{"id":"https://openalex.org/W21072717","doi":null,"title":"Using an Enriched TAG Derivation Structure as Basis for Semantics","display_name":"Using an Enriched TAG Derivation Structure as Basis for Semantics","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W21072717","mag":"21072717"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.5852","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.5852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://talana.linguist.jussieu.fr/~lkallmey/papers/tag+6.ps.gz","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004268590","display_name":"Laura Kallmeyer","orcid":"https://orcid.org/0000-0001-9691-5990","observed_orcids":["https://orcid.org/0000-0001-9691-5990"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Laura Kallmeyer","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9691-5990","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5004268590"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":28.4055,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.99179048,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.00570000009611249,"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/T11567","display_name":"semigroups and automata theory","score":0.0003000000142492354,"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/tree-adjoining-grammar","display_name":"tree adjoining grammars","score":0.9779999852180481},{"id":"https://openalex.org/keywords/semantics","display_name":"semantics","score":0.42500001192092896},{"id":"https://openalex.org/keywords/parse-trees","display_name":"parse trees","score":0.6850000023841858},{"id":"https://openalex.org/keywords/quantifiers","display_name":"quantifiers","score":0.527999997138977},{"id":"https://openalex.org/keywords/prepositional-phrases","display_name":"prepositional phrases","score":0.7020000219345093}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6574671268463135},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5758836269378662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476755499839783},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.38905590772628784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28182852268218994},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07162970304489136}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.5852","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.5852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://talana.linguist.jussieu.fr/~lkallmey/papers/tag+6.ps.gz","raw_type":"text"},{"id":"mag:21072717","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/W02-2218.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W28187771","https://openalex.org/W125699335","https://openalex.org/W1489307215","https://openalex.org/W1540645127","https://openalex.org/W1551694406","https://openalex.org/W1674606295","https://openalex.org/W2020552488","https://openalex.org/W2095589793","https://openalex.org/W2096894677"],"related_works":["https://openalex.org/W7098094424","https://openalex.org/W3134122519","https://openalex.org/W7015363347","https://openalex.org/W2167110167","https://openalex.org/W2804637068","https://openalex.org/W7096503260","https://openalex.org/W7165857618","https://openalex.org/W7097552194","https://openalex.org/W7100057260","https://openalex.org/W7048373984"],"abstract_inverted_index":{"Most":[0],"of":[1,43,49],"the":[2,7,15,27,33,47,58,64,108,118],"proposals":[3],"for":[4,21,69,107],"semantics":[5,87,113],"in":[6,24,78],"Tree":[8],"Adjoining":[9],"Grammar":[10],"(TAG)":[11],"framework":[12],"suppose":[13],"that":[14,84,104,110],"derivation":[16,28,60,96,119],"tree":[17,29,61],"serves":[18],"as":[19,51,67],"basis":[20,68],"semantics.":[22,70],"However,":[23],"some":[25],"cases":[26,103],"does":[30],"not":[31],"provide":[32],"semantic":[34],"links":[35],"one":[36,42],"needs.":[37],"This":[38,71],"paper":[39,54],"concentrates":[40],"on":[41,117],"these":[44],"cases,":[45],"namely":[46],"analysis":[48],"quantifiers":[50],"adjuncts.":[52],"The":[53,94],"proposes":[55],"to":[56,73,100],"enrich":[57],"TAG":[59,112],"and":[62],"use":[63],"resulting":[65],"structure":[66,97],"allows":[72,98],"deal":[74],"with":[75,88],"quantifiers,":[76],"even":[77],"PPs":[79],"embedded":[80],"into":[81],"NPs,":[82],"such":[83],"an":[85],"adequate":[86],"appropriate":[89],"scope":[90],"orders":[91],"is":[92],"obtained.":[93],"enriched":[95],"also":[99],"treat":[101],"other":[102],"are":[105],"problematic":[106],"assumption":[109],"a":[111],"can":[114],"be":[115],"based":[116],"tree.":[120]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-09-12T09:15:50.089291","created_date":"2016-06-24T00:00:00"}
