Query Expansion
Related Papers
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In this paper we report on our natural language informa- tion retrieval (NLIR) project as related to the recently concluded 5th Text Retrieval Conference (TREC-5). The main thrust of this …...
Complementing WordNet with Roget’s and Corpus-based Thesauri for Information Retrieval
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Comparison of Two Interactive Search Refinement Techniques
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Instance-Based Question Answering: A Data-Driven Approach
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An Iterative Implicit Feedback Approach to Personalized Search
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Context-Dependent Term Relations for Information Retrieval
Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related words are usually determined with …...
Personalized Optimal Search in Local Query Expansion
Query Expansion was designed to overcome the barren query words issued by user and has been applied in many commercial products. This treatment tries to expand query words to identify …...
Statistical Machine Translation for Query Expansion in Answer Retrieval
We present an approach to query expan- sion in answer retrieval that uses Statisti- cal Machine Translation (SMT) techniques to bridge the lexical gap between ques- tions and answers. SMT-based …...
A Re-examination of Query Expansion Using Lexical Resources
Query expansion is an effective technique to improve the performance of information re- trieval systems. Although hand-crafted lexi- cal resources, such as WordNet, could provide more reliable related terms, previous …...
Selecting Query Term Alternations for Web Search by Exploiting Query Contexts
Query expansion by word alterations (alterna- tive forms of a word) is often used in Web search to replace word stemming. This allows users to specify particular word forms in …...
Text Mining Based Query Expansion for Chinese IR
Query expansion has long been suggested as a technique for dealing with word mismatch problem in information retrieval. In this paper, we describe a novel query expansion method which incorporates …...
Topic-Driven Multi-Document Summarization with Encyclopedic Knowledge and Spreading Activation
Information of interest to users is often dis- tributed over a set of documents. Users can specify their request for information as a query/topic – a set of one or …...
Discriminative Training for Near-Synonym Substitution
Near-synonyms are useful knowledge re- sources for many natural language applica- tions such as query expansion for information retrieval (IR) and paraphrasing for text gen- eration. However, near-synonyms are not …...
Enriching Dictionaries with Images from the Internet - Targeting Wikipedia and a Japanese Semantic Lexicon: Lexeed -
We propose a simple but effective method for enriching dictionary definitions with images based on image searches. Vari- ous query expansion methods using syn- onyms/hypernyms (or related words) are evaluated. …...
Linking Entities to a Knowledge Base with Query Expansion
In this paper we present a novel approach to entity linking based on a statistical lan- guage model-based information retrieval with query expansion. We use both local con- texts and …...
A MWE Acquisition and Lexicon Builder Web Service
This paper describes the development of a web-service tool for the automatic extraction of Multi-word expressions lexicons, which has been integrated in a distributed platform for the automatic creation of …...
An Improvement in Cross-Language Document Retrieval Based on Statistical Models
This paper presents a proposed method integrated with three statistical models including Translation model, Query generation model and Document retrieval model for cross-language document retrieval. Given a certain document in …...
Entity based Q&A Retrieval
Bridging the lexical gap between the user’s question and the question-answer pairs in the Q&A archives has been a major challenge for Q&A retrieval. State-of-the-art approaches address this issue by …...
Thematic Cohesion: measuring terms discriminatory power toward themes
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Mathematical Information Retrieval based on Type Embeddings and Query Expansion
AbstractWe present an approach to mathematical information retrieval (MIR) that exploits a special kind of technical terminology, referred to as a mathematical type. In this paper, we present and evaluate …...
Query Expansion with Locally-Trained Word Embeddings
Continuous space word embeddings have received a great deal of atten- tion in the natural language processing and machine learning communities for their ability to model term similarity and other …...
Word Segmentation in Sanskrit Using Path Constrained Random Walks
AbstractIn Sanskrit, the phonemes at the word boundaries undergo changes to form new phonemes through a process called as sandhi. A fused sentence can be segmented into multiple possible segmentations. …...
Learning Word Relatedness over Time
AbstractSearch systems are often focused on providing relevant results for the “now”, assuming both corpora and user needs that focus on the present. However, many corpora today reflect significant longitudinal …...
BERT-QE: Contextualized Query Expansion for Document Re-ranking
AbstractQuery expansion aims to mitigate the mismatch between the language used in a query and in a document. However, query expansion methods can suffer from introducing non-relevant information when expanding …...
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
AbstractManifold ranking has been successfully applied in query-oriented multi-document summariza-tion. It not only makes use of the relationships among the sentences but also the relationships between the given query and …...