Computer interpretation of natural language descriptions
Computer interpretation of natural language descriptions
Analyzing the structure of argumentative discourse
Computational Linguistics
Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A fast method of determining weighted compound keywords from text databases
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
An automatic clustering of articles using dictionary definitions
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Fast generation of abstracts from general domain text corpora by extracting relevant sentences
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Documents similarity measurement using field association terms
Information Processing and Management: an International Journal
Automatic building of new field association word candidates using search engine
Information Processing and Management: an International Journal
Improvement of building field association term dictionary using passage retrieval
Information Processing and Management: an International Journal
Ranking of field association terms using Co-word analysis
Information Processing and Management: an International Journal
An automatic extraction method of word tendency judgement for specific subjects
International Journal of Computer Applications in Technology
Relevant estimation among fields using field association words
International Journal of Computer Applications in Technology
Constructing field association words using declinable words and concurrent words
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Building of field association terms based on links
International Journal of Computer Applications in Technology
New approach for field association term dictionary with passage retrieval
ACMOS'07 Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation
Context constraint disambiguation of word semantics by field association schemes
Information Processing and Management: an International Journal
A new approach for improving field association term dictionary using passage retrieval
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A new approach for automatic building field association words using selective passage retrieval
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Building new field association term candidates automatically by search engine
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A new technique of determining speaker's intention for sentences in conversation
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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This paper presents a strategy for building a morphological machine dictionary of English that infers meaning of derivations by considering morphological affixes and their semantic classification. Derivations are grouped into a frame that is accessible to semantic stem and knowledge base. This paper also proposes an efficient method for selecting compound Field Association (FA) terms from a large pool of single FA terms for some specialized fields. For single FA terms, five levels of association are defined and two ranks are defined, based on stability and inheritance. About 85% of redundant compound FA terms can be removed effectively by using levels and ranks proposed in this paper. Recall averages of 60-80% are achieved, depending on the type of text. The proposed methods are applied to 22,000 relationships between verbs and nouns extracted from the large tagged corpus.