{"id":"https://openalex.org/W2964225806","doi":"https://doi.org/10.18653/v1/d17-1292","title":"Detecting and Explaining Causes From Text For a Time Series Event","display_name":"Detecting and Explaining Causes From Text For a Time Series Event","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2964225806","doi":"https://doi.org/10.18653/v1/d17-1292","mag":"2964225806"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1292","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1292","pdf_url":"https://www.aclweb.org/anthology/D17-1292.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 2017 Conference on Empirical Methods in Natural Language Processing","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/D17-1292.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040821714","display_name":"Dongyeop Kang","orcid":"https://orcid.org/0000-0002-9021-1789"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongyeop Kang","raw_affiliation_strings":["Language Technology Institute Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022752740","display_name":"Varun Gangal","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Gangal","raw_affiliation_strings":["Language Technology Institute Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041080886","display_name":"Ang Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ang Lu","raw_affiliation_strings":["Language Technology Institute Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370684","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0002-9654-0997"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Language Technology Institute Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060225743","display_name":"Eduard Hovy","orcid":"https://orcid.org/0000-0002-3270-7903"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eduard Hovy","raw_affiliation_strings":["Language Technology Institute Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technology Institute Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9914000034332275,"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":0.9914000034332275,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98089998960495,"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/interpretability","display_name":"Interpretability","score":0.8769036531448364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7768296599388123},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7274553775787354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6411051154136658},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5875204801559448},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5705412030220032},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5563880205154419},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.5469241142272949},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5332861542701721},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47658273577690125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44977590441703796},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.4317706823348999},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.4266735911369324},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.41444239020347595},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.39718419313430786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11724936962127686},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10965278744697571}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8769036531448364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768296599388123},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7274553775787354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6411051154136658},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5875204801559448},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5705412030220032},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5563880205154419},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.5469241142272949},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5332861542701721},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47658273577690125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44977590441703796},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.4317706823348999},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.4266735911369324},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.41444239020347595},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.39718419313430786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11724936962127686},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10965278744697571},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1292","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1292","pdf_url":"https://www.aclweb.org/anthology/D17-1292.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1292","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1292","pdf_url":"https://www.aclweb.org/anthology/D17-1292.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 2017 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964225806.pdf","grobid_xml":"https://content.openalex.org/works/W2964225806.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W53390990","https://openalex.org/W86588477","https://openalex.org/W101786867","https://openalex.org/W177347127","https://openalex.org/W1811279891","https://openalex.org/W1840435438","https://openalex.org/W1880262756","https://openalex.org/W2022204871","https://openalex.org/W2024472792","https://openalex.org/W2033390084","https://openalex.org/W2118718620","https://openalex.org/W2130158090","https://openalex.org/W2133564696","https://openalex.org/W2141755733","https://openalex.org/W2142321231","https://openalex.org/W2143428876","https://openalex.org/W2209967150","https://openalex.org/W2250494780","https://openalex.org/W2250836121","https://openalex.org/W2251358367","https://openalex.org/W2270244898","https://openalex.org/W2413794162","https://openalex.org/W2523467643","https://openalex.org/W2571747590","https://openalex.org/W2962958286","https://openalex.org/W2963419548","https://openalex.org/W4213168938","https://openalex.org/W4294170691","https://openalex.org/W4297803820"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W4386607580","https://openalex.org/W4385488510","https://openalex.org/W4226395026","https://openalex.org/W2294020355","https://openalex.org/W4312761939","https://openalex.org/W137635473","https://openalex.org/W4285265874"],"abstract_inverted_index":{"Explaining":[0],"underlying":[1],"causes":[2],"or":[3],"effects":[4],"about":[5],"events":[6],"is":[7],"a":[8,15,22,43,60,93,116],"challenging":[9],"but":[10],"valuable":[11],"task.":[12],"We":[13],"define":[14],"novel":[16,61],"problem":[17],"of":[18,21,33,68,86,89],"generating":[19],"explanations":[20],"time":[23,35,69,148],"series":[24,36,70,149],"event":[25],"by":[26],"(1)":[27],"searching":[28],"cause":[29,129],"and":[30,40,81,105,112,133,153],"effect":[31],"relationships":[32,146],"the":[34,65,87,127],"with":[37,98,150],"textual":[38,151],"data":[39],"(2)":[41],"constructing":[42],"connecting":[44],"chain":[45],"between":[46,71,147,157],"them":[47],"to":[48,125],"generate":[49],"an":[50],"explanation.":[51],"To":[52,101],"detect":[53],"causal":[54,90,123],"features":[55,72,152],"from":[56,74],"text,":[57],"we":[58,109],"propose":[59],"method":[62,141],"based":[63],"on":[64,121],"Granger":[66],"causality":[67,145],"extracted":[73],"text":[75],"such":[76],"as":[77],"N-grams,":[78],"topics,":[79],"sentiments,":[80],"their":[82],"composition.":[83],"The":[84],"generation":[85],"sequence":[88],"entities":[91],"requires":[92],"commonsense":[94,122],"causative":[95],"knowledge":[96],"base":[97],"efficient":[99],"reasoning.":[100],"ensure":[102],"good":[103],"interpretability":[104],"appropriate":[106,155],"lexical":[107],"usage":[108],"combine":[110],"symbolic":[111],"neural":[113,117],"representations,":[114],"using":[115],"reasoning":[118],"algorithm":[119],"trained":[120],"tuples":[124],"predict":[126],"next":[128],"step.":[130],"Our":[131],"quantitative":[132],"human":[134],"analysis":[135],"show":[136],"empirical":[137],"evidence":[138],"that":[139],"our":[140],"successfully":[142],"extracts":[143],"meaningful":[144],"generates":[154],"explanation":[156],"them.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
