Search Results for author:
Found 22 papers, 2 papers with code
Intérêt des modèles de caractères pour la détection d’événements (The interest of character-level models for event detection)
Cet article aborde la tâche de détection d’événements, visant à identifier et catégoriser les mentions d’événements dans les textes.
Multimodal Entity Linking for Tweets
In many information extraction applications, entity linking (EL) has emerged as a crucial task that allows leveraging information about named entities from a knowledge base.
Building a Multimodal Entity Linking Dataset From Tweets
The method collects text and images to jointly build a corpus of tweets with ambiguous mentions along with a Twitter KB defining the entities.
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering
We find open domain question answering model to be a better fit for this task rather than reading comprehension model.
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.
BIOASQ Task B Phase B challenge focuses on extracting answers from snippets for a given question.
Generating a Training Corpus for OCR Post-Correction Using Encoder-Decoder Model
In this paper we present a novel approach to the automatic correction of OCR-induced orthographic errors in a given text.
Apprendre des repr\'esentations jointes de mots et d'entit\'es pour la d\'esambigu\"\isation d'entit\'es (Combining Word and Entity Embeddings for Entity Linking)
La d{\'e}sambigu{\"\i}sation d{'}entit{\'e}s (ou liaison d{'}entit{\'e}s), qui consiste {\`a} relier des mentions d{'}entit{\'e}s d{'}un texte {\`a} des entit{\'e}s d{'}une base de connaissance, est un probl{\`e}me qui se pose, entre autre, pour le peuplement automatique de bases de connaissances {\`a} partir de textes.
AppFM, une plate-forme de gestion de modules de TAL (AppFM, a tool for managing NLP modules)
AppFM 1 est un outil {\`a} mi-chemin entre un environnement de cr{\'e}ation de cha{\^\i}nes modulaires de TAL et un gestionnaire de services syst{\`e}mes.
Noyaux de r\'e\'ecriture de phrases munis de types lexico-s\'emantiques
De nombreux probl{\`e}mes en traitement automatique des langues requi{\`e}rent de d{\'e}terminer si deux phrases sont des r{\'e}{\'e}critures l{'}une de l{'}autre.
Estimation de l'homog\'en\'eit\'e s\'emantique pour les Questionnaires \`a Choix Multiples
Cette m{\'e}thode est fond{\'e}e sur une combinaison de plusieurs crit{\`e}res de voisinage et de similarit{\'e} s{\'e}mantique entre termes, par apprentissage automatique.
Multiple Choice Question Corpus Analysis for Distractor Characterization
In this paper, we present a study of MCQ aiming to define criteria in order to automatically select distractors.
A hierarchical taxonomy for classifying hardness of inference tasks
In this paper we propose a hierarchical taxonomy for inferences, relatively to their hardness, and with corpus annotation and system design and evaluation in mind.
Evaluation of Unsupervised Information Extraction
Unsupervised methods gain more and more attention nowadays in information extraction area, which allows to design more open extraction systems.
