Ықтималдық жасырын семантикалық талдау

We present a comparative evaluation of two data-driven models used in translation selec- tion of English-Korean machine translation. La- tent semantic analysis(LSA) and probabilistic latent semantic analysis (PLSA) are applied …...

Probabilistic Latent Semantic Analysis (PLSA) models have been shown to pro- vide a better model for capturing poly- semy and synonymy than Latent Seman- tic Analysis (LSA). However, the param- …...

We consider the problem of query-focused multi- document summarization, where a summary containing the information most relevant to a user’s information need is produced from a set of topic-related documents. …...

This paper proposes an improved approach to extrac- tive summarization of spoken multi-party interac- tion, in which integrated random walk is performed on a graph constructed on topical/ lexical relations. …...

Community created content (e.g., product de- scriptions, reviews) typically discusses one entity at a time and it can be hard as well as time consuming for a user to compare …...