Towards the Construction of a Comprehensive

Department of Computer Science, Sultan Qaboos Unive rsity, Oman

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Adaptive Semantic Indexing of Documents for Locating Relevant Information in P2P Networks

Abstract: Locating relevant information in Peer#to#Peer (P2P) system is a challenging problem. Conventional approaches use

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Department of Computer Engineering, Shahid Beheshti University, Iran

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EEDIS Laboratory, Department of Computer Science, U niversity Djilali Liabès, Algeria 2King Faisal University, Saudi Arabia

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language. In this paper, we describe our question processing and document retrieval as two components of Arabic QAS. First,

#Natural language processing # Arabic question answering system # question classification # taxonomy # machine learning approach # SVM # decision-tree # naive bayes # POS tagging # query expansion # AWN

Ekin Ekinci and Sevinç Omurca

#Sentiment lexicon # beam search # pattern generation # turkish language # unsupervised framework

Nadia Karmani, Hsan Soussou, and Adel Alimi

#Tunisian arabic chat alphabet # tunisian arabic # transliteration # aebWordNet # tunisian arabic morphological analyzer # weighted finite state transducer

Xiaogang Zhang, Shouqian Sun, and Kejun Zhang

#Information content # Semantic similarity # WordNet taxonomy # Hyponym

Xiaogang Zhang,Lili Sun

#Computing similarity #information content #ontology and knowledge graph #WordNet #hypernymy/hyponymy

EEDIS Laboratory, Department of Computer Science, U niversity Djilali Liabès, Algeria 2King Faisal University, Saudi Arabia

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