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» Rule-based word clustering for document metadata extraction
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WCE
2007
13 years 6 months ago
An Intelligent Conversational Agent Approach to Extracting Queries from Natural Language
—This paper is concerned with the application of a conversational agent and expert system to provide a natural language interface to a database. Typically, natural language datab...
Karen Pudner, Keeley A. Crockett, Zuhair Bandar
ICPPW
2002
IEEE
13 years 10 months ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
CAISE
2004
Springer
13 years 10 months ago
Facing Document-Provider Heterogeneity in Knowledge Portals
Knowledge portals aim at facilitating the location, sharing and dissemination of information by sitting ontologies at the core of the system. For heterogeneous environments where c...
Jon Iturrioz, Oscar Díaz, Sergio Fern&aacut...
NLDB
2007
Springer
13 years 11 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
ICDAR
2011
IEEE
12 years 4 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...