{"id":"https://openalex.org/W2889451908","doi":"https://doi.org/10.48550/arxiv.1808.09890","title":"An Adaptive Conversational Bot Framework","display_name":"An Adaptive Conversational Bot Framework","publication_year":2018,"publication_date":"2018-08-27","ids":{"openalex":"https://openalex.org/W2889451908","doi":"https://doi.org/10.48550/arxiv.1808.09890","mag":"2889451908"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1808.09890","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.09890","pdf_url":"https://arxiv.org/pdf/1808.09890","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1808.09890","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043663779","display_name":"Isak Czeresnia Etinger","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Etinger, Isak Czeresnia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5043663779"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9833999872207642,"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/T12031","display_name":"Speech and dialogue systems","score":0.9833999872207642,"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/T12128","display_name":"AI in Service Interactions","score":0.008100000210106373,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.0035000001080334187,"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/chatbots","display_name":"chatbots","score":0.9449999928474426},{"id":"https://openalex.org/keywords/information-extraction","display_name":"information extraction","score":0.5870000123977661},{"id":"https://openalex.org/keywords/user-behavior-modeling","display_name":"user behavior modeling","score":0.5270000100135803},{"id":"https://openalex.org/keywords/natural-language-interfaces-to-databases","display_name":"natural language interfaces to databases","score":0.7429999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83638995885849},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.581113874912262},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.461249977350235},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37634798884391785},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15855666995048523},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1808.09890","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.09890","pdf_url":"https://arxiv.org/pdf/1808.09890","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1808.09890","doi":"https://doi.org/10.48550/arxiv.1808.09890","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1808.09890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1808.09890","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.09890","pdf_url":"https://arxiv.org/pdf/1808.09890","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2121516364","https://openalex.org/W2252004778"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"How":[0],"can":[1],"we":[2,57,73],"enable":[3],"users":[4],"to":[5,37,68,80],"heavily":[6],"specify":[7],"criteria":[8],"for":[9,49,90],"database":[10],"queries":[11],"in":[12,83],"a":[13,19,23,59,78,84],"user-friendly":[14],"way?":[15],"This":[16],"paper":[17],"describes":[18],"general":[20],"framework":[21,76],"of":[22,61],"conversational":[24],"bot":[25,79],"that":[26,33,42],"extracts":[27],"meaningful":[28],"information":[29],"from":[30],"user's":[31],"sentences,":[32],"asks":[34],"subsequent":[35],"questions":[36,45],"complete":[38],"missing":[39],"information,":[40],"and":[41,46,64],"adjusts":[43],"its":[44],"information-extraction":[47],"parameters":[48],"later":[50],"conversations":[51],"depending":[52],"on":[53],"users'":[54],"behavior.":[55],"Additionally,":[56],"provide":[58],"comparison":[60],"existing":[62],"tools":[63],"give":[65],"novel":[66],"techniques":[67],"implement":[69],"such":[70],"framework.":[71],"Finally,":[72],"exemplify":[74],"the":[75],"with":[77],"query":[81],"movies":[82],"database,":[85],"whose":[86],"code":[87],"is":[88],"available":[89],"Microsoft":[91],"employees.":[92]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2025-10-10T00:00:00"}