{"id":"https://openalex.org/W2771876412","doi":"https://doi.org/10.26615/978-954-452-049-6_078","title":"Using Gaze Data to Predict Multiword Expressions","display_name":"Using Gaze Data to Predict Multiword Expressions","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2771876412","doi":"https://doi.org/10.26615/978-954-452-049-6_078","mag":"2771876412"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-049-6_078","is_oa":true,"landing_page_url":"https://doi.org/10.26615/978-954-452-049-6_078","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_078","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-049-6_078","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059154016","display_name":"Omid Rohanian","orcid":"https://orcid.org/0000-0002-8771-8386"},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Omid Rohanian","raw_affiliation_strings":["Research Group in Computational Linguistics, University of Wolverhampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group in Computational Linguistics, University of Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033606498","display_name":"Shiva Taslimipoor","orcid":null},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shiva Taslimipoor","raw_affiliation_strings":["Research Group in Computational Linguistics, University of Wolverhampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group in Computational Linguistics, University of Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085816136","display_name":"Victoria Yaneva","orcid":"https://orcid.org/0000-0002-0285-4654"},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victoria Yaneva","raw_affiliation_strings":["Research Group in Computational Linguistics, University of Wolverhampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group in Computational Linguistics, University of Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087067693","display_name":"Le An Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Le An Ha","raw_affiliation_strings":["Research Group in Computational Linguistics, University of Wolverhampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group in Computational Linguistics, University of Wolverhampton, UK","institution_ids":["https://openalex.org/I119664326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119664326"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"601","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9972000122070312,"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/T12031","display_name":"Speech and dialogue systems","score":0.9927999973297119,"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":0.8121547698974609},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.730107307434082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557364225387573},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5524654388427734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8121547698974609},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.730107307434082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557364225387573},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5524654388427734}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26615/978-954-452-049-6_078","is_oa":true,"landing_page_url":"https://doi.org/10.26615/978-954-452-049-6_078","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_078","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:wlv.openrepository.com:2436/622298","is_oa":true,"landing_page_url":"http://hdl.handle.net/2436/622298","pdf_url":null,"source":{"id":"https://openalex.org/S4306401000","display_name":"Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119664326","host_organization_name":"University of Wolverhampton","host_organization_lineage":["https://openalex.org/I119664326"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-049-6_078","is_oa":true,"landing_page_url":"https://doi.org/10.26615/978-954-452-049-6_078","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_078","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2771876412.pdf","grobid_xml":"https://content.openalex.org/works/W2771876412.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W40123913","https://openalex.org/W86816073","https://openalex.org/W1498763386","https://openalex.org/W1504655665","https://openalex.org/W1509144550","https://openalex.org/W1538622809","https://openalex.org/W1800381359","https://openalex.org/W1964424952","https://openalex.org/W1966771059","https://openalex.org/W2011826874","https://openalex.org/W2030692837","https://openalex.org/W2052954792","https://openalex.org/W2053374418","https://openalex.org/W2057458773","https://openalex.org/W2065243327","https://openalex.org/W2126900439","https://openalex.org/W2138747152","https://openalex.org/W2139450036","https://openalex.org/W2144578941","https://openalex.org/W2147880316","https://openalex.org/W2165131017","https://openalex.org/W2166522237","https://openalex.org/W2224490803","https://openalex.org/W2394756230","https://openalex.org/W2512721747","https://openalex.org/W2517394272","https://openalex.org/W2541452587","https://openalex.org/W2545936089","https://openalex.org/W2619927796","https://openalex.org/W2740513281","https://openalex.org/W2766642952","https://openalex.org/W2890052022","https://openalex.org/W2912934387","https://openalex.org/W2952087486","https://openalex.org/W4301691548"],"related_works":["https://openalex.org/W2385108104","https://openalex.org/W1999328396","https://openalex.org/W2904049123","https://openalex.org/W2579934302","https://openalex.org/W2789919619","https://openalex.org/W2183271128","https://openalex.org/W2293457016","https://openalex.org/W1589443630","https://openalex.org/W1561602432","https://openalex.org/W2148725491"],"abstract_inverted_index":{"In":[0,30,87],"recent":[1],"years":[2],"gaze":[3,47,74,82,110],"data":[4,75,111,122],"has":[5],"been":[6],"increasingly":[7],"used":[8],"to":[9,16,129],"improve":[10],"and":[11,51,63,76,85,155],"evaluate":[12],"NLP":[13],"models":[14],"due":[15],"the":[17,24,39,90,94,101,107,118,124],"fact":[18],"that":[19,121,136],"it":[20],"carries":[21],"information":[22],"about":[23],"cognitive":[25],"processing":[26,138],"of":[27,42,54,81,89,93,109],"linguistic":[28],"phenomena.":[29],"this":[31],"paper":[32],"we":[33,104,134],"conduct":[34],"a":[35,60,68,78],"preliminary":[36],"study":[37],"towards":[38],"automatic":[40],"identification":[41],"multiword":[43],"expressions":[44],"based":[45,71],"on":[46,73,153],"features":[48],"from":[49,123],"native":[50,113],"non-native":[52,115],"speakers":[53],"English.":[55],"We":[56],"report":[57],"comparisons":[58],"between":[59],"part-ofspeech":[61],"(POS)":[62],"frequency":[64],"baseline":[65],"to:":[66],"i)":[67],"prediction":[69],"model":[70,80],"solely":[72],"ii)":[77],"combined":[79],"data,":[83],"POS":[84],"frequency.":[86],"spite":[88],"challenging":[91],"nature":[92],"task,":[95],"best":[96],"performance":[97],"was":[98],"achieved":[99],"by":[100],"latter.":[102],"Furthermore,":[103],"explore":[105],"how":[106],"type":[108],"(from":[112],"versus":[114],"speakers)":[116],"affects":[117],"prediction,":[119],"showing":[120],"two":[125],"groups":[126],"is":[127,147],"discriminative":[128],"an":[130],"equal":[131],"degree.":[132],"Finally,":[133],"show":[135],"late":[137],"measures":[139],"are":[140],"more":[141],"predictive":[142],"than":[143],"early":[144],"ones,":[145],"which":[146],"in":[148],"line":[149],"with":[150],"previous":[151],"research":[152],"idioms":[154],"other":[156],"formulaic":[157],"structures.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2017-12-22T00:00:00"}