{"id":"https://openalex.org/W2251325368","doi":"https://doi.org/10.3115/v1/e14-1059","title":"Discriminating Rhetorical Analogies in Social Media","display_name":"Discriminating Rhetorical Analogies in Social Media","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251325368","doi":"https://doi.org/10.3115/v1/e14-1059","mag":"2251325368"},"language":"en","primary_location":{"id":"doi:10.3115/v1/e14-1059","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1059","pdf_url":"https://aclanthology.org/E14-1059.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 Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/E14-1059.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046098108","display_name":"Christoph Lofi","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]},{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["DE","JP"],"is_corresponding":true,"raw_author_name":"Christoph Lofi","raw_affiliation_strings":["National Inst. of Informatics TU Braunschweig National Inst. of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan M\u00fchlenpfordtstr. 23 38106 Braunschweig Germany","-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan"],"affiliations":[{"raw_affiliation_string":"National Inst. of Informatics TU Braunschweig National Inst. of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan M\u00fchlenpfordtstr. 23 38106 Braunschweig Germany","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I94509681"]},{"raw_affiliation_string":"-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan","institution_ids":["https://openalex.org/I111428342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044148806","display_name":"Christian Nieke","orcid":null},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]},{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["DE","JP"],"is_corresponding":false,"raw_author_name":"Christian Nieke","raw_affiliation_strings":["-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan","National Inst. of Informatics TU Braunschweig National Inst. of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan M\u00fchlenpfordtstr. 23 38106 Braunschweig Germany"],"affiliations":[{"raw_affiliation_string":"-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan","institution_ids":["https://openalex.org/I111428342"]},{"raw_affiliation_string":"National Inst. of Informatics TU Braunschweig National Inst. of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan M\u00fchlenpfordtstr. 23 38106 Braunschweig Germany","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073413742","display_name":"Nigel Collier","orcid":"https://orcid.org/0000-0002-7230-4164"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]},{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE","JP"],"is_corresponding":false,"raw_author_name":"Nigel Collier","raw_affiliation_strings":["-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan","National Inst. of Informatics TU Braunschweig National Inst. of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan M\u00fchlenpfordtstr. 23 38106 Braunschweig Germany"],"affiliations":[{"raw_affiliation_string":"-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan","institution_ids":["https://openalex.org/I111428342"]},{"raw_affiliation_string":"National Inst. of Informatics TU Braunschweig National Inst. of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan M\u00fchlenpfordtstr. 23 38106 Braunschweig Germany","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046098108"],"corresponding_institution_ids":["https://openalex.org/I111428342","https://openalex.org/I184597095","https://openalex.org/I94509681"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82085129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"560","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9973000288009644,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.7888638377189636},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.6045063138008118},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5525177717208862},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.5480305552482605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5450260639190674},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5338348746299744},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5123602151870728},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4947583079338074},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.48549726605415344},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.45508864521980286},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.43730834126472473},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41323572397232056},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33614885807037354},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27330493927001953},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1259785294532776},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0981946587562561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888638377189636},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.6045063138008118},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5525177717208862},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.5480305552482605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450260639190674},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5338348746299744},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5123602151870728},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4947583079338074},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.48549726605415344},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.45508864521980286},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.43730834126472473},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41323572397232056},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33614885807037354},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27330493927001953},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1259785294532776},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0981946587562561},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/e14-1059","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1059","pdf_url":"https://aclanthology.org/E14-1059.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 Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/e14-1059","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1059","pdf_url":"https://aclanthology.org/E14-1059.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 Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251325368.pdf","grobid_xml":"https://content.openalex.org/works/W2251325368.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W91268135","https://openalex.org/W574417786","https://openalex.org/W583691079","https://openalex.org/W632224533","https://openalex.org/W1508977358","https://openalex.org/W1582529697","https://openalex.org/W1640287562","https://openalex.org/W1970381522","https://openalex.org/W2024754409","https://openalex.org/W2026161499","https://openalex.org/W2035701280","https://openalex.org/W2055289026","https://openalex.org/W2068737686","https://openalex.org/W2125055259","https://openalex.org/W2128053456","https://openalex.org/W2134570361","https://openalex.org/W2142086811","https://openalex.org/W2146882220","https://openalex.org/W2147694185","https://openalex.org/W2153635508","https://openalex.org/W2159495802","https://openalex.org/W2163362093","https://openalex.org/W2164037733","https://openalex.org/W2232672941","https://openalex.org/W2475891679","https://openalex.org/W2759336060","https://openalex.org/W2989631226","https://openalex.org/W3120421331","https://openalex.org/W4229954498","https://openalex.org/W4246980150","https://openalex.org/W4298035999","https://openalex.org/W4300450573","https://openalex.org/W6616509125","https://openalex.org/W6617122623","https://openalex.org/W6634771012","https://openalex.org/W6656844738","https://openalex.org/W6678980122","https://openalex.org/W6744563477"],"related_works":["https://openalex.org/W2392206215","https://openalex.org/W2365201483","https://openalex.org/W2355561779","https://openalex.org/W2352407775","https://openalex.org/W108701362","https://openalex.org/W2186567693","https://openalex.org/W2469799552","https://openalex.org/W2768582344","https://openalex.org/W28964973","https://openalex.org/W2615704157"],"abstract_inverted_index":{"Analogies":[0],"are":[1,16,38],"considered":[2],"to":[3,118,121,124],"be":[4],"one":[5],"of":[6,10,33,36,43,49,128],"the":[7,34,41,67,80],"core":[8],"concepts":[9],"human":[11],"cognition":[12],"and":[13,15,61,79],"communication,":[14],"very":[17],"efficient":[18],"at":[19],"encoding":[20],"complex":[21],"information":[22],"in":[23],"a":[24,57,100,105,125,134],"natural":[25],"fashion.":[26],"However,":[27],"computational":[28],"approaches":[29],"towards":[30],"largescale":[31],"analysis":[32],"semantics":[35],"analogies":[37,71,123],"hampered":[39],"by":[40,132],"lack":[42],"suitable":[44,106],"corpora":[45],"with":[46],"real-life":[47],"example":[48],"analogies.":[50],"In":[51],"this":[52,85,111],"paper":[53],"we":[54,87,94],"therefore":[55],"propose":[56],"workflow":[58,102],"for":[59,103,110],"discriminating":[60],"extracting":[62],"natural-language":[63],"analogy":[64],"statements":[65],"from":[66,75],"Web,":[68],"focusing":[69],"on":[70],"between":[72],"locations":[73],"mined":[74],"travel":[76],"reports,":[77],"blogs,":[78],"Social":[81],"Web.":[82],"For":[83],"realizing":[84],"goal,":[86],"employ":[88],"feature-rich":[89],"supervised":[90],"learning":[91],"models":[92],"which":[93],"extensively":[95],"evaluate.":[96],"We":[97],"also":[98],"showcase":[99],"crowd-supported":[101],"building":[104],"Gold":[107],"dataset":[108],"used":[109],"purpose.":[112],"The":[113],"resulting":[114],"system":[115],"is":[116],"able":[117],"successfully":[119],"learn":[120],"identify":[122],"high":[126],"degree":[127],"accuracy":[129],"(F-Score":[130],"0.9)":[131],"using":[133],"high-dimensional":[135],"subsequence":[136],"feature":[137],"space.":[138]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}