{"id":"https://openalex.org/W2740270495","doi":"https://doi.org/10.18653/v1/p17-3015","title":"SoccEval: An Annotation Schema for Rating Soccer Players","display_name":"SoccEval: An Annotation Schema for Rating Soccer Players","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740270495","doi":"https://doi.org/10.18653/v1/p17-3015","mag":"2740270495"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-3015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-3015","pdf_url":"https://www.aclweb.org/anthology/P17-3015.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 ACL 2017, Student Research Workshop","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-3015.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036570555","display_name":"Jos\u00e9 Naranjo Ram\u00edrez","orcid":"https://orcid.org/0000-0002-5898-4191"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jose Ramirez","raw_affiliation_strings":["Department of Computer Science Brandeis University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013079347","display_name":"Matthew Garber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Garber","raw_affiliation_strings":["Department of Computer Science Brandeis University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100772594","display_name":"Xinhao Wang","orcid":"https://orcid.org/0000-0002-0366-7543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinhao Wang","raw_affiliation_strings":["Department of Computer Science Brandeis University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036570555"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06063299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9750999808311462,"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/annotation","display_name":"Annotation","score":0.8941977620124817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689862251281738},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7680797576904297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5200652480125427},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45750972628593445},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4499017000198364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43198710680007935},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3340679407119751}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8941977620124817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689862251281738},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7680797576904297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5200652480125427},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45750972628593445},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4499017000198364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43198710680007935},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3340679407119751}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-3015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-3015","pdf_url":"https://www.aclweb.org/anthology/P17-3015.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 ACL 2017, Student Research Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-3015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-3015","pdf_url":"https://www.aclweb.org/anthology/P17-3015.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 ACL 2017, Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740270495.pdf","grobid_xml":"https://content.openalex.org/works/W2740270495.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1521626219","https://openalex.org/W1999874542","https://openalex.org/W2034059165","https://openalex.org/W2101234009","https://openalex.org/W2626496916"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,18,42,51,89,97],"SoccEval":[4],"Annotation":[5],"Project,":[6],"an":[7],"annotation":[8,52,55,90],"schema":[9,43,53,105],"designed":[10],"to":[11,16,34,88,110],"support":[12],"machine-learning":[13],"classification":[14],"efforts":[15],"evaluate":[17],"performance":[19],"of":[20,99],"soccer":[21,115],"players":[22,116],"based":[23],"on":[24,65,77],"match":[25],"reports":[26],"taken":[27],"from":[28,68],"online":[29],"news":[30],"sources.":[31],"In":[32],"addition":[33],"factual":[35],"information":[36,113],"about":[37,47,114],"player":[38],"attributes":[39],"and":[40,54,92,117],"actions,":[41],"annotates":[44],"subjective":[45],"opinions":[46],"them.":[48],"After":[49],"explaining":[50],"process,":[56],"we":[57],"describe":[58],"a":[59,74],"machine":[60],"learning":[61],"experiment.":[62],"Classifiers":[63],"trained":[64,76],"features":[66],"derived":[67],"annotated":[69],"data":[70,100],"performed":[71],"better":[72],"than":[73],"baseline":[75],"unigram":[78],"features.":[79],"Initial":[80],"results":[81],"suggest":[82],"that":[83],"improvements":[84],"can":[85],"be":[86,107],"made":[87],"scheme":[91],"guidelines":[93],"as":[94,96],"well":[95],"amount":[98],"annotated.":[101],"We":[102],"believe":[103],"our":[104],"could":[106],"potentially":[108],"expanded":[109],"extract":[111],"more":[112],"teams.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
