Abstract Information extraction (IE) is the task of automatically extracting structured
information from unstructured/semi-structured machine-readable documents. Among various …

Clustering web sessions is to group web sessions based on similarity and consists of
minimizing the intra-group similarity and maximizing the inter-group similarity. The other …

Background Graph-based notions are increasingly used in biomedical data mining and
knowledge discovery tasks. In this paper, we present a clique-clustering method to …

We propose a method for improving classification performance in a one-class setting by
combining classifiers of different modalities. We apply the method to the problem of …

Abstract The Word-in-Context corpus, which forms part of the SuperGLUE benchmark
dataset, focuses on a specific sense disambiguation task: it has to be decided whether two …

The Ho tribe is an indigenous community that primarily inhabits the Indian states of Odisha,
Jharkhand, West Bengal, Assam, and Chhattisgarh. The Ho language, which belongs to the …

This paper is an extended version of [1], describing our participation to the Metonymy
Resolution (task# 8) at SemEval 2007. In order to perform named entity metonymy resolution …

The present paper introduces an ongoing research which aims to detect interpretable
adjectival senses from monolingual corpora applying an unsupervised WSI approach …

Ce premier Chapitre expose mes contributions en fusion d'informations hétérogenes. Je me
suis investi dans ce sujet de recherche au cours de mon postdoctorat de trois années au …

We address the problem of categorizing a large set of linked documents with important
content and structure aspects, in particular, from the Wikipedia collection proposed at the …