File Information
File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/concl/92/h92-1047_concl.xml
Size: 1,249 bytes
Last Modified: 2025-10-06 13:56:53
<?xml version="1.0" standalone="yes"?> <Paper uid="H92-1047"> <Title>The Acquisition of Lexical Semantic Knowledge from Large Corpora</Title> <Section position="5" start_page="246" end_page="246" type="concl"> <SectionTitle> 5. Conclusion </SectionTitle> <Paragraph position="0"> We contend that using lexical semantic methods to guide lexical knowledge acquisition from corpora can yield structured thesaurus-like information in a form amenable for use within information retrieval applications. The work reported here illustrates the applicability of this approach for several important classes of nominals. Future work includes refining the discovery procedures to reduce misses and false alarms and extending the coverage of the lexical semantics component to allow the testing of such techniques on a greater range of terms. Finally, we are applying the results of the analysis within the context of data extraction for IR, to test their effectiveness as indexing and retrieval aids. Much of what we have outlined is still programmatic, but we believe that the approach to extracting information from corpora making use of lexical semantic information is a fruitful one and an area definitely worth exploring.</Paragraph> </Section> class="xml-element"></Paper>