Semantics of Calendar Adverbials for Information Retrieval

Battistelli, Delphine; Cori, Marcel; Minel, Jean-Luc; Teissèdre, Charles

doi:10.1007/978-3-642-21916-0_66

Cited by 1 publication

(3 citation statements)

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“…In this section we describe a method, improved and augmented from [5], to transform the Functional Representation of CEs into its referential counterpart, also named Calendar Intervals (CI). This step is useful to perform similarity comparisons between several CEs.…”

Section: Referential Representationmentioning

confidence: 99%

“…This Retrieval model is integrated in a Lucene 5 based Search Engine with a standard Keyword Analyzer, for French and English documents. The system can handle queries…”

Section: Ordering the Answersmentioning

confidence: 99%

“…As presented in Section 2, this first step delivers a linguistic analysis of these expressions, named Functional Representation (see section 2.1). Based on the formal transduction processing described in [5], the second step transforms this Functional Representation into what we name a Referential Representation, or Calendar Intervals (see sections 2.2 and 2.3). The retrieval algorithm used during the search process is described in section 3.…”

Section: Introductionmentioning

confidence: 99%

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Information Retrieval: Ranking Results According to Calendar Criteria

Battistelli¹,

Cori

Minel

et al. 2012

Communications in Computer and Information Science

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Abstract. Our work deals with calendar information as it is expressed in natural language (NL), that is to say through textual units such as prepositional phrases or noun phrases (e.g. in the 90s, at the beginning of the XVth century). We call these textual units Calendar Expressions (CE). Our work aims at showing how Information Retrieval systems can benefit from dealing with CE. In this paper we describe our overall approach which consists in a formal analysis of CEs that leads to a semantic representation. We then detail an algorithm that uses this representation to filter and rank CEs embedded in texts, according to a query containing a CE. The algorithm is integrated in an experimental search engine (called CaSE). Our representation of calendar information as it is expressed in NL and the function which computes the proximity between the two CEs, one in the text and the other in the query, provides a mean to process a query without any overlapping.

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Section: Referential Representationmentioning

confidence: 99%

“…This Retrieval model is integrated in a Lucene 5 based Search Engine with a standard Keyword Analyzer, for French and English documents. The system can handle queries…”

Section: Ordering the Answersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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