Détection d’anomalies textuelles à base de l’ingénierie d’invite (Prompt Engineering-Based Text Anomaly Detection )

no code implementations • JEP/TALN/RECITAL 2022 • Yizhou Xu, Kata Gábor, Leila Khouas, Frédérique Segond

La détection d’anomalies textuelles est une tâche importante de la fouille de textes.

Anomaly Detection Prompt Engineering

Annotation of Messages from Social Media for Influencer Detection

no code implementations • LREC (LAW) 2022 • Kevin Deturck, Damien Nouvel, Namrata Patel, Frédérique Segond

To develop an influencer detection system, we designed an influence model based on the analysis of conversations in the “Change My View” debate forum.

ERTIM@MC2: Diversified Argumentative Tweets Retrieval

no code implementations • 17 Apr 2023 • Kévin Deturck, Parantapa Goswami, Damien Nouvel, Frédérique Segond

We measure argumentativity of a Tweet computing the amount of argumentation compounds it contains.

Retrieval Task 2

SMILK, linking natural language and data from the web

no code implementations • 20 Dec 2018 • Cédric Lopez, Molka Dhouib, Elena Cabrio, Catherine Faron Zucker, Fabien Gandon, Frédérique Segond

As part of the SMILK Joint Lab, we studied the use of Natural Language Processing to: (1) enrich knowledge bases and link data on the web, and conversely (2) use this linked data to contribute to the improvement of text analysis and the annotation of textual content, and to support knowledge extraction.

Information Retrieval Retrieval

CAp 2017 challenge: Twitter Named Entity Recognition

no code implementations • 24 Jul 2017 • Cédric Lopez, Ioannis Partalas, Georgios Balikas, Nadia Derbas, Amélie Martin, Coralie Reutenauer, Frédérique Segond, Massih-Reza Amini

We begin by demonstrating why NER for tweets is a challenging problem especially when the number of entities increases.

named-entity-recognition Named Entity Recognition +1