IRIT at the NTCIR-12 MobileClick-2 Task

Autor: Abdelhamid Chellal, Mohand Boughanem
Přispěvatelé: Recherche d’Information et Synthèse d’Information (IRIT-IRIS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), Institut National Polytechnique de Toulouse - INPT (FRANCE), Centre National de la Recherche Scientifique - CNRS (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies
12th Conference on Evaluation of Information Access Technologies (NTCIR 2016)
12th Conference on Evaluation of Information Access Technologies (NTCIR 2016), Jun 2016, Tokyo, Japan. pp. 143-146
HAL
Popis: International audience; This paper presents the participation of IRIT laboratory (University of Toulouse) to MobileClick-2 Task of NTCIR- 12. This task aims to provide immediate and direct information that can be accessed by users' mobiles. For a given query, summarization systems are expected to provide two-layered summary of relevant information units (iUnits). Two subtasks have been defined named as iUnit ranking and iUnit Summarization. In iUnit ranking subtask, we propose to rank iUnits according to their amount of information which are evaluated using Shannon's entropy. For iUnit summarization subtask, we propose two different strategies to build a summary. The first one is a top-down approach where the first layer is filled first, while the second strategy is bottom-up approach in which we start by filling the second layer. To estimate the similarity between words, we investigated the use of word2vec tool. For all these approaches, we discuss the obtained results during the experimental evaluation.
Databáze: OpenAIRE