{"id":"https://openalex.org/W2982427539","doi":"https://doi.org/10.18653/v1/w19-3108","title":"Weighted parsing for grammar-based language models","display_name":"Weighted parsing for grammar-based language models","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982427539","doi":"https://doi.org/10.18653/v1/w19-3108","mag":"2982427539"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-3108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-3108","pdf_url":"https://www.aclweb.org/anthology/W19-3108.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-3108.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027810566","display_name":"Richard M\u00f6rbitz","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard M\u00f6rbitz","raw_affiliation_strings":["Faculty of Computer Science Technische Universit\u00e4t Dresden 01062 Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science Technische Universit\u00e4t Dresden 01062 Dresden","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013068281","display_name":"Heiko Vogler","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko Vogler","raw_affiliation_strings":["Faculty of Computer Science Technische Universitt Dresden 01062 Dresden","Faculty of Computer Science Technische Universit\u00e4t Dresden 01062 Dresden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science Technische Universitt Dresden 01062 Dresden","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Faculty of Computer Science Technische Universit\u00e4t Dresden 01062 Dresden","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.4339,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72715164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T10142","display_name":"Formal Methods in Verification","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/parsing","display_name":"Parsing","score":0.8252743482589722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.809251070022583},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6927944421768188},{"id":"https://openalex.org/keywords/top-down-parsing-language","display_name":"Top-down parsing language","score":0.6891045570373535},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.6687788963317871},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6157755851745605},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5832738280296326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5669689178466797},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.5491762161254883},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.549014687538147},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5397456884384155},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.522646427154541},{"id":"https://openalex.org/keywords/parsing-expression-grammar","display_name":"Parsing expression grammar","score":0.4259136915206909},{"id":"https://openalex.org/keywords/context-free-grammar","display_name":"Context-free grammar","score":0.2195245325565338},{"id":"https://openalex.org/keywords/l-attributed-grammar","display_name":"L-attributed grammar","score":0.18269309401512146},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14865577220916748}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8252743482589722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809251070022583},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6927944421768188},{"id":"https://openalex.org/C166651950","wikidata":"https://www.wikidata.org/wiki/Q7824365","display_name":"Top-down parsing language","level":5,"score":0.6891045570373535},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.6687788963317871},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6157755851745605},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5832738280296326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5669689178466797},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5491762161254883},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.549014687538147},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5397456884384155},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.522646427154541},{"id":"https://openalex.org/C146810361","wikidata":"https://www.wikidata.org/wiki/Q32271","display_name":"Parsing expression grammar","level":5,"score":0.4259136915206909},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.2195245325565338},{"id":"https://openalex.org/C67621940","wikidata":"https://www.wikidata.org/wiki/Q3113340","display_name":"L-attributed grammar","level":4,"score":0.18269309401512146},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14865577220916748},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-3108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-3108","pdf_url":"https://www.aclweb.org/anthology/W19-3108.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-3108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-3108","pdf_url":"https://www.aclweb.org/anthology/W19-3108.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982427539.pdf","grobid_xml":"https://content.openalex.org/works/W2982427539.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W28676555","https://openalex.org/W162009636","https://openalex.org/W1503860275","https://openalex.org/W1975638108","https://openalex.org/W1980516134","https://openalex.org/W1984256985","https://openalex.org/W1987010534","https://openalex.org/W1996484504","https://openalex.org/W2001023560","https://openalex.org/W2026113340","https://openalex.org/W2056653303","https://openalex.org/W2061786858","https://openalex.org/W2083816738","https://openalex.org/W2115753373","https://openalex.org/W2125528794","https://openalex.org/W2150752478","https://openalex.org/W2152096446","https://openalex.org/W2167954650","https://openalex.org/W2169528473","https://openalex.org/W2185441650","https://openalex.org/W2322097385","https://openalex.org/W2513212889","https://openalex.org/W2911246871","https://openalex.org/W3005278268"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W4291149798","https://openalex.org/W4320024782","https://openalex.org/W2164260211","https://openalex.org/W2483839524","https://openalex.org/W2529664582","https://openalex.org/W2105710547","https://openalex.org/W2246820938","https://openalex.org/W2804916787","https://openalex.org/W2389755172"],"abstract_inverted_index":{"We":[0,48],"develop":[1],"a":[2,58],"general":[3],"framework":[4],"for":[5,57],"weighted":[6,31,62],"parsing":[7],"which":[8,52],"is":[9,55],"built":[10],"on":[11],"top":[12],"of":[13,42,61],"grammarbased":[14],"language":[15,64],"models":[16],"and":[17,34,54],"employs":[18],"flexible":[19],"weight":[20],"algebras.":[21],"It":[22],"generalizes":[23],"previous":[24],"work":[25],"in":[26],"that":[27],"area":[28],"(semiring":[29],"parsing,":[30,43],"deductive":[32],"parsing)":[33],"also":[35],"covers":[36],"applications":[37],"outside":[38],"the":[39],"classical":[40],"scope":[41],"e.g.,":[44],"algebraic":[45],"dynamic":[46],"programming.":[47],"show":[49],"an":[50],"algorithm":[51],"terminates":[53],"correct":[56],"large":[59],"class":[60],"grammar-based":[63],"models.":[65]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
