32 citations · 86 across the 18 of their papers we have counts for
6 papers · 1 filter
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts, Zhengxuan Wu, Atticus Geiger +1
We introduce DynaSent ('Dynamic Sentiment'), a new English-language benchmark task for ternary (positive/negative/neutral) sentiment analysis. DynaSent combines naturally occurring…
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents
Graham Todd, Shane Steinert-Threlkeld, Christopher Potts
Agent-based models and signalling games are useful tools with which to study the emergence of linguistic communication in a tractable setting. These techniques have been used to st…
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives
Elisa Kreiss, Zijian Wang, Christopher Potts
Crime reporting is a prevalent form of journalism with the power to shape public perceptions and social policies. How does the language of these reports act on readers? We seek to…
Data and Representation for Turkish Natural Language Inference
Emrah Budur, Rıza Özçelik, Tunga Güngör +1
Large annotated datasets in NLP are overwhelmingly in English. This is an obstacle to progress in other languages. Unfortunately, obtaining new annotated resources for each task in…
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation
Atticus Geiger, Kyle Richardson, Christopher Potts
We address whether neural models for Natural Language Inference (NLI) can learn the compositional interactions between lexical entailment and negation, using four methods: the beha…
Pragmatic Issue-Sensitive Image Captioning
Allen Nie, Reuben Cohn-Gordon, Christopher Potts
Image captioning systems have recently improved dramatically, but they still tend to produce captions that are insensitive to the communicative goals that captions should meet. To…