Download Advances in Information Retrieval: 32nd European Conference by Cathal Gurrin PDF

By Cathal Gurrin

These lawsuits comprise the papers provided at ECIR 2010, the thirty second ecu- pean convention on info Retrieval. The convention used to be organizedby the information Media Institute (KMi), the Open college, in co-operation with Dublin urban college and the collage of Essex, and was once supported by way of the data Retrieval expert workforce of the British laptop Society (BCS- IRSG) and the certain curiosity workforce on info Retrieval (ACM SIGIR). It was once held in the course of March 28-31, 2010 in Milton Keynes, united kingdom. ECIR 2010 got a complete of 202 full-paper submissions from Continental Europe (40%), united kingdom (14%), North and South the US (15%), Asia and Australia (28%), heart East and Africa (3%). All submitted papers have been reviewed by means of at leastthreemembersoftheinternationalProgramCommittee.Outofthe202- pers forty four have been chosen asfull researchpapers. ECIR has alwaysbeen a convention with a powerful pupil concentration. to permit as a lot interplay among delegates as attainable and to maintain within the spirit of the convention we made up our minds to run ECIR 2010 as a single-track occasion. for this reason we determined to have presentation codecs for complete papers. a few of them have been offered orally, the others in poster structure. The presentation structure doesn't signify any di?erence in caliber. as a substitute, the presentation layout was once made up our minds after the whole papers have been approved on the software Committee assembly held on the collage of Essex. The perspectives of the reviewers have been then considered to pick the main applicable presentation structure for every paper.

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Additional info for Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings

Example text

Intuitively, each time interval that the user may have had in mind when uttering Q is assumed equally likely. Recall that |Q| denotes the huge but finite total number of such time intervals. The probability of generating the time interval [qb , qe ] from a temporal expression T is defined as P ( [qb , qe ] | T ) = 1 ½( [qb , qe] ∈ T ) |T | (7) where ½( [qb , qe ] ∈ T ) is an indicator function whose value is 1 iff [qb , qe ] ∈ T . For T we thus also assume all time intervals that it can refer to as equally likely.

Like other language modeling approaches, our model is prone to the zero-probability problem – if one of the query temporal expressions has zero probability of being generated from the document, the probability of generating the query from this document is zero. To mitigate this problem, we employ Jelinek-Mercer smoothing, and estimate the probability of generating the query temporal expression Q from document d as P ( Q|d time ) = (1−λ)· 1 |D time | P ( Q|T )+λ· T ∈D time 1 |d time | P ( Q|T ) (4) T ∈d time where λ ∈ [0, 1] is a tunable mixing parameter, and D time refers to the temporal part of the document collection treated as a single document.

In Section 2, we introduce our model and notation. Section 3 describes how temporal expressions can be integrated into a language modeling approach. Conducted experiments and their results are described in Section 4. Section 5 puts our work in context with existing related research. Finally, we conclude in Section 6. , the UNIX epoch). These time units will be referred to as chronons in the remainder. We model a temporal expression T as a quadruple T = ( tbl , tbu , tel , teu ) . In our representation tbl and tbu are respectively a lower bound and upper bound for the begin boundary of the time interval – marking the time interval’s earliest and latest possible begin time.

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