2013/02/18 by Djallel Bouneffouf, Bouneffouf, Djallel
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Natural Language Processing Techniques #Semantic Web and Ontologies #cs.CL
paper · pdf · doi:10.48550/arxiv.1302.5645
2008 thesis, in French
arxiv created 2013/02/18 · openalex publication_date 2013/02/18 · arxiv updated 2013/02/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This project is a part of nature language processing and its aims to develop a system of recognition inference text-appointed TIMINF. This type of system can detect, given two portions of text, if a text is semantically deducted from the other. We focused on making the inference time in this type of system. For that we have built and analyzed a body built from questions collected through the web. This study has enabled us to classify different types of times inferences and for designing the architecture of TIMINF which seeks to integrate a module inference time in a detection system inference text. We also assess the performance of sorties TIMINF system on a test corpus with the same strategy adopted in the challenge RTE.