{"id":"https://openalex.org/W2099654721","doi":"https://doi.org/10.3115/v1/s14-2146","title":"UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic Spatial Commands","display_name":"UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic Spatial Commands","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2099654721","doi":"https://doi.org/10.3115/v1/s14-2146","mag":"2099654721"},"language":"en","primary_location":{"id":"doi:10.3115/v1/s14-2146","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/s14-2146","pdf_url":"https://doi.org/10.3115/v1/s14-2146","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/s14-2146","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025453749","display_name":"Rohit J. Kate","orcid":"https://orcid.org/0000-0001-5522-0674"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rohit Kate","raw_affiliation_strings":["Univ. of Wisconsin Milwaukee"],"affiliations":[{"raw_affiliation_string":"Univ. of Wisconsin Milwaukee","institution_ids":["https://openalex.org/I43579087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025453749"],"corresponding_institution_ids":["https://openalex.org/I43579087"],"apc_list":null,"apc_paid":null,"fwci":1.6881,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88026626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"823","last_page":"827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8894863128662109},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7998723983764648},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7997539043426514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6793829202651978},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.6360036730766296},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6193546056747437},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.5375504493713379},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.5256489515304565},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.47558653354644775},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4366610050201416},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.43062829971313477},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42062678933143616},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.29241257905960083},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12310194969177246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8894863128662109},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7998723983764648},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7997539043426514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6793829202651978},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.6360036730766296},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6193546056747437},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.5375504493713379},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.5256489515304565},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.47558653354644775},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4366610050201416},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.43062829971313477},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42062678933143616},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29241257905960083},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12310194969177246},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/s14-2146","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/s14-2146","pdf_url":"https://doi.org/10.3115/v1/s14-2146","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.4191","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.4191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval146.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/s14-2146","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/s14-2146","pdf_url":"https://doi.org/10.3115/v1/s14-2146","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2099654721.pdf","grobid_xml":"https://content.openalex.org/works/W2099654721.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1496189301","https://openalex.org/W1563088657","https://openalex.org/W2005814556","https://openalex.org/W2096979215","https://openalex.org/W2102258316","https://openalex.org/W2107618763","https://openalex.org/W2112999531","https://openalex.org/W2135754437","https://openalex.org/W2140266767","https://openalex.org/W2148833958","https://openalex.org/W2149141985","https://openalex.org/W2151447942","https://openalex.org/W2163274265","https://openalex.org/W2164155814","https://openalex.org/W2164513782","https://openalex.org/W2227250678","https://openalex.org/W3137523908","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W2792937288","https://openalex.org/W2389755172","https://openalex.org/W3088470625","https://openalex.org/W4320024782","https://openalex.org/W2804916787","https://openalex.org/W3035970863","https://openalex.org/W2164260211","https://openalex.org/W2281562628","https://openalex.org/W4319941662"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"Team":[3],"UWM\u2019s":[4],"sys-tem":[5],"for":[6,13,103],"the":[7,30,46,61,68,98],"Task":[8],"6":[9],"of":[10,18,34,64],"SemEval":[11],"2014":[12],"doing":[14],"supervised":[15],"semantic":[16,24,66],"parsing":[17],"robotic":[19,37],"spatial":[20,38],"commands.":[21],"An":[22],"existing":[23],"parser,":[25],"KRISP,":[26],"was":[27,71,100],"trained":[28,69],"us-ing":[29],"provided":[31],"training":[32],"data":[33],"natural":[35],"language":[36],"commands":[39,77],"paired":[40],"with":[41,82],"their":[42,79],"meaning":[43,80],"representations":[44],"in":[45],"formal":[47],"robot":[48],"command":[49],"language.":[50],"The":[51],"en-tire":[52],"process":[53],"required":[54],"very":[55],"little":[56],"manual":[57],"ef-fort.":[58],"Without":[59],"using":[60],"additional":[62],"annota-tions":[63],"word-aligned":[65],"trees,":[67],"parser":[70,99],"able":[72],"to":[73],"exactly":[74],"parse":[75],"new":[76],"into":[78],"repre-sentations":[81],"51.18":[83],"%":[84,89,93],"best":[85],"F-measure":[86],"at":[87],"72.67":[88],"precision":[90],"and":[91],"39.49":[92],"recall.":[94],"Re-sults":[95],"show":[96],"that":[97],"particularly":[101],"accurate":[102],"short":[104],"sentences.":[105],"1":[106]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}