Abstract. How to improve the rankings of the relevant documents plays a key role in information retrieval. In this paper, a re-ranking approach based on topic words pair is proposed to improve precision while recall is preserved. The topic word pairs contain two correlated words, one of which is the original query word and the other come from the documents. The selection is based on Probabilistic Latent Semantic Indexing (PLSI). Then, the distribution of the word pairs is used to re-rank documents. Results show a 53.6 % and 56.8 % improvement compare to the initial retrieval without any re-ranking or query expansion on NTCIR-5 document collection for SLIR.
Question Answering / NLPInternational audienceWe proposed a re-ranking method for improving the perf...
This paper proposes an investigation about a re-ranking strategy presented at SIGIR 2010. In that wo...
This research proposed a new method for re-ranking documents by considering important information fr...
International audienceThis paper introduces a novel approach for document re-ranking in information ...
International audienceThis paper introduces a novel approach for document re-ranking in information ...
Terms which co-occur with query words are hypothesized to be helpful to discriminate the source docu...
Search system and method for retrieving relevant documents from a text data base collection comprise...
Search system and method for retrieving relevant documents from a text data base collection comprise...
A number of works have shown that the aggregation of several information Retrieval (IR) systems work...
A number of works have shown that the aggregation of several information Retrieval (IR) systems work...
Topics models, such as LDA, are widely used in Natural Language Processing. Making their output inte...
This paper proposes a novel document re-ranking approach in information retrieval, which is done by ...
Easily accessed publishing channels have resulted in the problem of information overload. Convention...
Easily accessed publishing channels have resulted in the problem of information overload. Convention...
Easily accessed publishing channels have resulted in the problem of information overload. Convention...
Question Answering / NLPInternational audienceWe proposed a re-ranking method for improving the perf...
This paper proposes an investigation about a re-ranking strategy presented at SIGIR 2010. In that wo...
This research proposed a new method for re-ranking documents by considering important information fr...
International audienceThis paper introduces a novel approach for document re-ranking in information ...
International audienceThis paper introduces a novel approach for document re-ranking in information ...
Terms which co-occur with query words are hypothesized to be helpful to discriminate the source docu...
Search system and method for retrieving relevant documents from a text data base collection comprise...
Search system and method for retrieving relevant documents from a text data base collection comprise...
A number of works have shown that the aggregation of several information Retrieval (IR) systems work...
A number of works have shown that the aggregation of several information Retrieval (IR) systems work...
Topics models, such as LDA, are widely used in Natural Language Processing. Making their output inte...
This paper proposes a novel document re-ranking approach in information retrieval, which is done by ...
Easily accessed publishing channels have resulted in the problem of information overload. Convention...
Easily accessed publishing channels have resulted in the problem of information overload. Convention...
Easily accessed publishing channels have resulted in the problem of information overload. Convention...
Question Answering / NLPInternational audienceWe proposed a re-ranking method for improving the perf...
This paper proposes an investigation about a re-ranking strategy presented at SIGIR 2010. In that wo...
This research proposed a new method for re-ranking documents by considering important information fr...