Christophe Pallier


2020

pdf bib
Modeling conventionalization and predictability within MWEs at the brain level
Shohini Bhattasali | Murielle Fabre | Christophe Pallier | John Hale
Proceedings of the Society for Computation in Linguistics 2020

2019

pdf bib
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
Benoit Crabbé | Murielle Fabre | Christophe Pallier
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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. The paper studies the relevance of such methods for speeding up the computations of direct generative parsing for rnng. But it also studies the potential cognitive interpretation of the underlying representations built by the search method (beam activity) through analysis of neuro-imaging signal.

2018

pdf bib
Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain
Shohini Bhattasali | John Hale | Christophe Pallier | Jonathan Brennan | Wen-Ming Luh | R. Nathan Spreng
Proceedings of the Society for Computation in Linguistics (SCiL) 2018

2017

pdf bib
Entropy Reduction correlates with temporal lobe activity
Matthew Nelson | Stanislas Dehaene | Christophe Pallier | John Hale
Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)

Using the Entropy Reduction incremental complexity metric, we relate high gamma power signals from the brains of epileptic patients to incremental stages of syntactic analysis in English and French. We find that signals recorded intracranially from the anterior Inferior Temporal Sulcus (aITS) and the posterior Inferior Temporal Gyrus (pITG) correlate with word-by-word Entropy Reduction values derived from phrase structure grammars for those languages. In the anterior region, this correlation persists even in combination with surprisal co-predictors from PCFG and ngram models. The result confirms the idea that the brain’s temporal lobe houses a parsing function, one whose incremental processing difficulty profile reflects changes in grammatical uncertainty.

2009

pdf bib
Deriving lexical and syntactic expectation-based measures for psycholinguistic modeling via incremental top-down parsing
Brian Roark | Asaf Bachrach | Carlos Cardenas | Christophe Pallier
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing