7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 7 cited
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities
Suhas Arehalli, Brian Dillon, Tal Linzen
Humans exhibit garden path effects: When reading sentences that are temporarily structurally ambiguous, they slow down when the structure is disambiguated in favor of the less pref…
cs.CL2019★ 2 cited
Human acceptability judgements for extractive sentence compression
Abram Handler, Brian Dillon, Brendan O'Connor
Recent approaches to English-language sentence compression rely on parallel corpora consisting of sentence-compression pairs. However, a sentence may be shortened in many different…
cs.CL2018
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation
Johnny Tian-Zheng Wei, Khiem Pham, Brian Dillon +1
Sequence to sequence (seq2seq) models are often employed in settings where the target output is natural language. However, the syntactic properties of the language generated from t…