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The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Words
In this article we present the design and implementation of the Logoscope, the first tool especially developed to detect new words of the French language, to document them and allow a public access through a web interface.
Towards an Inferential Lexicon of Event Selecting Predicates for French
The resource developed provides evidence for the following three hypotheses: (i) French implicative verbs have an aspect dependent profile (their inferential profile varies with outer aspect), while factive verbs have an aspect independent profile (they keep the same inferential profile with both imperfective and perfective aspect); (ii) implicativity decreases with imperfective aspect: the inferences triggered by French implicative verbs combined with perfective aspect are often weakened when the same verbs are combined with imperfective aspect; (iii) implicativity decreases with an animate (deep) subject: the inferences triggered by a verb which is implicative with an inanimate subject are weakened when the same verb is used with an animate subject.
Towards a lexicon of event-selecting predicates for a French FactBank
This paper presents ongoing work for the construction of a French FactBank and a lexicon of French event-selecting predicates (ESPs), by applying the factuality detection algorithm introduced in (Saur{\'\i} and Pustejovsky, 2012).
LVF-lemon ― Towards a Linked Data Representation of ``Les Verbes fran\ccais''
In this study we elaborate a road map for the conversion of a traditional lexical syntactico-semantic resource for French into a linguistic linked open data (LLOD) model.
Aspectual Flexibility Increases with Agentivity and ConcretenessA Computational Classification Experiment on Polysemous Verbs
We present an experimental study making use of a machine learning approach to identify the factors that affect the aspectual value that characterizes verbs under each of their readings.
From Non Word to New Word: Automatically Identifying Neologisms in French Newspapers
In this paper we present a statistical machine learning approach to formal neologism detection going some way beyond the use of exclusion lists.
Representation of linguistic and domain knowledge for second language learning in virtual worlds
There has been much debate, both theoretical and practical, on how to link ontologies and lexicons in natural language processing (NLP) applications.
