{"id":"https://openalex.org/W2962896386","doi":"https://doi.org/10.18653/v1/w17-4417","title":"Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media","display_name":"Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2962896386","doi":"https://doi.org/10.18653/v1/w17-4417","mag":"2962896386"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4417","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4417","pdf_url":"https://www.aclweb.org/anthology/W17-4417.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 3rd Workshop on Noisy User-generated Text","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4417.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001782831","display_name":"Preeti Bhargava","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150505","display_name":"Lithium Power (United States)","ror":"https://ror.org/052s8df17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150505"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Preeti Bhargava","raw_affiliation_strings":["Lithium Technologies | Klout San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"Lithium Technologies | Klout San Francisco, CA","institution_ids":["https://openalex.org/I4210150505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015501509","display_name":"Nemanja Spasojevic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150505","display_name":"Lithium Power (United States)","ror":"https://ror.org/052s8df17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150505"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nemanja Spasojevic","raw_affiliation_strings":["Lithium Technologies | Klout San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"Lithium Technologies | Klout San Francisco, CA","institution_ids":["https://openalex.org/I4210150505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112457807","display_name":"Guoning Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150505","display_name":"Lithium Power (United States)","ror":"https://ror.org/052s8df17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150505"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoning Hu","raw_affiliation_strings":["Lithium Technologies | Klout San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"Lithium Technologies | Klout San Francisco, CA","institution_ids":["https://openalex.org/I4210150505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001782831"],"corresponding_institution_ids":["https://openalex.org/I4210150505"],"apc_list":null,"apc_paid":null,"fwci":0.6231,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79048295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8094711303710938},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6847826242446899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6169576644897461},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.598537027835846},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5268893241882324},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37443411350250244},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1399076282978058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094711303710938},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6847826242446899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6169576644897461},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.598537027835846},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5268893241882324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37443411350250244},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1399076282978058}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-4417","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4417","pdf_url":"https://www.aclweb.org/anthology/W17-4417.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 3rd Workshop on Noisy User-generated Text","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4417","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4417","pdf_url":"https://www.aclweb.org/anthology/W17-4417.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 3rd Workshop on Noisy User-generated Text","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962896386.pdf","grobid_xml":"https://content.openalex.org/works/W2962896386.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W37461795","https://openalex.org/W193524605","https://openalex.org/W1899116073","https://openalex.org/W2111975591","https://openalex.org/W2123442489","https://openalex.org/W2123661878","https://openalex.org/W2153848201","https://openalex.org/W2165266976","https://openalex.org/W2166305731","https://openalex.org/W2250539671","https://openalex.org/W2594424805","https://openalex.org/W2604368220","https://openalex.org/W2604853844","https://openalex.org/W2950974174","https://openalex.org/W2963603845","https://openalex.org/W2964297911","https://openalex.org/W3099661014","https://openalex.org/W3099706984"],"related_works":["https://openalex.org/W2368651715","https://openalex.org/W1788528807","https://openalex.org/W1975174578","https://openalex.org/W104581431","https://openalex.org/W2725657302","https://openalex.org/W2469626427","https://openalex.org/W1561729373","https://openalex.org/W2393978999","https://openalex.org/W3128216712","https://openalex.org/W2747680751"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"the":[5,52],"Lithium":[6,29,57,83],"Natural":[7],"Language":[8],"Processing":[9],"(NLP)":[10],"system":[11,17,53,63],"-a":[12],"resource-constrained,":[13],"highthroughput":[14],"and":[15,41,67,77,89],"language-agnostic":[16],"for":[18],"information":[19,36,75],"extraction":[20],"from":[21,43],"noisy":[22],"user":[23],"generated":[24],"text":[25],"on":[26],"social":[27],"media.":[28],"NLP":[30,69,84,96],"extracts":[31],"a":[32],"rich":[33],"set":[34],"of":[35,51,73],"including":[37],"entities,":[38],"topics,":[39],"hashtags":[40],"sentiment":[42],"text.":[44],"We":[45,59,80],"discuss":[46],"several":[47],"real":[48],"world":[49],"applications":[50],"currently":[54],"incorporated":[55],"in":[56,71,90],"products.":[58],"also":[60],"compare":[61],"our":[62],"with":[64,88],"existing":[65],"commercial":[66,95],"academic":[68],"systems":[70],"terms":[72],"performance,":[74],"extracted":[76],"languages":[78],"supported.":[79],"show":[81],"that":[82],"is":[85],"at":[86],"par":[87],"some":[91],"cases,":[92],"outperforms":[93],"stateof-the-art":[94],"systems.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}