{"id":"https://openalex.org/W2167143364","doi":"https://doi.org/10.3115/980691.980754","title":"An interactive domain independent approach to robust dialogue interpretation","display_name":"An interactive domain independent approach to robust dialogue interpretation","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2167143364","doi":"https://doi.org/10.3115/980691.980754","mag":"2167143364"},"language":"en","primary_location":{"id":"doi:10.3115/980691.980754","is_oa":true,"landing_page_url":"https://doi.org/10.3115/980691.980754","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/980691.980754","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th annual meeting on Association for Computational Linguistics  -","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/980691.980754","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Carolyn Penstein Ros\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carolyn Penstein Ros\u00e9","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lori S. Levin","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lori S. Levin","raw_affiliation_strings":["Carnegie Mellon University, Center for Machine Translation, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Center for Machine Translation, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18318218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1129","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.7138000130653381},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.560699999332428},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.392300009727478},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.39070001244544983},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.36629998683929443},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3653999865055084}],"concepts":[{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862000226974487},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.560699999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5529999732971191},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4235000014305115},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.36629998683929443},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3653999865055084},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C2780654840","wikidata":"https://www.wikidata.org/wiki/Q333341","display_name":"Abstract interpretation","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/980691.980754","is_oa":true,"landing_page_url":"https://doi.org/10.3115/980691.980754","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/980691.980754","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th annual meeting on Association for Computational Linguistics  -","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/980691.980754","is_oa":true,"landing_page_url":"https://doi.org/10.3115/980691.980754","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/980691.980754","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th annual meeting on Association for Computational Linguistics  -","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2167143364.pdf","grobid_xml":"https://content.openalex.org/works/W2167143364.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"discuss":[1],"an":[2],"interactive":[3,17],"approach":[4,30],"to":[5,19],"robust":[6,20],"interpretation":[7,21],"in":[8,46],"a":[9,43,50],"large":[10],"scale":[11],"speech-to-speech":[12],"translation":[13],"system.":[14],"Where":[15],"other":[16],"approaches":[18],"have":[22],"depended":[23],"upon":[24],"domain":[25],"dependent":[26],"repair":[27,39],"rules,":[28],"the":[29],"described":[31],"here":[32],"operates":[33],"efficiently":[34],"without":[35],"any":[36],"such":[37],"hand-coded":[38],"knowledge":[40],"and":[41],"yields":[42],"37%":[44],"reduction":[45],"error":[47],"rate":[48],"over":[49],"corpus":[51],"of":[52],"noisy":[53],"sentences.":[54]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
