Genomic IR, characterized by its highly specific information need, severe synonym and polysemy problem, long term name and rapid growing literature size, is challenging IR community. In this paper, we are focused on addressing the synonym and polysemy issue within the language model framework. Unlike the ways translation model and traditional query expansion techniques approach this issue, we i...

in the present study, classification trees (cts-j48 algorithm) were used to study the occurrence of roach in rivers in flanders (belgium). the presence/absence of roach was modelled based on a set of river characteristics. the predictive performance of the cts models was assessed based on the percentage of correctly classified instances (cci) and cohen's kappa statistics. to find the best model...

An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector space retrieval models. However, when functional aspects of such models were tested, it was soon felt that better relevance models were required to more accurately compute the relevance of a document towards a query. It ...

Language models represent a successful framework for many Information Retrieval tasks: ad hoc retrieval, pseudo-relevance feedback or expert finding are some examples. We present how language models can compute effectively user or item neighbourhoods in a collaborative filtering scenario (this idea was originally proposed in [14]). The experiments support the applicability of this approach for ...

This paper presents a system for large vocabulary continuous speech recognition in condition of constrained hardware resources. We investigate efficient pruning and caching strategy aiming to handle extensive acoustic and linguistic modeling. Software components are analyzed in terms of resource consuming. Then, we evaluate the system performance in extreme configuration where acoustic and ling...

purpose: between 1379-1380 in the library and information science master in tehran and tarbiat modares universities, 81 theses has been defended that 78 theses has the literature review section. the purpose of this study is to review the extent of subject relevance between theses and their literature reviews. methodology: for fulfillment of the purpose, the titles of 78 theses and 1092 their li...

We report on two applications of Maximum Entropy-based ranking models to problems of relevance to automatic speech recognition and text-to-speech synthesis. The first is stress prediction in Russian, a language with notoriously complex morphology and stress rules. The second is the classification of alphabetic non-standard words, which may be read as words (NATO), as letter sequences USA, or as...

The Master said, " When I walk along with two others, they may serve me as my teachers. I will select their good qualities and follow them, their bad qualities and avoid them. " The Lunyu: BooK VII Shu'er Confucius, 551 BCE-479 BCE to my family for making it possible Summary Collaborative filtering is the common technique of predicting the interests of a user by collecting preference informatio...