Bartell, p. 2 ment is obtained for the artificial MED database of medical abstracts. The generally favorable performance suggests interesting potential for methods which explicitly modify the retrieval system to meet inter-document semantic constraints. 1 Introduction A well known and critical problem for document retrieval systems is the failure of individual keywords to identify the conceptual content of documents. It is difficult to determine whether a document is relevant to a query, or whether two documents are conceptually related, simply by examining the terms they share. In this paper we present a method for representing documents which is based explicitly on the semantic relationships between documents in addition to the individual...
The World Wide Web holds a large size of different information. Sometimes while searching the World ...
The World Wide Web holds a large size of different information. Sometimes while searching the World ...
International audienceOur hypothesis is that assessing the relevance of a document with respect to a...
Current information retrieval systems focus on the use of keywords to respond to user queries. We pr...
Patient medical records contain a great number of information distributed in different kinds of docu...
We investigate how semantic relations between concepts extracted from medical documents, and linked ...
Patient medical records contain a large amount of information distributed in different kinds of docu...
\u3cp\u3eIn this paper, we investigate on potential improvements to Information Retrieval (IR) model...
In this paper we propose a method for semantic text representation and term weighting. It is based o...
Abstract. In this paper, we explore the use of term relations in information re-trieval for precisio...
Abstract. In this paper, we explore the use of term relations in information re-trieval for precisio...
Most approaches to information retrieval have focused primarily on word co-occurrence, or what is ty...
In this paper, we investigate how semantic relations between concepts extracted from medical documen...
Document retrieval has been an important research problem over many years in the information retriev...
Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 9-12, ...
The World Wide Web holds a large size of different information. Sometimes while searching the World ...
The World Wide Web holds a large size of different information. Sometimes while searching the World ...
International audienceOur hypothesis is that assessing the relevance of a document with respect to a...
Current information retrieval systems focus on the use of keywords to respond to user queries. We pr...
Patient medical records contain a great number of information distributed in different kinds of docu...
We investigate how semantic relations between concepts extracted from medical documents, and linked ...
Patient medical records contain a large amount of information distributed in different kinds of docu...
\u3cp\u3eIn this paper, we investigate on potential improvements to Information Retrieval (IR) model...
In this paper we propose a method for semantic text representation and term weighting. It is based o...
Abstract. In this paper, we explore the use of term relations in information re-trieval for precisio...
Abstract. In this paper, we explore the use of term relations in information re-trieval for precisio...
Most approaches to information retrieval have focused primarily on word co-occurrence, or what is ty...
In this paper, we investigate how semantic relations between concepts extracted from medical documen...
Document retrieval has been an important research problem over many years in the information retriev...
Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 9-12, ...
The World Wide Web holds a large size of different information. Sometimes while searching the World ...
The World Wide Web holds a large size of different information. Sometimes while searching the World ...
International audienceOur hypothesis is that assessing the relevance of a document with respect to a...