AN ASPECT QUERY LANGUAGE MODEL BASED ON QUERY DECOMPOSITION AND HIGH-ORDER CONTEXTUAL TERM ASSOCIATIONS
نویسندگان
چکیده
منابع مشابه
An Aspect Query Language Model Based on Query Decomposition and High-Order Contextual Term Associations
In information retrieval research, more and more focus has been placed on optimizing a query language model by detecting and estimating the dependencies between the query and the observed terms occurring in the selected relevance feedback documents. In this paper, we propose a novel Aspect Language Modelling framework featuring term association acquisition, document segmentation, query decompos...
متن کاملIncorporating Intra-Query Term Dependencies in an Aspect Query Language Model
DAWEI SONG,1,2 YANJIE SHI,1 PENG ZHANG,1 QIANG HUANG,3 UDO KRUSCHWITZ,4 YUEXIAN HOU,1 AND BO WANG1 1Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, China 2Department of Computing, The Open University, UK 3School of Computing, University of East Anglia, UK 4School of Computer Science and Electronic Engineering, Univers...
متن کاملLanguage Model Based Query Classification
In this paper we propose a new way of using language models in query classification for question answering systems. We used a Bayes classifier as classification paradigm. Experimental results show that our approach outperforms current classification methods like Naive Bayes and SVM.
متن کاملPrivate Key based query on encrypted data
Nowadays, users of information systems have inclination to use a central server to decrease data transferring and maintenance costs. Since such a system is not so trustworthy, users' data usually upkeeps encrypted. However, encryption is not a nostrum for security problems and cannot guarantee the data security. In other words, there are some techniques that can endanger security of encrypted d...
متن کاملQuery expansion based on contextual meaning of the query terms
In this paper, a new method for query expansion is proposed which expands the original query based on the contextual meaning of it. User provides the method with an original query and a set of relevant documents. The term space extracted from the relevant documents by the vector space model is transformed to a topic space by means of latent semantic analysis. The terms’ projections in the topic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Intelligence
سال: 2012
ISSN: 0824-7935
DOI: 10.1111/j.1467-8640.2012.00407.x