Conjunction, ellipsis, and other discontinuous constituents in the constituent object parser

Metzler, Douglas P.; Haas, Stephanie W.; Cosic, Cynthia; Weise, Constanze

doi:10.1016/0306-4573(90)90009-q

Cited by 13 publications

(6 citation statements)

References 12 publications

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“…Metzler and Haas (1989), Metzler, Haas, Cosic, and Weise (1990), Schwarz (1990), and Ruge, Schwarz, and Warner (1991) performed syntactic processing to produce dependency trees that indicate which terms modify which other terms. Smeaton and van Rijsbergen (1988) found that the premodifier‐head noun relation (e.g., adjective‐noun) has a greater impact on retrieval than other relations.…”

Section: Semantic Relations In Information Retrievalmentioning

confidence: 99%

“…The retrieval results from syntactic relation matching appears to be no better than the results obtainable using index phrases generated using statistical methods, such as those described by Fagan (1989). Metzler & Haas (1989), Metzler, Haas, Cosic & Weise (1990), Schwarz (1990), and Ruge, Schwarz, & Warner (1991) performed syntactic processing to produce dependency trees that indicate which terms modify which other terms. Smeaton & van Rijsbergen (1988) found that the premodifier-headnoun relation (e.g., adjective-noun) has a bigger impact on retrieval than other relations.…”

Section: Relation Matching For Precision Enhancementmentioning

confidence: 99%

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Semantic relations in information science

Khoo

2006

Annual Review Info Sci & Tec

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Abstract. This chapter examines the nature of semantic relations and their main applications in information science. The nature and types of semantic relations are discussed from the perspectives of linguistics and psychology. An overview of the semantic relations used in knowledge structures such as thesauri and ontologies are provided, as well as the main techniques used in the automatic extraction of semantic relations from text. The chapter then reviews the use of semantic relations in information extraction, information retrieval, question-answering and automatic text summarization applications.

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Section: Semantic Relations In Information Retrievalmentioning

confidence: 99%

Section: Relation Matching For Precision Enhancementmentioning

confidence: 99%

Semantic relations in information science

Khoo

2006

Annual Review Info Sci & Tec

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“…The Constituent Object Parser (COP, [88], [90], and [89]) also relies on large grammatical and lexical data. First, it filters documents through keywords contained in the query, and then parses the query and the sentences in the selected documents to produce binary trees expressing dependency relations.…”

Section: Phrase Indexingmentioning

confidence: 99%

Reducing Information Variation in Text

Savary¹,

Jacquemin

2003

Text- And Speech-Triggered Information Access

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Abstract. We discuss the nature and the scope of linguistic (morphological, syntactic and semantic) variation of terms and its impact on two information retrieval tasks: term acquisition and automatic indexing. A review of natural language processing techniques existing in these two areas is done, along with an in-depth presentation of FASTR, a corpus processor for the recognition, normalization, and acquisition of multi-word terms.

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“…Note that this token reflects the correct scope and dependency relationships among the various lexical terms. (Metzler, Haas, & Cosic, 1988a)…”

Section: Extensions To the Basic Parsing Processmentioning

confidence: 99%

“…Many types of ellipsis are also covered. (Metzler et al, 1988a. ) The Working Environment of the Parser Although the development of COP was directly influenced by the information retrieval task, the nature of its design makes it adaptable to a variety of tasks.…”

Section: Other Structuresmentioning

confidence: 99%

Constituent object parsing for information retrieval and similar text processing problems

Metzler

Haas

Cosic

et al. 1989

J. Am. Soc. Inf. Sci.

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The architecture and functioning of the Constituent Object Parser are described. This system has been developed specifically for text processing applications such as information retrieval, which can benefit from structural comparisons between elements of text such as a query and a potentially relevant abstract. The general way in which the system performs these matches, and the ways In which this objective influenced the design of the system are described. The parsing architecture incorporates several interesting features including: (1) an unusual combination of declarative and procedural representation techniques, (2) a monotonic discipline which permits useful heuristic approaches to difficult linguistic problems such as ellipsis, conjunction, ambiguity, and ill-formed and incomplete input, and (3) an attempt to minimize the level of syntactic detail required in both the grammar and the lexicon.

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Conjunction, ellipsis, and other discontinuous constituents in the constituent object parser

Cited by 13 publications

References 12 publications

Semantic relations in information science

Semantic relations in information science

Reducing Information Variation in Text

Constituent object parsing for information retrieval and similar text processing problems

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