10 citations · 29 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
Communication-based Evaluation for Natural Language Generation
Benjamin Newman, Reuben Cohn-Gordon, Christopher Potts
Natural language generation (NLG) systems are commonly evaluated using n-gram overlap measures (e.g. BLEU, ROUGE). These measures do not directly capture semantics or speaker inten…
Lost in Machine Translation: A Method to Reduce Meaning Loss
Reuben Cohn-Gordon, Noah Goodman
A desideratum of high-quality translation systems is that they preserve meaning, in the sense that two sentences with different meanings should not translate to one and the same se…
An Incremental Iterated Response Model of Pragmatics
Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts
Recent Iterated Response (IR) models of pragmatics conceptualize language use as a recursive process in which agents reason about each other to increase communicative efficiency. T…
Pragmatically Informative Image Captioning with Character-Level Inference
Reuben Cohn-Gordon, Noah Goodman, Christopher Potts
We combine a neural image captioner with a Rational Speech Acts (RSA) model to make a system that is pragmatically informative: its objective is to produce captions that are not me…