{"id":"https://openalex.org/W2251130204","doi":"https://doi.org/10.3115/v1/n15-3007","title":"ICE: Rapid Information Extraction Customization for NLP Novices","display_name":"ICE: Rapid Information Extraction Customization for NLP Novices","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251130204","doi":"https://doi.org/10.3115/v1/n15-3007","mag":"2251130204"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-3007","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3007","pdf_url":"https://aclanthology.org/N15-3007.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/N15-3007.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101585745","display_name":"Yifan He","orcid":"https://orcid.org/0000-0002-9171-3502"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yifan He","raw_affiliation_strings":["New York University**"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University**","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004580149","display_name":"Ralph Grishman","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ralph Grishman","raw_affiliation_strings":["New York University**"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University**","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101585745"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":3.1163,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93037618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9976000189781189,"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":0.794224739074707},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7780896425247192},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6726062297821045},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.585724949836731},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.507434070110321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5047391653060913},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45611047744750977},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4119677245616913},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24524155259132385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794224739074707},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7780896425247192},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6726062297821045},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.585724949836731},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.507434070110321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5047391653060913},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45611047744750977},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4119677245616913},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24524155259132385},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/n15-3007","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3007","pdf_url":"https://aclanthology.org/N15-3007.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-3007","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3007","pdf_url":"https://aclanthology.org/N15-3007.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251130204.pdf"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1495406744","https://openalex.org/W2099020853","https://openalex.org/W2103931177","https://openalex.org/W2128955272","https://openalex.org/W2150238729","https://openalex.org/W2188437695","https://openalex.org/W2251461502","https://openalex.org/W2252132648"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2593798266","https://openalex.org/W2368651715"],"abstract_inverted_index":{"We":[0],"showcase":[1],"ICE,":[2],"an":[3,12],"Integrated":[4],"Customization":[5],"Environment":[6],"for":[7,15,24],"Information":[8],"Extraction.":[9],"ICE":[10],"is":[11],"easy":[13],"tool":[14],"non-NLP":[16],"experts":[17],"to":[18],"rapidly":[19],"build":[20],"customized":[21],"IE":[22],"systems":[23],"a":[25],"new":[26],"domain.":[27]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
