{"id":"https://openalex.org/W2566230133","doi":"https://doi.org/10.18653/v1/w16-6617","title":"Evaluative Pattern Extraction for Automated Text Generation","display_name":"Evaluative Pattern Extraction for Automated Text Generation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2566230133","doi":"https://doi.org/10.18653/v1/w16-6617","mag":"2566230133"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-6617","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-6617","pdf_url":"https://www.aclweb.org/anthology/W16-6617.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 9th International Natural Language Generation conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W16-6617.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039039221","display_name":"Chia\u2010Chen Lee","orcid":"https://orcid.org/0000-0002-4640-142X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210150104","display_name":"Institute of Linguistics, Academia Sinica","ror":"https://ror.org/05r183591","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210150104","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Chen Lee","raw_affiliation_strings":["Graduate Institute of Linguistics, National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Linguistics, National Taiwan University","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210150104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059604503","display_name":"Shu\u2010Kai Hsieh","orcid":"https://orcid.org/0000-0001-9674-1249"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210150104","display_name":"Institute of Linguistics, Academia Sinica","ror":"https://ror.org/05r183591","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210150104","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Kai HSIEH","raw_affiliation_strings":["Graduate Institute of Linguistics, National Taiwan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Linguistics, National Taiwan University","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210150104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9952999949455261,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8450249433517456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7495989799499512},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6341137290000916},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5900455713272095},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5524333715438843},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5164875984191895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126761198043823},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4842233657836914},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4595256447792053},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.45730382204055786},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.45318126678466797},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.442484974861145},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.43616536259651184}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8450249433517456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495989799499512},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6341137290000916},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5900455713272095},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5524333715438843},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5164875984191895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126761198043823},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4842233657836914},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4595256447792053},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.45730382204055786},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.45318126678466797},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.442484974861145},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.43616536259651184},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w16-6617","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-6617","pdf_url":"https://www.aclweb.org/anthology/W16-6617.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 9th International Natural Language Generation conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-6617","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-6617","pdf_url":"https://www.aclweb.org/anthology/W16-6617.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 9th International Natural Language Generation conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2566230133.pdf","grobid_xml":"https://content.openalex.org/works/W2566230133.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W171130554","https://openalex.org/W1599835099","https://openalex.org/W1985610876","https://openalex.org/W2013569814","https://openalex.org/W2021034890","https://openalex.org/W2070016268","https://openalex.org/W2094270587","https://openalex.org/W2097187535","https://openalex.org/W2491147144","https://openalex.org/W2752672336","https://openalex.org/W2963394628","https://openalex.org/W4388122672","https://openalex.org/W6635953496","https://openalex.org/W6857466662","https://openalex.org/W7055622393"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W2003578783"],"abstract_inverted_index":{"Getting":[0],"travel":[1,19,56,72],"tips":[2],"from":[3],"the":[4,14,18,22,63,67],"experienced":[5],"bloggers":[6,73],"and":[7,35],"online":[8,55,71],"forums":[9],"has":[10],"been":[11],"one":[12],"of":[13],"important":[15],"supplements":[16],"to":[17,75],"guidebook":[20],"in":[21,54,58,80,85],"web":[23],"society.":[24],"In":[25],"this":[26],"paper":[27],"we":[28],"present":[29],"a":[30,40],"novel":[31],"approach":[32],"by":[33],"identifying":[34],"extracting":[36],"evaluative":[37,46],"patterns,":[38],"providing":[39],"different":[41],"linguistically-motivated":[42],"framework":[43],"for":[44],"automated":[45],"text":[47],"generation.":[48],"We":[49],"target":[50],"at":[51],"domain-specific":[52],"observation":[53],"blogs":[57],"Chinese.":[59],"Results":[60],"suggest":[61],"that":[62,70],"semantic":[64],"prosody":[65],"accompanying":[66],"patterns":[68],"demonstrates":[69],"prefer":[74],"employ":[76],"tacit":[77],"pragmatic":[78],"strategy":[79],"presenting":[81],"their":[82],"sentiment":[83],"polarity":[84],"comments.":[86]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}