{"id":"https://openalex.org/W2908375517","doi":"https://doi.org/10.3233/978-1-61499-935-5-210","title":"Query Generation for Patent Retrieval with Keyword Extraction Based on Syntactic Features","display_name":"Query Generation for Patent Retrieval with Keyword Extraction Based on Syntactic Features","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2908375517","doi":"https://doi.org/10.3233/978-1-61499-935-5-210","mag":"2908375517"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-935-5-210","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-935-5-210","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dare.uva.nl/personal/pure/en/publications/query-generation-for-patent-retrieval-with-keyword-extraction-based-on-syntactic-features(36860c31-195f-4ff7-a053-2bdacaab3f6f).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001721772","display_name":"Julien Rossi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rossi Julien","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kanoulas Evangelos","orcid":null},"institutions":[{"id":"https://openalex.org/I95056601","display_name":"Actelion (Switzerland)","ror":"https://ror.org/001yedb91","country_code":"CH","type":"company","lineage":["https://openalex.org/I95056601"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Kanoulas Evangelos","raw_affiliation_strings":["Actelion (Switzerland), Allschwil, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Actelion (Switzerland), Allschwil, Switzerland","institution_ids":["https://openalex.org/I95056601"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5393,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77157594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9763000011444092,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9763000011444092,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9020000100135803,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6812945604324341},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6528457403182983},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4516918659210205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37006932497024536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812945604324341},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6528457403182983},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4516918659210205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37006932497024536}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3233/978-1-61499-935-5-210","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-935-5-210","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/36860c31-195f-4ff7-a053-2bdacaab3f6f","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/query-generation-for-patent-retrieval-with-keyword-extraction-based-on-syntactic-features(36860c31-195f-4ff7-a053-2bdacaab3f6f).html","pdf_url":"https://dare.uva.nl/personal/pure/en/publications/query-generation-for-patent-retrieval-with-keyword-extraction-based-on-syntactic-features(36860c31-195f-4ff7-a053-2bdacaab3f6f).html","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"},{"id":"pmh:oai:dare.uva.nl:publications/36860c31-195f-4ff7-a053-2bdacaab3f6f","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/query-generation-for-patent-retrieval-with-keyword-extraction-based-on-syntactic-features(36860c31-195f-4ff7-a053-2bdacaab3f6f).html","pdf_url":"http://hdl.handle.net/11245.1/36860c31-195f-4ff7-a053-2bdacaab3f6f","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rossi, J & Kanoulas, E 2018, Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features. in M Palmirani (ed.), Legal Knowledge and Information Systems : JURIX 2018: The Thirty-first Annual Conference. Frontiers in Artificial Intelligence and Aplications, vol. 313, Amsterdam, pp. 210-214, JURIX 2018 : 31st International Conference on Legal Knowledge and Information Systems, Groningen, Netherlands, 12/12/18. https://doi.org/10.3233/978-1-61499-935-5-210","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2908375517","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.07591.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/36860c31-195f-4ff7-a053-2bdacaab3f6f","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/query-generation-for-patent-retrieval-with-keyword-extraction-based-on-syntactic-features(36860c31-195f-4ff7-a053-2bdacaab3f6f).html","pdf_url":"https://dare.uva.nl/personal/pure/en/publications/query-generation-for-patent-retrieval-with-keyword-extraction-based-on-syntactic-features(36860c31-195f-4ff7-a053-2bdacaab3f6f).html","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2908375517.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,32,52,56],"new":[4],"method":[5,30,79],"to":[6,45,50],"extract":[7],"relevant":[8],"keywords":[9,68,75],"from":[10],"patent":[11],"claims,":[12],"as":[13,55,81],"part":[14],"of":[15,18,35,39,59,66],"the":[16,36,40,64],"task":[17],"retrieving":[19],"other":[20],"patents":[21],"with":[22,42,77],"similar":[23],"claims":[24,41],"(search":[25],"for":[26],"prior":[27],"art).":[28],"The":[29],"combines":[31],"qualitative":[33],"analysis":[34],"writing":[37],"style":[38],"NLP":[43],"methods":[44],"parse":[46],"text,":[47],"in":[48],"order":[49],"represent":[51],"legal":[53],"text":[54],"specialization":[57],"arborescence":[58],"terms.":[60],"In":[61],"this":[62],"setting,":[63],"set":[65],"extracted":[67,76],"are":[69],"yielding":[70],"better":[71],"search":[72],"results":[73],"than":[74],"traditional":[78],"such":[80],"tf-idf.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}