Ingrid Falk


2017

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Towards a lexicon of event-selecting predicates for a French FactBank
Ingrid Falk | Fabienne Martin
Proceedings of the Workshop Computational Semantics Beyond Events and Roles

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 (Saurí and Pustejovsky, 2012). This algorithm relies on a lexicon of ESPs, specifying how these predicates influence the polarity of their embedded events. For this pilot study, we focused on French factive and implicative verbs, and capitalised on a lexical resource for the English counterparts of these verbs provided by the CLSI Group (Nairn et al., 2006; Karttunen, 2012).

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Towards an Inferential Lexicon of Event Selecting Predicates for French
Ingrid Falk | Fabienne Martin
IWCS 2017 - 12th International Conference on Computational Semantics - Long papers

2016

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Aspectual Flexibility Increases with Agentivity and ConcretenessA Computational Classification Experiment on Polysemous Verbs
Ingrid Falk | Fabienne Martin
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

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. The study is based on various morpho-syntactic and semantic features collected from a French lexical resource and on a gold standard aspectual classification of verb readings designed by an expert. Our results support the tested hypothesis, namely that agentivity and abstractness influence lexical aspect.

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LVF-lemon ― Towards a Linked Data Representation of “Les Verbes français”
Ingrid Falk | Achim Stein
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

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. Our approach uses current best-practices and the analyses of earlier similar undertakings (lemonUBY and PDEV-lemon) to tease out the most appropriate representation for our resource.

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Automatic Identification of Aspectual Classes across Verbal Readings
Ingrid Falk | Fabienne Martin
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics

2014

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Part of Speech Tagging for New Words (Étiquetage morpho-syntaxique pour des mots nouveaux) [in French]
Ingrid Falk | Delphine Bernhard | Christophe Gérard | Romain Potier-Ferry
Proceedings of TALN 2014 (Volume 2: Short Papers)

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From the Culinary to the Political Meaning of “quenelle” : Using Topic Models For Identifying Novel Senses (De la quenelle culinaire à la quenelle politique : identification de changements sémantiques à l’aide des Topic Models) [in French]
Ingrid Falk | Delphine Bernhard | Christophe Gérard
Proceedings of TALN 2014 (Volume 2: Short Papers)

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From Non Word to New Word: Automatically Identifying Neologisms in French Newspapers
Ingrid Falk | Delphine Bernhard | Christophe Gérard
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper we present a statistical machine learning approach to formal neologism detection going some way beyond the use of exclusion lists. We explore the impact of three groups of features: form related, morpho-lexical and thematic features. The latter type of features has not yet been used in this kind of application and represents a way to access the semantic context of new words. The results suggest that form related features are helpful at the overall classification task, while morpho-lexical and thematic features better single out true neologisms.

2012

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Classifying French Verbs Using French and English Lexical Resources
Ingrid Falk | Claire Gardent | Jean-Charles Lamirel
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Representation of linguistic and domain knowledge for second language learning in virtual worlds
Alexandre Denis | Ingrid Falk | Claire Gardent | Laura Perez-Beltrachini
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

There has been much debate, both theoretical and practical, on how to link ontologies and lexicons in natural language processing (NLP) applications. In this paper, we focus on an application in which lexicon and ontology are used to generate teaching material. We briefly describe the application (a serious game for language learning). We then zoom in on the representation and interlinking of the lexicon and of the ontology. We show how the use of existing standards and of good practice principles facilitates the design of our resources while satisfying the expressivity requirements set by natural language generation.

2009

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Grouping Synonyms by Definitions
Ingrid Falk | Claire Gardent | Evelyne Jacquey | Fabienne Venant
Proceedings of the International Conference RANLP-2009