI for Natural Language Processing

206 citations · 240 across the 17 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews

Matan Orbach, Orith Toledo-Ronen, Artem Spector +3

Current TSA evaluation in a cross-domain setup is restricted to the small set of review domains available in existing datasets. Such an evaluation is limited, and may not reflect t…

cs.CL2020★ 4 cited

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

Ishan Jindal, Ranit Aharonov, Siddhartha Brahma +2

Deep neural models achieve some of the best results for semantic role labeling. Inspired by instance-based learning that utilizes nearest neighbors to handle low-frequency context-…

cs.CL2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains

Eyal Shnarch, Leshem Choshen, Guy Moshkowich +2

Approaching new data can be quite deterrent; you do not know how your categories of interest are realized in it, commonly, there is no labeled data at hand, and the performance of…

cs.CL2020★ 206 cited

A Survey of the State of Explainable AI for Natural Language Processing

Marina Danilevsky, Kun Qian, Ranit Aharonov +3

Recent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable. This survey presents an…

cs.CL2020

Out of the Echo Chamber: Detecting Countering Debate Speeches

Matan Orbach, Yonatan Bilu, Assaf Toledo +4

An educated and informed consumption of media content has become a challenge in modern times. With the shift from traditional news outlets to social media and similar venues, a maj…