Semiautomatic indexing of structured information of text

Nishida, Fujio; Takamatsu, Shinobu; Fujita, Yonehaura

doi:10.1021/ci00041a005

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…The type of texts is roughly similar to our abstracts, but their corpus is far more larger and seems more diverse. Nishida et al 3 did not present figures on the results of information extraction from abstract on semiconductors and patent claim sentences. Concerning chemical texts Ai et al 4 obtained extraction results of 60-90% depending on the complexity of the texts (without specifying to which measures these figures refer).…”

Section: Discussionmentioning

confidence: 99%

“…The strings between the square brackets identify the various syntactic and semantic features of the nodes on the given positions or originate from the lexicon entries of the words. For instance, vd stands for past participle and sf [3] stands for semantic frame number three, referring to a separately stored semantic selection restriction frame, which is consulted when needed.…”

Section: Theory and Implementationmentioning

confidence: 99%

“…Several authors have published work in the field of automatic information extraction within the chemistry domain. Nishida et al 3 have developed a system for extraction and storage of information contained within patent claim sentences in the domain of semiconductor production. Ai et al 4 developed a system for the extraction of (part of the) procedural synthesis information from the experimental section of one journal for organic chemistry.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Extraction of Analytical Chemical Information. System Description, Inventory of Tasks and Problems, and Preliminary Results

Postma

Bakel

Kateman

1996

J. Chem. Inf. Comput. Sci.

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A system for semiautomatic extraction of information from abstracts describing analytical methods is described. The system is based on the theory of Government and Binding for the syntactic part and Conceptual Graphs for the discourse analysis part. The system is modular and largely domain independent. The corpus of abstracts for which it is being developed contains abstracts from Analytical Abstracts Online. The current status of the system is that the grammar is finished and that the lexicon and the discourse module are under development. Preliminary results are that the system is capable of analyzing six abstracts on various analytical techniques.

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Section: Discussionmentioning

confidence: 99%

Section: Theory and Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic Extraction of Analytical Chemical Information. System Description, Inventory of Tasks and Problems, and Preliminary Results

Postma

Bakel

Kateman

1996

J. Chem. Inf. Comput. Sci.

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“…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.

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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...

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