TY - GEN
T1 - Analyzing telegraphic messages
AU - Grishman, Ralph
AU - Sterling, John
N1 - Funding Information:
Acknowledgements This research was supported by the Defense Advanced Research Projects Agency under contract N00014-85-K-0163 from the Office of Naval Research. Most of the modifications to the parser required for these messages were programmed and tested by Mahesh Chitrao.
Publisher Copyright:
© Speech and Natural Language.All right reserved.
PY - 1989
Y1 - 1989
N2 - We have shown how highly telegraphic messages can be analyzed through straightforward extensions of the mechanisms employed for the syntactic and semantic analysis of standard English text. We have extended previous work on the grammatical analysis of telegraphic messages by allowing for the omission of function words as well as major sentence constituents. This substantially increases syntactic ambiguity, but we have found that this ambiguity can be controlled by applying semantic constraints during parsing and by using a "best-first" parser in which lower scores are associated with analyses which assume omitted function words. To recover missing arguments from telegraphic text, we have adopted a strategy in which such omitted arguments are treated as anaphoric elements. In order to resolve anaphoric ambiguities, we have extended the anaphora resolution procedure to take account of the implicit causal and enablement relations in the text. We generate alternative resolutions of anaphoric reference and then select the text analysis with the highest "coherence": the analysis for which we can identify the greater number of intersentential relations.
AB - We have shown how highly telegraphic messages can be analyzed through straightforward extensions of the mechanisms employed for the syntactic and semantic analysis of standard English text. We have extended previous work on the grammatical analysis of telegraphic messages by allowing for the omission of function words as well as major sentence constituents. This substantially increases syntactic ambiguity, but we have found that this ambiguity can be controlled by applying semantic constraints during parsing and by using a "best-first" parser in which lower scores are associated with analyses which assume omitted function words. To recover missing arguments from telegraphic text, we have adopted a strategy in which such omitted arguments are treated as anaphoric elements. In order to resolve anaphoric ambiguities, we have extended the anaphora resolution procedure to take account of the implicit causal and enablement relations in the text. We generate alternative resolutions of anaphoric reference and then select the text analysis with the highest "coherence": the analysis for which we can identify the greater number of intersentential relations.
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M3 - Conference contribution
AN - SCOPUS:84913419507
T3 - Speech and Natural Language, Proceedings of a Workshop
SP - 204
EP - 208
BT - Speech and Natural Language, Proceedings of a Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 1989 Speech and Natural Language Workshop held at Philadelphia, PA Human Language Technology Conference, HLT 1989
Y2 - 21 February 1989 through 23 February 1989
ER -