{"id":"https://openalex.org/W7164738316","doi":"https://doi.org/10.5715/jnlp.33.920","title":"LLM-Based Dependency Parsing with Step-by-Step Instructions and a Simple Tabular Output","display_name":"LLM-Based Dependency Parsing with Step-by-Step Instructions and a Simple Tabular Output","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164738316","doi":"https://doi.org/10.5715/jnlp.33.920"},"language":"en","primary_location":{"id":"doi:10.5715/jnlp.33.920","is_oa":true,"landing_page_url":"https://doi.org/10.5715/jnlp.33.920","pdf_url":"https://www.jstage.jst.go.jp/article/jnlp/33/2/33_920/_pdf","source":{"id":"https://openalex.org/S4210212357","display_name":"Journal of Natural Language Processing","issn_l":"1340-7619","issn":["1340-7619","2185-8314"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Natural Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/jnlp/33/2/33_920/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138600059","display_name":"Hiroshi Matsuda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156029","display_name":"MEI Technologies (United States)","ror":"https://ror.org/057mm6758","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156029"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroshi Matsuda","raw_affiliation_strings":["Megagon Labs, Recruit Co., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megagon Labs, Recruit Co., LTD","institution_ids":["https://openalex.org/I4210156029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101805835","display_name":"Chunpeng Ma","orcid":"https://orcid.org/0000-0002-5454-739X"},"institutions":[{"id":"https://openalex.org/I4210156029","display_name":"MEI Technologies (United States)","ror":"https://ror.org/057mm6758","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156029"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunpeng Ma","raw_affiliation_strings":["Megagon Labs, Recruit Co., LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megagon Labs, Recruit Co., LTD","institution_ids":["https://openalex.org/I4210156029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002196974","display_name":"Masayuki Asahara","orcid":"https://orcid.org/0000-0002-5178-7275"},"institutions":[{"id":"https://openalex.org/I4210117430","display_name":"National Institute for Japanese Language and Linguistics","ror":"https://ror.org/02caqc891","country_code":"JP","type":"other","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210117430","https://openalex.org/I4210148627"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Asahara","raw_affiliation_strings":["National Institute for Japanese Language and Linguistics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute for Japanese Language and Linguistics","institution_ids":["https://openalex.org/I4210117430"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.61741327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"2","first_page":"920","last_page":"956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.770799994468689,"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":0.770799994468689,"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":0.04989999905228615,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.02239999920129776,"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/simple","display_name":"Simple (philosophy)","score":0.5608999729156494},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4749000072479248},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.27889999747276306},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.25839999318122864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166000008583069},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5608999729156494},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.366100013256073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3582000136375427},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3569999933242798},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5715/jnlp.33.920","is_oa":true,"landing_page_url":"https://doi.org/10.5715/jnlp.33.920","pdf_url":"https://www.jstage.jst.go.jp/article/jnlp/33/2/33_920/_pdf","source":{"id":"https://openalex.org/S4210212357","display_name":"Journal of Natural Language Processing","issn_l":"1340-7619","issn":["1340-7619","2185-8314"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Natural Language Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5715/jnlp.33.920","is_oa":true,"landing_page_url":"https://doi.org/10.5715/jnlp.33.920","pdf_url":"https://www.jstage.jst.go.jp/article/jnlp/33/2/33_920/_pdf","source":{"id":"https://openalex.org/S4210212357","display_name":"Journal of Natural Language Processing","issn_l":"1340-7619","issn":["1340-7619","2185-8314"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Natural Language Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7164738316.pdf","grobid_xml":"https://content.openalex.org/works/W7164738316.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb":[0],"(LLM)":[1],"\u306f\u591a\u69d8\u306a\u30bf\u30b9\u30af\u3067\u9ad8\u3044\u6027\u80fd\u3092\u793a\u3057\u3066\u3044\u308b\u304c\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u57fa\u790e\u30bf\u30b9\u30af\u3067\u3042\u308b\u4f9d\u5b58\u69cb\u9020\u89e3\u6790\u3067\u306f\uff0c\u69cb\u9020\u7684\u306b\u59a5\u5f53\u304b\u3064\u9ad8\u7cbe\u5ea6\u306a\u89e3\u6790\u7d50\u679c\u3092\u5f97\u308b\u3053\u3068\u304c\u96e3\u3057\u3044\uff0e\u672c\u7814\u7a76\u3067\u306f\uff0cLLM\u3092\u7528\u3044\u305f\u4f9d\u5b58\u69cb\u9020\u89e3\u6790\u306b\u304a\u3044\u3066\uff0cUD\u54c1\u8a5e\u63a8\u5b9a\uff0c\u4e3b\u8f9e\u5224\u5b9a\uff0c\u4f9d\u5b58\u95a2\u4fc2\u30e9\u30d9\u30eb\u63a8\u5b9a\u306e\u5404\u51e6\u7406\u3092\u30b9\u30c6\u30c3\u30d7\u5316\u3057\u305f\u6bb5\u968e\u7684\u6307\u793a\u30d7\u30ed\u30f3\u30d7\u30c8\u3068\uff0cUniversal":[2],"Dependencies":[3],"(UD)":[4],"\u306e\u6a19\u6e96\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306eCoNLL-U\u3092\u7c21\u7565\u5316\u3057\u305f\u8868\u5f62\u5f0f\u51fa\u529b\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u4f9d\u5b58\u69cb\u9020\u89e3\u6790\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u3092UD\u306e17\u8a00\u8a9e\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u3066\u6b63\u89e3\u5358\u8a9e\u5206\u5272\u3092\u5165\u529b\u3067\u4e0e\u3048\u308b\u8a2d\u5b9a\u3067\u8a55\u4fa1\u3057\u305f\u7d50\u679c\uff0c\u63d0\u6848\u624b\u6cd5\u306fLabeled":[5],"Attachment":[6],"Score":[7],"(LAS)":[8],"\u306b\u304a\u3044\u3066\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u309215\u8a00\u8a9e\u3067\u4e0a\u56de\u308a\uff0c17\u8a00\u8a9e\u306e\u30de\u30af\u30ed\u5e73\u5747\u3067\u306fLAS\u3067\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u30920.4\u30dd\u30a4\u30f3\u30c8\u4e0a\u56de\u3063\u305f\uff0e\u591a\u8a00\u8a9e\u5b66\u7fd2\u5b9f\u9a13\u306e\u7d50\u679c\u304b\u3089\uff0c\u8a00\u8a9e\u9593\u306e\u4e00\u822c\u5316\u306e\u4f5c\u7528\u306e\u5b58\u5728\u304c\u793a\u5506\u3055\u308c\u305f\uff0e\u4e00\u65b9\uff0c\u6bb5\u968e\u7684\u6307\u793a\u3067\u5bfe\u8a71\u6587\u8108\u304c\u9577\u304f\u306a\u308b\u3053\u3068\u306b\u3088\u308a\uff0c\u30b9\u30eb\u30fc\u30d7\u30c3\u30c8\u306f\u4f4e\u4e0b\u3057\u305f\uff0e\u4e00\u822c\u306b\uff0cLLM\u3092\u7528\u3044\u305f\u624b\u6cd5\u306e\u6027\u80fd\u8a55\u4fa1\u3067\u306f\uff0c\u4e8b\u524d\u5b66\u7fd2\u904e\u7a0b\u3067\u306e\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306e\u6df7\u5165\u304c\u6027\u80fd\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u3053\u3068\u304c\u61f8\u5ff5\u3055\u308c\u308b\u304c\uff0c\u672c\u7814\u7a76\u306e\u5b9f\u9a13\u3067\u7528\u3044\u308b\u30d9\u30fc\u30b9\u30e2\u30c7\u30eb\u306b\u3064\u3044\u3066\u306f\uff0c\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306e\u6df7\u5165\u306b\u3088\u308b\u89e3\u6790\u7cbe\u5ea6\u3078\u306e\u660e\u78ba\u306a\u5f71\u97ff\u306f\u78ba\u8a8d\u3055\u308c\u306a\u304b\u3063\u305f\uff0e\u3053\u308c\u3089\u306e\u7d50\u679c\u306f\uff0cLLM\u306b\u3088\u308b\u4f9d\u5b58\u69cb\u9020\u89e3\u6790\u3067\u6bb5\u968e\u7684\u6307\u793a\u3068\u8868\u5f62\u5f0f\u51fa\u529b\u3092\u7528\u3044\u308b\u3053\u3068\u306e\u6709\u52b9\u6027\u3092\u793a\u3059\u3082\u306e\u3067\u3042\u308b\uff0e\u307e\u305f\uff0c\u95a2\u9023\u7814\u7a76\u3067\u53d6\u308a\u4e0a\u3052\u305fU-DepPLLaMA\u306e\u516c\u958b\u5b9f\u88c5\u306f\uff0c\u7cbe\u5ea6\u6307\u6a19\u3068\u3057\u3066\uff08\u6697\u9ed9\u7684\u306b\uff09\u9069\u5408\u7387\u3092\u7528\u3044\u3066\u304a\u308a\uff0c\u4ed6\u306e\u624b\u6cd5\u306eF1\u5024\u306b\u3088\u308b\u8a55\u4fa1\u7d50\u679c\u3068\u6b63\u5f53\u306a\u6bd4\u8f03\u304c\u3067\u304d\u306a\u3044\u3068\u5224\u65ad\u3057\uff0cU-DepPLLaMA\u3068\u540c\u7b49\u306e\u8868\u73fe\u5f62\u5f0f\u3092\u7528\u3044\u305f\u5b9f\u9a13\u3092\u63d0\u6848\u624b\u6cd5\u306e\u52d5\u4f5c\u74b0\u5883\u3067\u5b9f\u65bd\u3059\u308b\u3053\u3068\u3067\u4ee3\u66ff\u3057\u305f\uff0e\u3053\u308c\u3089\u306e\u5909\u66f4\u306f\uff0c\u672c\u7814\u7a76\u306e\u5b9f\u9a13\u7d50\u679c\u306e\u5ba2\u89b3\u6027\u3092\u3088\u308a\u9ad8\u3081\u308b\u305f\u3081\u306e\u3082\u306e\u3067\u3042\u308b\uff0e":[9]},"counts_by_year":[],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2026-06-15T00:00:00"}