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Information Technology brought many applications of Information Retrieval as simple as possible through Web and other Digital Information Access Environment. There is a demand in building Applications of IR in Local languages, which allows common people with minimal knowledge in at least one language to avail the information services. Word mismatch is a common problem in IR System Applications. The...
The literature reports that source code lexicon plays a paramount role in program comprehension, especially when software documentation is scarce, outdated or simply not available. In source code, a significant proportion of vocabulary can be either acronyms and-or abbreviations or concatenation of terms that can not be identified using consistent mechanisms such as naming conventions. It is, therefore,...
The wide adoption of Web 2.0 services has resulted in an increase in the amount of information produced. The quantity of errors contained in such information has grown even faster. Indeed, in traditional information production process documents were produced by professionals while in the Web context the content is generated by the users themselves. It is therefore necessary to take into account the...
This paper analyzes the basic modes of Cross-Language Information Retrieval (CLIR) and the critical technologies of translation disambiguation. It optimizes translation outcome by eliminating translation ambiguity. The methods are based on co-occurrences between pairs of terms as well as computing weights of terms. On this basis, we established a CLIR system for book searching. The experimental results...
In this paper we present a business intelligence process to dynamically develop multidimensional OLAP schemas to support information retrieval in an ontology-based environment. The particular aspect of our work consists in the integration of information retrieval techniques, such as the semantic indexing of non-structured documents with some dynamic management techniques of unbalanced hierarchies...
Word Sense Disambiguation (WSD) is the task of selecting the meaning of a word based on the context in which the word occurs. The principal statistical WSD approaches are supervised and unsupervised learning. The Lesk method is an example of unsupervised disambiguation. We present a measure for sense assignment useful for the simple Lesk algorithm. We use word co-occurrences of the gloss and the context,...
Sentence similarity computing plays an important role in the nature language processing. Many different methods are proposed to calculate sentence similarity including word, semantic, syntax and so on. In this paper, we proposed a sentence similarity method for travel question answering system by combining the word context information and semantic similarity together. We searched a series of context...
Online support centers are emerging as a cost-effective and innovative solution designed to enable end-users to resolve technical problems more effectively without relying on live support from contact center agents. However, the capacity limitation of corporate knowledge bases prevents online support centers from effectively resolving user problems. In addition, traditional textual search techniques...
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. These applications include contextual advertising, automatic text summarization, and user-centric entity detection systems. All these applications can potentially benefit from a successful solution as it enables computational...
In this paper, one Chinese interrogative sentence words segmentation technology based on the statistics in the intelligent Q/A system was introduced, we elaborated the process of the wordspsila sketchy division, the non-registering words recognition and the words marking which have different means, and the statistical model based on N most short-path's in wordspsila sketchy division was analyzed....
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