Using AliQAn in Monolingual QA@CLEF 2008

Roger, Sandra; Vila, Katia; Ferrández, Antonio; Pardiño, María; Gómez, José Manuel; Puchol-Blasco, Marcel; Pearl, Jesús

doi:10.1007/978-3-642-04447-2_38

Cited by 5 publications

(4 citation statements)

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“…The comparison of the PR systems used in the TREC 8 competition [12] shows that the best PR systems are those that are based on density, with the methods of IBM [13] and SiteQ [14] being the most effective ones. The PR systems that participated in the CLEF competition can also be split into these two categories, even if most of them were based on term overlap [15,16,17,18] rather than density [19,20].…”

Section: Methodology Of the Employed Systemmentioning

confidence: 99%

“…The European Patent Office 15 (EPO) data set 16 is composed of patents written since 1978. The whole collection consists of approximately 1.6 million individual patents.…”

Section: The European Patent Office Data Setmentioning

confidence: 99%

“…15 http://www.epo.org/ 16 For more information about the EPO data set, refer to page: http://www.epo.org/patents/law/legal-texts.html…”

Section: The European Patent Office Data Setmentioning

confidence: 99%

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Passage retrieval in legal texts

Rosso

Correa

Buscaldi

2011

The Journal of Logic and Algebraic Programming

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Legal texts usually comprise many kinds of texts, such as contracts, patents and treaties. These texts usually include a huge quantity of unstructured information written in natural language. Thanks to automatic analysis and Information Retrieval (IR) techniques, it is possible to filter out information that is not relevant and, therefore, to reduce the amount of documents that users need to browse to find the information they are looking for. In this paper we adapted the JIRS passage retrieval system to work with three kinds of legal texts: treaties, patents and contracts, studying the issues related with the processing of this kind of information. In particular, we studied how a passage retrieval system might be linked up to automated analysis based on logic and algebraic programming for the detection of conflicts in contracts. In our setup, a contract is translated into formal clauses, which are analysed by means of a model checking tool; then, the passage retrieval system is used to extract conflicting sentences from the original contract text.

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Section: Methodology Of the Employed Systemmentioning

confidence: 99%

“…The European Patent Office 15 (EPO) data set 16 is composed of patents written since 1978. The whole collection consists of approximately 1.6 million individual patents.…”

Section: The European Patent Office Data Setmentioning

confidence: 99%

See 1 more Smart Citation

Passage retrieval in legal texts

Rosso

Correa

Buscaldi

2011

The Journal of Logic and Algebraic Programming

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show abstract

“…The QA system used for this experiment is called AliQAn, with which we have participated in several CLEF 2 competitions in both monolingual (Roger et al, 2009) and cross-lingual tasks . AliQAn consists of two phases: the indexation and the search phase.…”

Section: Description Of the Qa Systemmentioning

confidence: 99%