Search Results for author:
Found 5 papers, 1 papers with code
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.
“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.
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.
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.
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.
