565 citations · 984 across the 75 of their papers we have counts for
6 papers · 1 filter
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch +1
Recent advancements in neural language modelling make it possible to rapidly generate vast amounts of human-sounding text. The capabilities of humans and automatic discriminators t…
Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors
Jeffrey Cheng, Chris Callison-Burch
State-of-the-art machine translation (MT) models do not use knowledge of any single language's structure; this is the equivalent of asking someone to translate from English to Germ…
Comparison of Diverse Decoding Methods from Conditional Language Models
Daphne Ippolito, Reno Kriz, Maria Kustikova +2
While conditional language models have greatly improved in their ability to output high-quality natural language, many NLP applications benefit from being able to generate a divers…
PerspectroScope: A Window to the World of Diverse Perspectives
Sihao Chen, Daniel Khashabi, Chris Callison-Burch +1
This work presents PerspectroScope, a web-based system which lets users query a discussion-worthy natural language claim, and extract and visualize various perspectives in support…
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Sihao Chen, Daniel Khashabi, Wenpeng Yin +2
One key consequence of the information revolution is a significant increase and a contamination of our information supply. The practice of fact checking won't suffice to eliminate…
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Reno Kriz, João Sedoc, Marianna Apidianaki +4
Sentence simplification is the task of rewriting texts so they are easier to understand. Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing la…