24 citations · 48 across the 3 of their papers we have counts for
11 papers
Fool Me Twice: Entailment from Wikipedia Gamification
Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian +2
We release FoolMeTwice (FM2 for short), a large dataset of challenging entailment pairs collected through a fun multi-player game. Gamification encourages adversarial examples, dra…
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian +2
We introduce CLIMATE-FEVER, a new publicly available dataset for verification of climate change-related claims. By providing a dataset for the research community, we aim to facilit…
ClimaText: A Dataset for Climate Change Topic Detection
Francesco S. Varini, Jordan Boyd-Graber, Massimiliano Ciaramita +1
Climate change communication in the mass media and other textual sources may affect and shape public perception. Extracting climate change information from these sources is an impo…
Meta Answering for Machine Reading
Benjamin Borschinger, Jordan Boyd-Graber, Christian Buck +7
We investigate a framework for machine reading, inspired by real world information-seeking problems, where a meta question answering system interacts with a black box environment.…
What Question Answering can Learn from Trivia Nerds
Jordan Boyd-Graber, Benjamin Börschinger
In addition to the traditional task of getting machines to answer questions, a major research question in question answering is to create interesting, challenging questions that ca…
Automatic Evaluation of Local Topic Quality
Jeffrey Lund, Piper Armstrong, Wilson Fearn +4
Topic models are typically evaluated with respect to the global topic distributions that they generate, using metrics such as coherence, but without regard to local (token-level) t…