{"id":"https://openalex.org/W2970533678","doi":"https://doi.org/10.18653/v1/d19-1182","title":"Deep Ordinal Regression for Pledge Specificity Prediction","display_name":"Deep Ordinal Regression for Pledge Specificity Prediction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970533678","doi":"https://doi.org/10.18653/v1/d19-1182","mag":"2970533678"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1182","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1182","pdf_url":"https://www.aclweb.org/anthology/D19-1182.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1182.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109431455","display_name":"Shivashankar Subramanian","orcid":"https://orcid.org/0000-0002-7548-5271"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shivashankar Subramanian","raw_affiliation_strings":["School of Computing and Information Systems The University of Melbourne"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems The University of Melbourne","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078530959","display_name":"Trevor Cohn","orcid":"https://orcid.org/0000-0003-4363-1673"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trevor Cohn","raw_affiliation_strings":["School of Computing and Information Systems The University of Melbourne"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems The University of Melbourne","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060332228","display_name":"Timothy Baldwin","orcid":"https://orcid.org/0000-0003-4525-6950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timothy Baldwin","raw_affiliation_strings":["School of Computing and Information Systems The University of Melbourne"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems The University of Melbourne","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109431455"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80404492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1729","last_page":"1740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.995199978351593,"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":0.9916999936103821,"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/pledge","display_name":"Pledge","score":0.8793825507164001},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.821570098400116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6939414739608765},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5546382069587708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.553347110748291},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48551011085510254},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.4428607225418091},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4179459810256958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.311353862285614},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29968351125717163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14476361870765686},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08434885740280151},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06019189953804016}],"concepts":[{"id":"https://openalex.org/C2780643141","wikidata":"https://www.wikidata.org/wiki/Q819049","display_name":"Pledge","level":2,"score":0.8793825507164001},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.821570098400116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939414739608765},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5546382069587708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.553347110748291},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48551011085510254},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.4428607225418091},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4179459810256958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.311353862285614},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29968351125717163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14476361870765686},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08434885740280151},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06019189953804016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1182","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1182","pdf_url":"https://www.aclweb.org/anthology/D19-1182.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1182","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1182","pdf_url":"https://www.aclweb.org/anthology/D19-1182.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970533678.pdf","grobid_xml":"https://content.openalex.org/works/W2970533678.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W136732505","https://openalex.org/W563260154","https://openalex.org/W603423208","https://openalex.org/W1490768968","https://openalex.org/W1505278626","https://openalex.org/W1570759637","https://openalex.org/W1965804146","https://openalex.org/W1998151601","https://openalex.org/W1999374445","https://openalex.org/W2012627227","https://openalex.org/W2037447553","https://openalex.org/W2072894078","https://openalex.org/W2099921486","https://openalex.org/W2103206127","https://openalex.org/W2121811606","https://openalex.org/W2128264120","https://openalex.org/W2141766660","https://openalex.org/W2155259695","https://openalex.org/W2155802349","https://openalex.org/W2157331557","https://openalex.org/W2250243742","https://openalex.org/W2250571530","https://openalex.org/W2261586594","https://openalex.org/W2319130446","https://openalex.org/W2342934368","https://openalex.org/W2368455159","https://openalex.org/W2431080869","https://openalex.org/W2477336465","https://openalex.org/W2489080241","https://openalex.org/W2503645430","https://openalex.org/W2510725918","https://openalex.org/W2551489815","https://openalex.org/W2553156677","https://openalex.org/W2553576544","https://openalex.org/W2560046091","https://openalex.org/W2573519875","https://openalex.org/W2577774310","https://openalex.org/W2606288287","https://openalex.org/W2728253066","https://openalex.org/W2757599232","https://openalex.org/W2891602716","https://openalex.org/W2903757417","https://openalex.org/W2916132663","https://openalex.org/W2945473303","https://openalex.org/W2962739339","https://openalex.org/W2963016882","https://openalex.org/W2963122256","https://openalex.org/W2963527058","https://openalex.org/W2963572185","https://openalex.org/W2963612511","https://openalex.org/W2964057425","https://openalex.org/W2972052008","https://openalex.org/W4220894275","https://openalex.org/W4293579865","https://openalex.org/W4295112453"],"related_works":["https://openalex.org/W4399574212","https://openalex.org/W2798701209","https://openalex.org/W4300104397","https://openalex.org/W2912776266","https://openalex.org/W4399569456","https://openalex.org/W2503289023","https://openalex.org/W4236496007","https://openalex.org/W1539030525","https://openalex.org/W2313068166","https://openalex.org/W1572610764"],"abstract_inverted_index":{"Shivashankar":[0],"Subramanian,":[1],"Trevor":[2],"Cohn,":[3],"Timothy":[4],"Baldwin.":[5],"Proceedings":[6],"of":[7],"the":[8,19],"2019":[9],"Conference":[10,23],"on":[11,24],"Empirical":[12],"Methods":[13],"in":[14],"Natural":[15,25],"Language":[16,26],"Processing":[17,27],"and":[18],"9th":[20],"International":[21],"Joint":[22],"(EMNLP-IJCNLP).":[28],"2019.":[29]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}