{"id":"https://openalex.org/W2401657145","doi":null,"title":"Machine reading: a Killer app for statistical relational AI","display_name":"Machine reading: a Killer app for statistical relational AI","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2401657145","mag":"2401657145"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.165.8151","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.8151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.washington.edu/homes/hoifung/papers/starai10.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5019494985","display_name":"Hoifung Poon","orcid":"https://orcid.org/0000-0002-9067-0918","observed_orcids":["https://orcid.org/0000-0002-9067-0918"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoifung Poon","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle WA"],"raw_orcid":"https://orcid.org/0000-0002-9067-0918","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle WA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018711331","display_name":"Pedro Domingos","orcid":"https://orcid.org/0000-0003-4523-5631","observed_orcids":["https://orcid.org/0000-0003-4523-5631"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Domingos","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle WA"],"raw_orcid":"https://orcid.org/0000-0003-4523-5631","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle WA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":1.3543,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84575564,"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":"76","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.388700008392334,"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/T10028","display_name":"Topic Modeling","score":0.388700008392334,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.2827000021934509,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.10729999840259552,"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/machine-reading","display_name":"machine reading","score":0.9909999966621399},{"id":"https://openalex.org/keywords/knowledge-extraction-from-text","display_name":"knowledge extraction from text","score":0.9039999842643738},{"id":"https://openalex.org/keywords/biomedical-abstracts","display_name":"biomedical abstracts","score":0.8640000224113464},{"id":"https://openalex.org/keywords/question-answering","display_name":"question answering","score":0.9380000233650208},{"id":"https://openalex.org/keywords/web-search","display_name":"web search","score":0.5910000205039978}],"concepts":[{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.8171545267105103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8143885135650635},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.7043818235397339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6490074396133423},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5075989961624146},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5011444091796875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4364221692085266},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34403353929519653},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3126978874206543},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.165.8151","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.8151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.washington.edu/homes/hoifung/papers/starai10.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.6676","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.6676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ai.cs.washington.edu/www/media/papers/Poon.pdf","raw_type":"text"},{"id":"mag:2401657145","doi":null,"is_oa":false,"landing_page_url":"http://ai.cs.washington.edu/www/media/papers/Poon.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.8899999856948853}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1176919","https://openalex.org/W1493490255","https://openalex.org/W1508977358","https://openalex.org/W1509392121","https://openalex.org/W1515020792","https://openalex.org/W1523949738","https://openalex.org/W1529522905","https://openalex.org/W1585529040","https://openalex.org/W1860880244","https://openalex.org/W1898214464","https://openalex.org/W1965605789","https://openalex.org/W1974778955","https://openalex.org/W1981457167","https://openalex.org/W1992967856","https://openalex.org/W1997945384","https://openalex.org/W2038721957","https://openalex.org/W2068737686","https://openalex.org/W2114544510","https://openalex.org/W2118584553","https://openalex.org/W2121855012","https://openalex.org/W2124067180","https://openalex.org/W2144108169","https://openalex.org/W2144406616","https://openalex.org/W2150406842","https://openalex.org/W2163107094","https://openalex.org/W2167571757","https://openalex.org/W3098759087","https://openalex.org/W3098991821"],"related_works":["https://openalex.org/W2407226731","https://openalex.org/W2174937774","https://openalex.org/W1707739730","https://openalex.org/W2528981234","https://openalex.org/W2899369816","https://openalex.org/W2189452572","https://openalex.org/W4288072181","https://openalex.org/W2970139579","https://openalex.org/W7096642965","https://openalex.org/W2998723452"],"abstract_inverted_index":{"Machine":[0],"reading":[1,37,60,84],"aims":[2],"to":[3,48,58],"automatically":[4],"extract":[5],"knowledge":[6,105],"from":[7,106],"text.":[8],"It":[9],"is":[10,44],"a":[11,55,67,101],"long-standing":[12],"goal":[13],"of":[14,20,35,75,103],"AI":[15,43,65,94],"and":[16,24,38,95,109],"holds":[17],"the":[18,32,73],"promise":[19,74],"revolutionizing":[21],"Web":[22],"search":[23],"other":[25],"fields.":[26],"In":[27],"this":[28,76],"paper,":[29],"we":[30,71],"analyze":[31],"core":[33],"challenges":[34],"machine":[36,59,83],"show":[39],"that":[40,86],"statistical":[41,63,92],"relational":[42,64,93],"particularly":[45],"well":[46],"suited":[47],"address":[49],"these":[50],"challenges.":[51],"We":[52],"then":[53],"propose":[54],"unifying":[56],"approach":[57,77],"in":[61,91,100],"which":[62],"plays":[66],"central":[68],"role.":[69],"Finally,":[70],"demonstrate":[72],"by":[78],"presenting":[79],"OntoUSP,":[80],"an":[81],"end-toend":[82],"system":[85],"builds":[87],"on":[88],"recent":[89],"advances":[90],"greatly":[96],"outperforms":[97],"state-of-theart":[98],"systems":[99],"task":[102],"extracting":[104],"biomedical":[107],"abstracts":[108],"answering":[110],"questions.":[111]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
