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of 115
pro vyhledávání: '"Sanjuan, Eric"'
Standard informativeness measures used to evaluate Automatic Text Summarization mostly rely on n-gram overlapping between the automatic summary and the reference summaries. These measures differ from the metric they use (cosine, ROUGE, Kullback-Leibl
Externí odkaz:
http://arxiv.org/abs/2004.06747
Autor:
González-Gallardo, Carlos-Emiliano, Deveaud, Romain, SanJuan, Eric, Torres-Moreno, Juan-Manuel
The automatic summarization of multimedia sources is an important task that facilitates the understanding of an individual by condensing the source while maintaining relevant information. In this paper we focus on audio summarization based on audio f
Externí odkaz:
http://arxiv.org/abs/2001.07098
Publikováno v:
International Journal of Computational Linguistics and Applications vol. 7, no. 1, 2016, pp. 67-83
The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business. Nevertheless keeping up-to-date with this amount of information is not humanly feasibl
Externí odkaz:
http://arxiv.org/abs/2001.11382
\'Etude de l'informativit\'e des transcriptions : une approche bas\'ee sur le r\'esum\'e automatique
In this paper we propose a new approach to evaluate the informativeness of transcriptions coming from Automatic Speech Recognition systems. This approach, based in the notion of informativeness, is focused on the framework of Automatic Text Summariza
Externí odkaz:
http://arxiv.org/abs/1809.00994
Publikováno v:
Proceedings of the First Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine 2016), 38th European Conference on Information Retrieval (ECIR 2016)
At present, automatic discourse analysis is a relevant research topic in the field of NLP. However, discourse is one of the phenomena most difficult to process. Although discourse parsers have been already developed for several languages, this tool d
Externí odkaz:
http://arxiv.org/abs/1703.04718
Autor:
Molina, Alejandro, Torres-Moreno, Juan-Manuel, da Cunha, Iria, SanJuan, Eric, Sierra, Gerardo
Previous works demonstrated that Automatic Text Summarization (ATS) by sentences extraction may be improved using sentence compression. In this work we present a sentence compressions approach guided by level-sentence discourse segmentation and proba
Externí odkaz:
http://arxiv.org/abs/1212.3493
Autor:
Ibekwe-Sanjuan, Fidelia, Sanjuan, Eric
Publikováno v:
Advances in Knowledge Organization 12 (2010) 115-121
We apply an automatic topic mapping system to records of publications in knowledge organization published between 1988-2008. The data was collected from journals publishing articles in the KO field from Web of Science database (WoS). The results show
Externí odkaz:
http://arxiv.org/abs/1110.5419
This paper has been withdrawn by the author.
Comment: This paper has been withdrawn
Comment: This paper has been withdrawn
Externí odkaz:
http://arxiv.org/abs/1004.3183
Autor:
Ibekwe-SanJuan, Fidelia, SanJuan, Eric
Publikováno v:
Ibekwe-SanJuan, Fidelia and SanJuan, Eric Mining textual data through term variant clustering : the TermWatch system., 2004 . In RIAO 2004 Coupling approaches, coupling media and coupling languages for information retrieval, Avignon (France), 26-28 April 2004. [Conference paper]
We present a system for mapping the structure of research topics in a corpus. TermWatch portrays the "aboutness" of a corpus of scientific and technical publications by bridging the gap between pure statistical approaches and symbolic techniques. In
Externí odkaz:
http://eprints.rclis.org/6642/
Publikováno v:
In Information Processing and Management September 2016 52(5):801-819
