Add to ORKGThis paper describes a new algorithm for automatically extracting index terms from documents relating to the domain of agriculture. The domain-specific Agrovoc thesaurus developed by the FAO is used both as a controlled vocabulary and as a knowledge base for semantic matching. The automatically assigned terms are evaluated against a manually indexed 200-item sample of the FAO’s document repository, and the performance of the new algorithm is compared with a state-of-the-art system for keyphrase extraction. Key words: automatic indexing, machine aided indexing, keyphrase extraction, keyphrase assignment.
Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to p...
Agricultural research generates highly locale-specific as well as abstract or location-neutral infor...
Prospective readers can quickly determine whether a document is relevant to their information need i...
This paper describes a new algorithm for automatically extracting index terms from documents relatin...
This paper describes a new algorithm for automatically extracting index terms from documents relatin...
Keyphrases are widely used in both physical and digital libraries as a brief, but precise, summary o...
We propose a new method that enhances automatic keyphrase extraction by using semantic information o...
<div><p>This article describes the procedures used in the computer-aided semi-automatic indexing of ...
In this paper we present the tools, techniques and evaluation results of an automatic indexing exper...
Filtering and search mechanisms which permit to identify key bibliographic references are fundamenta...
This research addresses the problem of automatic keyphrase extraction from large documents and back ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
We show the evaluation results, tools and techniques used to automatically index data collections. W...
Contemporary research and production activity require searching and collecting a variety of informat...
Documents can be assigned keywords by frequency analysis of the terms found in the document text, w...
Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to p...
Agricultural research generates highly locale-specific as well as abstract or location-neutral infor...
Prospective readers can quickly determine whether a document is relevant to their information need i...
This paper describes a new algorithm for automatically extracting index terms from documents relatin...
This paper describes a new algorithm for automatically extracting index terms from documents relatin...
Keyphrases are widely used in both physical and digital libraries as a brief, but precise, summary o...
We propose a new method that enhances automatic keyphrase extraction by using semantic information o...
<div><p>This article describes the procedures used in the computer-aided semi-automatic indexing of ...
In this paper we present the tools, techniques and evaluation results of an automatic indexing exper...
Filtering and search mechanisms which permit to identify key bibliographic references are fundamenta...
This research addresses the problem of automatic keyphrase extraction from large documents and back ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
We show the evaluation results, tools and techniques used to automatically index data collections. W...
Contemporary research and production activity require searching and collecting a variety of informat...
Documents can be assigned keywords by frequency analysis of the terms found in the document text, w...
Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to p...
Agricultural research generates highly locale-specific as well as abstract or location-neutral infor...
Prospective readers can quickly determine whether a document is relevant to their information need i...