{"id":"https://openalex.org/W2063556212","doi":"https://doi.org/10.1145/2815833.2816954","title":"Chemically Augmented String Kernel for Extraction and Classification of Chemical Compounds from Text","display_name":"Chemically Augmented String Kernel for Extraction and Classification of Chemical Compounds from Text","publication_year":2015,"publication_date":"2015-09-29","ids":{"openalex":"https://openalex.org/W2063556212","doi":"https://doi.org/10.1145/2815833.2816954","mag":"2063556212"},"language":"en","primary_location":{"id":"doi:10.1145/2815833.2816954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2815833.2816954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Knowledge Capture","raw_type":"proceedings-article"},"type":"article","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/A5018378288","display_name":"Venkata Joopudi","orcid":"https://orcid.org/0000-0001-8426-3219"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Venkata Joopudi","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060490902","display_name":"Akansha Singh","orcid":"https://orcid.org/0000-0002-5520-8066"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akansha Singh","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048771066","display_name":"Keerthana Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keerthana Kumar","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050583409","display_name":"Anirudh Murali","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirudh Murali","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040440492","display_name":"Priya Gandhi","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priya Gandhi","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043939217","display_name":"Utkarsha Prakash","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Utkarsha Prakash","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018378288"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04595778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937000274658203,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937000274658203,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9848999977111816,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/string-kernel","display_name":"String kernel","score":0.7165886759757996},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6951693296432495},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.6915095448493958},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.6373897194862366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5847339034080505},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.5335593223571777},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.38717159628868103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3511813282966614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33202481269836426},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.31156104803085327},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.29264289140701294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23234078288078308},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.21713614463806152}],"concepts":[{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.7165886759757996},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6951693296432495},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.6915095448493958},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6373897194862366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5847339034080505},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.5335593223571777},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.38717159628868103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3511813282966614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33202481269836426},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.31156104803085327},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29264289140701294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23234078288078308},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.21713614463806152},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2815833.2816954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2815833.2816954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Knowledge Capture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W34176136","https://openalex.org/W1480643256","https://openalex.org/W1506806321","https://openalex.org/W2039612385","https://openalex.org/W2078236179","https://openalex.org/W2130948069","https://openalex.org/W2132914434","https://openalex.org/W2135932125","https://openalex.org/W2139212933","https://openalex.org/W3193477162","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W1535136526","https://openalex.org/W1983263273","https://openalex.org/W2071590642","https://openalex.org/W4291669689","https://openalex.org/W4294351650","https://openalex.org/W3099811568","https://openalex.org/W1984421104","https://openalex.org/W1836142315","https://openalex.org/W2090782076"],"abstract_inverted_index":{"Chemical":[0],"compounds":[1,19],"provide":[2],"key":[3],"information":[4],"for":[5],"text":[6],"documents":[7],"in":[8,20,59],"the":[9,44,60,101,110,128],"material":[10],"science":[11],"domain.":[12],"For":[13],"extraction":[14],"and":[15,93,115,138,147],"classification":[16],"of":[17,39,46,54,62,81,91,100,109,113,127],"chemical":[18,40],"text,":[21],"we":[22,48],"present":[23],"a":[24,52,89],"novel":[25],"kernel":[26,137],"-":[27,33],"Chemically":[28],"Augmented":[29],"String":[30],"Kernel":[31],"(CASK)":[32],"which":[34,74],"incorporates":[35],"periodic":[36],"table":[37],"properties":[38],"elements.":[41],"To":[42],"evaluate":[43],"performance":[45],"CASK,":[47],"performed":[49],"experiments":[50],"on":[51],"corpus":[53],"14,656":[55],"journal":[56],"paper":[57],"abstracts":[58],"field":[61],"Thin":[63],"Film":[64],"Solar":[65],"Cells":[66],"(TFSCs)":[67],"published":[68],"during":[69],"1990-2014.":[70],"TFSCs":[71],"are":[72],"devices":[73],"typically":[75],"contain":[76],"four":[77,104,111],"layers,":[78],"each":[79,108],"composed":[80],"different":[82],"materials.":[83],"Each":[84],"abstract":[85],"was":[86,131],"treated":[87],"as":[88,142],"bag":[90],"words":[92,95,120],"its":[94],"were":[96],"classified":[97],"into":[98],"one":[99,116],"five":[102],"classes:":[103],"classes":[105],"corresponding":[106],"to":[107,125,133],"layers":[112],"TFSCs,":[114],"class":[117],"categorizing":[118],"unrelated":[119],"that":[121],"do":[122],"not":[123],"belong":[124],"any":[126],"layers.":[129],"CASK":[130],"found":[132],"outperform":[134],"string":[135],"subsequence":[136],"other":[139],"kernels":[140],"such":[141],"radial":[143],"basis":[144],"function,":[145],"polynomial":[146],"linear.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}