no code implementations • IJCNLP 2019 • Benoit Crabb{\'e}, Murielle Fabre, Christophe Pallier
This paper describes a method of variable beam size inference for Recurrent Neural Network Grammar (rnng) by drawing inspiration from sequential Monte-Carlo methods such as particle filtering.
no code implementations • COLING 2018 • Shohini Bhattasali, Murielle Fabre, John Hale
Multiword expressions have posed a challenge in the past for computational linguistics since they comprise a heterogeneous family of word clusters and are difficult to detect in natural language data.
no code implementations • WS 2018 • Jixing Li, Murielle Fabre, Wen-Ming Luh, John Hale
The current study examined the role of syntactic structure during pronoun resolution.
no code implementations • WS 2018 • Jixing Li, Murielle Fabre, Wen-Ming Luh, John Hale
Typological differences between English and Chinese suggest stronger reliance on salience of the antecedent during pronoun resolution in Chinese.