Paper: Full-Text Processing: Improving A Practical NLP System Based On Surface Information Within The Context

ACL ID C96-2139
Title Full-Text Processing: Improving A Practical NLP System Based On Surface Information Within The Context
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
Authors

Rich information fl)r resolving ambigui- ties m sentence ~malysis~ including vari- ous context-dependent 1)rol)lems. can be ob- tained by analyzing a simple set of parsed ~rces of each senten('e in a text withom constructing a predse model of the contex~ tl(rough deep senmntic.anMysis. Th.us. pro- text. Without constructing a i):recige filodel of the eohtext through, deep sema~nfiCamtlys~is, our frmne= "work-refers.to a set(ff:parsed trees. (.r~sltlt~ 9 f syn- : tacti(" miaiysis)ofeach sexitencd in t.li~;~i'ext as (:on- text ilfformation, Thus. our context model consists of parse(f trees that are obtained 1)y using mi exlst- il!g g¢lwral syntactic parser. Excel)t for information ()It the sequence of senl;,en('es, olIr framework does nol consider any discourse stru(:~:ure mwh as the discou...