{"id":"https://openalex.org/W3183302550","doi":"https://doi.org/10.18653/v1/2021.acl-srw.29","title":"Predicting pragmatic discourse features in the language of adults with autism spectrum disorder","display_name":"Predicting pragmatic discourse features in the language of adults with autism spectrum disorder","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183302550","doi":"https://doi.org/10.18653/v1/2021.acl-srw.29","mag":"3183302550","pmid":"https://pubmed.ncbi.nlm.nih.gov/36340582"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2021.acl-srw.29","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.acl-srw.29","pdf_url":"https://aclanthology.org/2021.acl-srw.29.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 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2021.acl-srw.29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046863301","display_name":"Christine Ting-Yu Yang","orcid":"https://orcid.org/0000-0002-2611-5020"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christine Yang","raw_affiliation_strings":["Department of Computer Science, Boston College"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston College","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047446826","display_name":"Duanchen Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duanchen Liu","raw_affiliation_strings":["Department of Computer Science, Boston College"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston College","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085775357","display_name":"Qingyun Yang","orcid":"https://orcid.org/0000-0003-4139-4037"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyun Yang","raw_affiliation_strings":["Department of Computer Science, Boston College"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston College","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063501461","display_name":"Zoey Liu","orcid":"https://orcid.org/0009-0008-5313-157X"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoey Liu","raw_affiliation_strings":["Department of Computer Science, Boston College"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston College","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085014772","display_name":"Emily Prud\u2019hommeaux","orcid":null},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Prud\u2019hommeaux","raw_affiliation_strings":["Department of Computer Science, Boston College"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston College","institution_ids":["https://openalex.org/I103531236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046863301"],"corresponding_institution_ids":["https://openalex.org/I103531236"],"apc_list":null,"apc_paid":null,"fwci":0.3562,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54956937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2021","issue":null,"first_page":"284","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9921000003814697,"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":0.9724000096321106,"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/autism-spectrum-disorder","display_name":"Autism spectrum disorder","score":0.7389224767684937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541836678981781},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4875130355358124},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.47321265935897827},{"id":"https://openalex.org/keywords/autism","display_name":"Autism","score":0.4623599648475647},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40892088413238525},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3915945291519165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3638930320739746},{"id":"https://openalex.org/keywords/developmental-psychology","display_name":"Developmental psychology","score":0.18149754405021667},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.13333916664123535},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11309906840324402}],"concepts":[{"id":"https://openalex.org/C2778538070","wikidata":"https://www.wikidata.org/wiki/Q1436063","display_name":"Autism spectrum disorder","level":3,"score":0.7389224767684937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541836678981781},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4875130355358124},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.47321265935897827},{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.4623599648475647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40892088413238525},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3915945291519165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3638930320739746},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.18149754405021667},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.13333916664123535},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11309906840324402},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2021.acl-srw.29","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.acl-srw.29","pdf_url":"https://aclanthology.org/2021.acl-srw.29.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 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop","raw_type":"proceedings-article"},{"id":"pmid:36340582","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36340582","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the conference. Association for Computational Linguistics. Meeting","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9633181","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9633181","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc Conf Assoc Comput Linguist Meet","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.18653/v1/2021.acl-srw.29","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.acl-srw.29","pdf_url":"https://aclanthology.org/2021.acl-srw.29.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 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183302550.pdf","grobid_xml":"https://content.openalex.org/works/W3183302550.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W568380021","https://openalex.org/W1551699487","https://openalex.org/W1875231349","https://openalex.org/W1972223188","https://openalex.org/W1980014198","https://openalex.org/W1982870008","https://openalex.org/W1995926350","https://openalex.org/W1999850965","https://openalex.org/W2007567550","https://openalex.org/W2026528003","https://openalex.org/W2031109607","https://openalex.org/W2088359266","https://openalex.org/W2090918930","https://openalex.org/W2118142207","https://openalex.org/W2126844549","https://openalex.org/W2139103218","https://openalex.org/W2141766660","https://openalex.org/W2153579005","https://openalex.org/W2245623202","https://openalex.org/W2250539671","https://openalex.org/W2310012311","https://openalex.org/W2419310032","https://openalex.org/W2510280606","https://openalex.org/W2776962417","https://openalex.org/W2798557956","https://openalex.org/W2914608742","https://openalex.org/W2947803146","https://openalex.org/W2963341956","https://openalex.org/W2963790016","https://openalex.org/W3035287090","https://openalex.org/W4241822696","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4280602684","https://openalex.org/W4310092953","https://openalex.org/W2227393071","https://openalex.org/W4402326599","https://openalex.org/W1995350144","https://openalex.org/W2082102603","https://openalex.org/W2166141227","https://openalex.org/W3133980636","https://openalex.org/W4378085486","https://openalex.org/W4366602711"],"abstract_inverted_index":{"Individuals":[0],"with":[1,18,51,61,113,144,162],"autism":[2],"spectrum":[3],"disorder":[4],"(ASD)":[5],"experience":[6],"difficulties":[7],"in":[8,20,44,48,102,155],"social":[9],"aspects":[10],"of":[11,39,58,85,90,116],"communication,":[12],"but":[13],"the":[14,114,118,130],"linguistic":[15],"characteristics":[16],"associated":[17],"deficits":[19],"discourse":[21],"and":[22,31,52,78,81,104],"pragmatic":[23,73,169],"expression":[24],"are":[25,34,123],"often":[26],"difficult":[27],"to":[28,108],"precisely":[29],"identify":[30],"quantify.":[32],"We":[33,97,128],"currently":[35],"collecting":[36],"a":[37,56,83,94,139],"corpus":[38],"transcribed":[40],"natural":[41],"conversations":[42],"produced":[43],"an":[45],"experimental":[46],"setting":[47],"which":[49],"participants":[50],"without":[53],"ASD":[54],"complete":[55],"number":[57],"collaborative":[59],"tasks":[60],"their":[62],"neurotypical":[63],"peers.":[64],"Using":[65],"this":[66],"dyadic":[67],"conversational":[68],"data,":[69],"we":[70],"investigate":[71],"three":[72,136,168],"features":[74,92,137],"-":[75,80],"politeness,":[76],"uncertainty,":[77],"informativeness":[79],"present":[82],"dataset":[84],"utterances":[86],"annotated":[87],"for":[88,134,158,166],"each":[89],"these":[91,111,160],"on":[93],"three-point":[95],"scale.":[96],"then":[98],"introduce":[99],"ongoing":[100],"work":[101],"developing":[103],"training":[105],"neural":[106,141],"models":[107,148],"automatically":[109],"predict":[110],"features,":[112,161],"goal":[115],"identifying":[117],"same":[119],"between-groups":[120],"differences":[121],"that":[122],"observed":[124],"using":[125],"manual":[126],"annotations.":[127],"find":[129],"best":[131],"performing":[132],"model":[133],"all":[135,167],"is":[138],"feedforward":[140],"network":[142],"trained":[143],"BERT":[145],"embeddings.":[146],"Our":[147],"yield":[149],"higher":[150],"accuracy":[151],"than":[152],"ones":[153],"used":[154],"previous":[156],"approaches":[157],"deriving":[159],"F1":[163],"exceeding":[164],"0.82":[165],"features.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}