Integrating Query Performance Prediction in Term Scoring for Diachronic Thesaurus
نویسندگان
چکیده
A diachronic thesaurus is a lexical resource that aims to map between modern terms and their semantically related terms in earlier periods. In this paper, we investigate the task of collecting a list of relevant modern target terms for a domain-specific diachronic thesaurus. We propose a supervised learning scheme, which integrates features from two closely related fields: Terminology Extraction and Query Performance Prediction (QPP). Our method further expands modern candidate terms with ancient related terms, before assessing their corpus relevancy with QPP measures. We evaluate the empirical benefit of our method for a thesaurus for a diachronic
منابع مشابه
Analysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)
Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis. Methods: The method of this research is log anal...
متن کاملAssessing thesaurus-based query expansion using the UMLS Metathesaurus
OBJECTIVES Assess query expansion using thesaurus relationships and definitions in the UMLS Metathesaurus for improving searching performance. METHODS The queries from a MEDLINE test collection (OHSUMED) were expanded using synonym, hierarchical, and related term information as well as term definitions from the UMLS Metathesaurus. Documents were retrieved from a word-statistical retrieval sys...
متن کاملAssociation Thesaurus Construction for Interactive Query Expansion Based on Association Rule Mining
This paper presents an interactive query expansion method with association thesaurus, which is mined from the ‘selected web pages’ of users in the query logs. The ‘selected web pages’ of users are transferred into ‘sets of query terms’ and then used for term correlation mining. Accordingly, various association thesauruses concerning different query terms are constructed from these term correlat...
متن کاملUsing a Medical Thesaurus to Predict Query Difficulty
Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical domain. We propose a novel predictor that exploits a thesaurus to ascertain how difficult queries are. In our experiments, we show that our predictor outperforms the state-of-the-art methods ...
متن کاملCombining Thesauri-Based Methods for Biomedical Retrieval
This paper describes our participation in the TREC 2005 Genomics track. We took part in the ad hoc retrieval task and aimed at integrating thesauri in the retrieval model. We developed three thesauri-based methods, two of which made use of the existing MeSH thesaurus. One method uses blind relevance feedback on MeSH terms, the second uses an index of the MeSH thesaurus for query expansion. The ...
متن کامل