Search Results for author: Joe Barrow

Found 7 papers, 1 papers with code

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

1 code implementation ACL 2021 Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan Boyd-Graber

While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models).

Syntopical Graphs for Computational Argumentation Tasks

no code implementations ACL 2021 Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, Henning Wachsmuth

Approaches to computational argumentation tasks such as stance detection and aspect detection have largely focused on the text of independent claims, losing out on potentially valuable context provided by the rest of the collection.

Stance Detection

It Takes Two to Lie: One to Lie, and One to Listen

no code implementations ACL 2020 Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan Boyd-Graber

Trust is implicit in many online text conversations{---}striking up new friendships, or asking for tech support.

MATERIALizing Cross-Language Information Retrieval: A Snapshot

no code implementations LREC 2020 Petra Galuscakova, Douglas Oard, Joe Barrow, Suraj Nair, Shing Han-Chin, Elena Zotkina, Esk, Ramy er, Rui Zhang

At about the midpoint of the IARPA MATERIAL program in October 2019, an evaluation was conducted on systems{'} abilities to find Lithuanian documents based on English queries.

Information Retrieval

Mitigating Noisy Inputs for Question Answering

no code implementations8 Aug 2019 Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan Boyd-Graber

We investigate and mitigate the effects of noise from Automatic Speech Recognition systems on two factoid Question Answering (QA) tasks.

Automatic Speech Recognition Machine Translation +4

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