{"id":"https://openalex.org/W2158187543","doi":"https://doi.org/10.1007/978-3-540-78469-2_22","title":"Using ILP to Construct Features for Information Extraction from Semi-structured Text","display_name":"Using ILP to Construct Features for Information Extraction from Semi-structured Text","publication_year":2008,"publication_date":"2008-02-22","ids":{"openalex":"https://openalex.org/W2158187543","doi":"https://doi.org/10.1007/978-3-540-78469-2_22","mag":"2158187543"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-78469-2_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78469-2_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089606464","display_name":"Ganesh Ramakrishnan","orcid":"https://orcid.org/0000-0003-4533-2490"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganesh Ramakrishnan","raw_affiliation_strings":["IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102334232","display_name":"Sachindra Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachindra Joshi","raw_affiliation_strings":["IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sreeram Balakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sreeram Balakrishnan","raw_affiliation_strings":["IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059922866","display_name":"A. Srinivasan","orcid":"https://orcid.org/0000-0003-3003-7288"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["AU","IN"],"is_corresponding":false,"raw_author_name":"Ashwin Srinivasan","raw_affiliation_strings":["Dept. of CSE & Centre for Health Informatics, University of New Kensington, Sydney, Australia","IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSE & Centre for Health Informatics, University of New Kensington, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"IBM India Research Laboratory, Block 1, Indian Institute of Technology, New Delhi, 110016, India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.259,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.80555235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9962000250816345,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9868999719619751,"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/construct","display_name":"Construct (python library)","score":0.8636593222618103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297186255455017},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.6692544221878052},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6518714427947998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5775891542434692},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5031656622886658},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4873128831386566},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4849138855934143},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3876500427722931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3754993677139282},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35791483521461487},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17298480868339539}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.8636593222618103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297186255455017},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.6692544221878052},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6518714427947998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5775891542434692},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5031656622886658},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4873128831386566},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4849138855934143},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3876500427722931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3754993677139282},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35791483521461487},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17298480868339539},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-78469-2_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78469-2_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.132.9035","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.9035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ftp.cs.wisc.edu/machine-learning/shavlik-group/ilp07wip/ilp07_ramakrishnan.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W62735629","https://openalex.org/W73274768","https://openalex.org/W240701929","https://openalex.org/W1481380554","https://openalex.org/W1484413656","https://openalex.org/W1497782867","https://openalex.org/W1505083828","https://openalex.org/W1506285740","https://openalex.org/W1524234997","https://openalex.org/W1537312987","https://openalex.org/W1540480235","https://openalex.org/W1545331097","https://openalex.org/W1550206324","https://openalex.org/W1552501597","https://openalex.org/W1594962278","https://openalex.org/W1784514558","https://openalex.org/W1987902506","https://openalex.org/W1999595522","https://openalex.org/W2002664886","https://openalex.org/W2018560257","https://openalex.org/W2081580037","https://openalex.org/W2087347434","https://openalex.org/W2089933214","https://openalex.org/W2129712609","https://openalex.org/W2135843243","https://openalex.org/W2143349571","https://openalex.org/W2147880316","https://openalex.org/W2152212406","https://openalex.org/W2155925463","https://openalex.org/W2169042011","https://openalex.org/W2201604718","https://openalex.org/W2497826135","https://openalex.org/W2502258425","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2978856588","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W182876327","https://openalex.org/W2367318538","https://openalex.org/W2068844411"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}