Search Results for author: Farah Benamara

Found 25 papers, 2 papers with code

Speech acts and Communicative Intentions for Urgency Detection

no code implementations *SEM (NAACL) 2022 Laurenti Enzo, Bourgon Nils, Farah Benamara, Mari Alda, Véronique Moriceau, Courgeon Camille

Recognizing speech acts (SA) is crucial for capturing meaning beyond what is said, making communicative intentions particularly relevant to identify urgent messages.


Give me your Intentions, I’ll Predict our Actions: A Two-level Classification of Speech Acts for Crisis Management in Social Media

no code implementations LREC 2022 Enzo Laurenti, Nils Bourgon, Farah Benamara, Alda Mari, Véronique Moriceau, Camille Courgeon

Discovered by (Austin, 1962) and extensively promoted by (Searle, 1975), speech acts (SA) have been the object of extensive discussion in the philosophical and the linguistic literature, as well as in computational linguistics where the detection of SA have shown to be an important step in many down stream NLP applications.


“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?

no code implementations Findings (EMNLP) 2021 Patricia Chiril, Farah Benamara, Véronique Moriceau

In this paper, we focus on the detection of sexist hate speech against women in tweets studying for the first time the impact of gender stereotype detection on sexism classification.

Classification Data Augmentation +1

Multilingual Irony Detection with Dependency Syntax and Neural Models

1 code implementation COLING 2020 Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso, Farah Benamara

This paper presents an in-depth investigation of the effectiveness of dependency-based syntactic features on the irony detection task in a multilingual perspective (English, Spanish, French and Italian).

Word Embeddings

He said ``who's gonna take care of your children when you are at ACL?'': Reported Sexist Acts are Not Sexist

no code implementations ACL 2020 Patricia Chiril, V{\'e}ronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi, Marl{\`e}ne Coulomb-Gully

In a context of offensive content mediation on social media now regulated by European laws, it is important not only to be able to automatically detect sexist content but also to identify if a message with a sexist content is really sexist or is a story of sexism experienced by a woman.

Word Embeddings

Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )

no code implementations JEPTALNRECITAL 2020 Hadjer Khaldi, Amine Abdaoui, Farah Benamara, Gr{\'e}goire Sigel, Nathalie Aussenac-Gilles

L{'}{\'e}valuation de ces mod{\`e}les montre des r{\'e}sultats tr{\`e}s encourageants, ce qui est un premier pas vers l{'}intelligence {\'e}conomique et concurrentielle {\`a} partir de textes pour le fran{\c{c}}ais.

Classification General Classification +1

An Annotated Corpus for Sexism Detection in French Tweets

no code implementations LREC 2020 Patricia Chiril, V{\'e}ronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi, Marl{\`e}ne Coulomb-Gully

Social media networks have become a space where users are free to relate their opinions and sentiments which may lead to a large spreading of hatred or abusive messages which have to be moderated.

An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis

no code implementations LREC 2020 Leila Moudjari, Karima Akli-Astouati, Farah Benamara

In this paper, we address the lack of resources for opinion and emotion analysis related to North African dialects, targeting Algerian dialect.

Emotion Recognition

Irony Detection in a Multilingual Context

1 code implementation6 Feb 2020 Bilal Ghanem, Jihen Karoui, Farah Benamara, Paolo Rosso, Véronique Moriceau

This paper proposes the first multilingual (French, English and Arabic) and multicultural (Indo-European languages vs. less culturally close languages) irony detection system.

Introduction to the Special Issue on Language in Social Media: Exploiting Discourse and Other Contextual Information

no code implementations CL 2018 Farah Benamara, Diana Inkpen, Maite Taboada

This special issue contributes to a deeper understanding of the role of these interactions to process social media data from a new perspective in discourse interpretation.

Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study

no code implementations EACL 2017 Jihen Karoui, Farah Benamara, V{\'e}ronique Moriceau, Viviana Patti, Cristina Bosco, Nathalie Aussenac-Gilles

This paper provides a linguistic and pragmatic analysis of the phenomenon of irony in order to represent how Twitter{'}s users exploit irony devices within their communication strategies for generating textual contents.

Sentiment Analysis

Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications

no code implementations CL 2017 Farah Benamara, Maite Taboada, Yannick Mathieu

We then argue that the standard computational definition of the concept of evaluative language neglects the dynamic nature of evaluation, in which the interpretation of a given evaluation depends on linguistic and extra-linguistic contextual factors.

Sentiment Analysis Sociology

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