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Found 26 papers, 2 papers with code
Speech acts and Communicative Intentions for Urgency Detection
Recognizing speech acts (SA) is crucial for capturing meaning beyond what is said, making communicative intentions particularly relevant to identify urgent messages.
“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?
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.
Automatic Detection of Stigmatizing Uses of Psychiatric Terms on Twitter
In this paper, we focus for the first time on the use of psychiatric terms in tweetsin French.
Give me your Intentions, I’ll Predict our Actions: A Two-level Classification of Speech Acts for Crisis Management in Social Media
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.
How’s Business Going Worldwide ? A Multilingual Annotated Corpus for Business Relation Extraction
The business world has changed due to the 21st century economy, where borders have melted and trades became free.
Research Trends for the Interplay between Large Language Models and Knowledge Graphs
This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing.
Multilingual Irony Detection with Dependency Syntax and Neural Models
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).
He said ``who's gonna take care of your children when you are at ACL?'': Reported Sexist Acts are Not Sexist
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.
Classification de relations pour l'intelligence \'economique et concurrentielle (Relation Classification for Competitive and Economic Intelligence )
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.
An Annotated Corpus for Sexism Detection in French Tweets
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
In this paper, we address the lack of resources for opinion and emotion analysis related to North African dialects, targeting Algerian dialect.
Irony Detection in a Multilingual Context
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
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.
Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications
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.
Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study
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.
Developing a French FrameNet: Methodology and First results
The Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis.
Clause-based Discourse Segmentation of Arabic Texts
This paper describes a rule-based approach to segment Arabic texts into clauses.
An empirical resource for discovering cognitive principles of discourse organisation: the ANNODIS corpus
This paper describes the ANNODIS resource, a discourse-level annotated corpus for French.
