{"id":"https://openalex.org/W2164188489","doi":"https://doi.org/10.3115/1219840.1219863","title":"Data-defined kernels for parse reranking derived from probabilistic models","display_name":"Data-defined kernels for parse reranking derived from probabilistic models","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2164188489","doi":"https://doi.org/10.3115/1219840.1219863","mag":"2164188489"},"language":"en","primary_location":{"id":"doi:10.3115/1219840.1219863","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219863","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219863","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219863","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084321238","display_name":"James Henderson","orcid":"https://orcid.org/0000-0003-3714-4799"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Henderson","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086717154","display_name":"Ivan Titov","orcid":"https://orcid.org/0000-0002-2583-1893"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ivan Titov","raw_affiliation_strings":["University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9716,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87788847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":0.9997000098228455,"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/T12031","display_name":"Speech and dialogue systems","score":0.9832000136375427,"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/computer-science","display_name":"Computer science","score":0.8321904540061951},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.8106706142425537},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7801401615142822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7035538554191589},{"id":"https://openalex.org/keywords/parse-tree","display_name":"Parse tree","score":0.5373526811599731},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5368075966835022},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5318018794059753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5277555584907532},{"id":"https://openalex.org/keywords/probabilistic-relevance-model","display_name":"Probabilistic relevance model","score":0.4891672432422638},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.43501460552215576},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41432899236679077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3242793083190918},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.16624191403388977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07845675945281982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8321904540061951},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8106706142425537},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7801401615142822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7035538554191589},{"id":"https://openalex.org/C2781466058","wikidata":"https://www.wikidata.org/wiki/Q627921","display_name":"Parse tree","level":3,"score":0.5373526811599731},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5368075966835022},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5318018794059753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5277555584907532},{"id":"https://openalex.org/C143017306","wikidata":"https://www.wikidata.org/wiki/Q3318133","display_name":"Probabilistic relevance model","level":4,"score":0.4891672432422638},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.43501460552215576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41432899236679077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3242793083190918},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.16624191403388977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07845675945281982},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/1219840.1219863","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219863","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219863","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.7784","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.7784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/P/P05/P05-1023.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1219840.1219863","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219863","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219863","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2164188489.pdf","grobid_xml":"https://content.openalex.org/works/W2164188489.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W147273232","https://openalex.org/W1535015163","https://openalex.org/W1571861579","https://openalex.org/W1632114991","https://openalex.org/W1773803948","https://openalex.org/W1953828586","https://openalex.org/W1968447186","https://openalex.org/W1979711143","https://openalex.org/W2050751769","https://openalex.org/W2057399676","https://openalex.org/W2092654472","https://openalex.org/W2098050104","https://openalex.org/W2104917081","https://openalex.org/W2106868411","https://openalex.org/W2131297983","https://openalex.org/W2143431851","https://openalex.org/W2152302696","https://openalex.org/W2166473218","https://openalex.org/W2429914308","https://openalex.org/W3021452258"],"related_works":["https://openalex.org/W4244615522","https://openalex.org/W1972256049","https://openalex.org/W2338828339","https://openalex.org/W2166677757","https://openalex.org/W2141288413","https://openalex.org/W3123688778","https://openalex.org/W1634973882","https://openalex.org/W2049995120","https://openalex.org/W2033808215","https://openalex.org/W1994456160"],"abstract_inverted_index":{"Previous":[0],"research":[1],"applying":[2],"kernel":[3,77,100],"methods":[4],"to":[5,74,106],"natural":[6],"language":[7],"parsing":[8],"have":[9],"focussed":[10],"on":[11,21],"proposing":[12],"kernels":[13,36],"over":[14,122],"parse":[15,80],"trees,":[16],"which":[17],"are":[18],"hand-crafted":[19],"based":[20,89],"domain":[22],"knowledge":[23],"and":[24,96],"computational":[25],"considerations.":[26],"In":[27,82],"this":[28],"paper":[29],"we":[30,67,84],"propose":[31,68],"a":[32,40,76,86,119],"method":[33,66,117],"for":[34,78],"defining":[35],"in":[37,61],"terms":[38],"of":[39,43,54,125],"probabilistic":[41,56,94,114,127],"model":[42,46,57],"parsing.":[44],"This":[45,116],"is":[47],"then":[48,69],"trained,":[49],"so":[50],"that":[51],"the":[52,55,59,62,93,98,102,108,113,123,126],"parameters":[53,73],"reflect":[58],"generalizations":[60],"training":[63],"data.":[64],"The":[65],"uses":[70],"these":[71],"trained":[72],"define":[75],"reranking":[79],"trees.":[81],"experiments,":[83],"use":[85,97],"neural":[87],"network":[88],"statistical":[90],"parser":[91],"as":[92],"model,":[95],"resulting":[99],"with":[101],"Voted":[103],"Perceptron":[104],"algorithm":[105],"rerank":[107],"top":[109],"20":[110],"parses":[111],"from":[112],"model.":[115,128],"achieves":[118],"significant":[120],"improvement":[121],"accuracy":[124]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}