no code implementations • ACL 2020 • Su Lin Blodgett, Solon Barocas, Hal Daum{\'e} III, Hanna Wallach
We survey 146 papers analyzing {``}bias{''} in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing {``}bias{''} is an inherently normative process.
no code implementations • IJCNLP 2019 • Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligori{\'c}, Sean Kross, Michelle Mazurek, Hal Daum{\'e} III
The readability of a digital text can influence people{'}s ability to learn new things about a range topics from digital resources (e. g., Wikipedia, WebMD).
no code implementations • WS 2019 • Yang Trista Cao, Sudha Rao, Hal Daum{\'e} III
Unlike comprehension-style questions, clarification questions look for some missing information in a given context.
no code implementations • WS 2018 • Han-Chin Shing, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daum{\'e} III, Philip Resnik
We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit.
no code implementations • WS 2017 • Amr Sharaf, Hal Daum{\'e} III
We present an algorithm for structured prediction under online bandit feedback.
no code implementations • WS 2017 • Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daum{\'e} III
We propose a novel, Abstract Meaning Representation (AMR) based approach to identifying molecular events/interactions in biomedical text.
no code implementations • TACL 2013 • Ann Irvine, John Morgan, Marine Carpuat, Hal Daum{\'e} III, Dragos Munteanu
We develop two techniques for analyzing the effect of porting a machine translation system to a new domain.