نتایج جستجو برای: relevance based language models
تعداد نتایج: 3883993 فیلتر نتایج به سال:
This paper presents a novel surveillance video indexing and retrieval system based on object features similarity measurement. The system firstly extracts moving objects from the videos by an efficient motion segmentation method. The fundamental features of each moving object are then extracted and indexed into the database. During retrieval, the system matches the query with the features indexe...
This paper investigates the limitations of traditional Information Retrieval (IR) models and how the semantic based approaches overcomes these limitations. Further the paper analyzes a range of aspects of language network representation of text corpus and how different network properties can lead to improve the results for different applications of IR. The paper analyzes Hindi Wordnet to exploi...
Language is primarily constituted by action and interaction based on sensorimotor information. This paper demonstrates the nature of subjectivity and intersubjectivity through the neural mechanism and typological evidence of sentence-final particles from East Asian languages and extends to the discussion of the relationship between them. I propose that intersubjecivity is a kind of embedded or ...
This paper reports on a pragmatic query language for Racer. The abstract syntax and semantics of this query language is defined. Next, the practical relevance of this query language is shown, applying the query answering algorithms to the problem of consistency maintenance between object-oriented design models.
Introduction: The most important models used in analysis of survival data is proportional hazards models. Applying this model requires establishment of the relevance proportional hazards assumption, otherwise it world lead to incorrect inference. This study aims to evaluate Cox and Weibull models which are used in identification of effective factors on survival time in acute leukemia. Me...
With the increasing focus of speech recognition and natural language processing applications on domains with limited amount of in-domain training data, enhanced system performance often relies on approaches involving model adaptation and combination. In such domains, language models are often constructed by interpolating component models trained from partially matched corpora. Instead of simple...
multi-part words in english language are hyphenated and hyphen is used to separate different parts. persian language consists of multi-part words as well. based on persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. this common incorrectly use of space leads to some s...
Information Retrieval (IR) models need to deal with two difficult issues, vocabulary mismatch and term dependencies. Vocabulary mismatch corresponds to the difficulty of retrieving relevant documents that do not contain exact query terms but semantically related terms. Term dependencies refers to the need of considering the relationship between the words of the query when estimating the relevan...
There have been several attempts recently to reconcile, or at least to understand the relationship between, traditional probabilistic models of information retrieval and the newer language models. Since both treat the retrieval problem probabilistically, it might be expected that they can be formulated in comparable terms. However, this has proved diÆcult. One question concerns the role of rele...
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