activity
20162019
most citedSupervised Term Weighting Metrics for Sentiment Analysis in Short Text

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20193 cited

Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning

Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet

This paper presents a new semantic frame parsing model, based on Berkeley FrameNet, adapted to process spoken documents in order to perform information extraction from broadcast co…

cs.CL2019

Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005)

Marc El-Bèze, Juan-Manuel Torres-Moreno, Frédéric Béchet

We present a set of probabilistic models applied to binary classification as defined in the DEFT'05 challenge. The challenge consisted a mixture of two differents problems in Natur…

cs.CL20182 cited

Sources of Complexity in Semantic Frame Parsing for Information Extraction

Gabriel Marzinotto, Frédéric Béchet, Géraldine Damnati +1

This paper describes a Semantic Frame parsing System based on sequence labeling methods, precisely BiLSTM models with highway connections, for performing information extraction on…

cs.CL2018

FrameNet automatic analysis : a study on a French corpus of encyclopedic texts

Gabriel Marzinotto, Géraldine Damnati, Frederic Bechet

This article presents an automatic frame analysis system evaluated on a corpus of French encyclopedic history texts annotated according to the FrameNet formalism. The chosen approa…

cs.CL20163 cited

Supervised Term Weighting Metrics for Sentiment Analysis in Short Text

Hussam Hamdan, Patrice Bellot, Frederic Bechet

Term weighting metrics assign weights to terms in order to discriminate the important terms from the less crucial ones. Due to this characteristic, these metrics have attracted gro…