Normalization of titles and their retrieval

Takamatsu, Shinobu; Fujita, Yoneharu; Nishida, Fujio

doi:10.1016/0306-4573(80)90018-7

Cited by 7 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The classes represent the facets pertinent to the subfield and also the columns in the tabular format display. Contrary to the methods of Sager and others [11], the present approach, using simple syntactic patterns, employs neither a complex parser nor a large dictionary, although its applicability is relatively limited.…”

Section: Introductionmentioning

confidence: 77%

“…The translation accuracy for physical papers from the IN SPEC database was about 93%. Case labelling to title words ' Takamatsu et al developed a method to assign cases or roles to substantive words in English titles by use of a syntactic parser [11]. A title with case-labelled words is converted to a normalised function expression with a hierarchical structure and stored in a file.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extraction of facet terms from article titles and their display in tabular form

Sano

1991

Journal of Information Science

View full text Add to dashboard Cite

A trial was carned out to effect automatic extraction of significant words from titles of scientific papers and display them in tabular form. The extraction algonthm is based on the simple syntactic patterns developed around a "pivot word." which has high control over the use of functional words in its vicinity. A pivot word and prepositions as well as punctuation marks delimit and extract title words; no word dictionary is used. The approach was applied to article titles in analytical chemistry. which include "determination(s)" and "determining" as pivot words. The syntactic patterns were expressed by Backus Naur Form notations, from which extraction rules were denved. Sample titles were processed on a personal computer, loaded with LISP programs for information extraction and table format display in accordance with the facets essential to analy sis. The adequacy of the approach was regarded as good with regard to its simplicity. This approach not only extracts keywords from article titles but also provides them with proper roles in conformity with the facets pertinent to the subject concerned.

show abstract

Section: Introductionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Extraction of facet terms from article titles and their display in tabular form

Sano

1991

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…Let us just mention some of them (in alphabetical order) together with some theoretical work: Andreewsky (1977) with the SPIRIT system, Barbi (1984), Borko (1970), BraunSchwind (1976, CoyaudiSiot-Decauville (1967) with the SYNTOL system, Craven (1978), the FASIT system by Dillon (1983), Dombrowski (1980), Earl (1970), Fimbel (1985, FuhriKnorz (1984) with a system based primarily on statistics, Grimm (1980), JaeneiSeelbach (1975 describe (in German) a noun phrase delimiting technique for different languages, Janas (1977), Karlgren/Walker (1983) combine techniques from information retrieval and question-answering systems, Kelly/Stone (1975) describe a very pragmatic approach to natural language free text syntax analysis, Klingbiel (1985), Kraft (1985) gives an overview about information retrieval techniques and briefly mentions computational linguistics, Maeda (1980), Metzler (1984), Neufeld (1974), Nishida (1984) with frames for a semantically limited application, Olney (1976), Sager (1981) discards the field of pure syntax for specialized medical applications, Seelbach (1975) describes (in German) a very efficient approach to mass data syntactic-semantic analysis, Sparck- Jones/Kay (1973) give an overview about linguistics and information science, Takamatsu (1980) more or less turns away from the framework of mass data processing in information retrieval, Vinogradov (1981), Walker (1981) discusses problems of information retrieval and question answering systems, Wyllys (1967), Zimmermann (1979) outlines (in German) a syntax based indexing and search system.…”

Section: Syntactic Analysis and Information Retrieval: An Overviewmentioning

confidence: 99%

Automatic syntactic analysis of free text

Schwarz

1990

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

Problems encountered under the syntactic analysis of free text documents are discussed. As these problems are of general interest in nonautomatic or automatic syntactic indexing or search systems, these problems are presented in detail. The system called COPSY (context operator syntax), which uses natural language processing techniques during fully automatic syntactic analysis (indexing and search) of free text documents is described. Applications under real world conditions are mentioned as well as evaluation and technical aspects. Further developments in the field of thesaurus building and full-text analysis using the linguistic algorithms of the syntactic retrieval system are outlined. COPSY was developed as part of a text processing project at Siemens, called TINA (Text-/n halts-Analyse: text content analysis). Software from TINA is actually being tested by the U.S. Department of Commerce for patent search and indexing.Traditional Techniques "Precision-oriented devices involve using term phrases instead of single terms" (Salton, 1986) and their development is being pursued more and more intensely (Doszkocs, 1986). The crucial issues that term combination (i.e., syntactic indexing and search) deals with are fundamental problems in information retrieval. Therefore, we will begin by discussing some general problems that arise in this context, in particular postcoordination and precoordination. PostcoordinationTo simulate syntactic relations between search terms, commercial information retrieval systems use context operators in order to get better results with regard to precision. Apart from this technique there is the possibility of building more sophisticated inverted files that invert free text search terms in "narrower" units than documents or even paragraphs: the inversion is organized on the sentence level. In this case, the Boolean AND search looks for terms within sentence boundaries using the operator often called "WITH." This technique, too, can be regarded as a Received June 9, 1987; revised March 3, 1988; accepted July 11. 1988. C 1990 very crude means of doing a kind of pseudo-syntax by grouping terms close together.These well known techniques allow a post-coordinate search which combines search terms on-line. The advantage of searching in this manner is that the producers of information retrieval software do not really have to offer new systems. Instead they need only integrate more complex inverted files with more specific search sections (paragraphs, sentences) where search terms can be found using Boolean AND. Integrating word position numbers in context operator searches (often called "ADJACENT" or, more general, "NEAR") on the other hand does not imply a new concept in inverted file constructions.The disadvantages of the above mentioned search facilities are well known to searchers: complicated search logics have to be built up by the searcher and he or she is more or less forced to predict formulations his or her search question might have in the free text documents.If the searcher is lookin...

show abstract

“…1,2 Subsequently, structural analysis of text has been introduced. [5][6][7][8][9][10][11] It is based on the concept of case and frame presented by Fillmore and Minsky3,4 and aimes at processing of structured information or knowledge involved in text. Extacting, storing, and handling of structured information will be essential to knowledge engineering and information science in the near future.…”

Section: Introductionmentioning

confidence: 99%