{"id":"https://openalex.org/W4403577488","doi":"https://doi.org/10.1145/3627673.3679946","title":"In Situ Answer Sentence Selection at Web-scale","display_name":"In Situ Answer Sentence Selection at Web-scale","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577488","doi":"https://doi.org/10.1145/3627673.3679946"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679946","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679946","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679946?download=true","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 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679946?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100358735","display_name":"Zeyu Zhang","orcid":"https://orcid.org/0009-0006-2834-3007"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zeyu Zhang","raw_affiliation_strings":["Amazon AGI, El Segundo, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AGI, El Segundo, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056497976","display_name":"Thuy Vu","orcid":"https://orcid.org/0000-0003-1056-6975"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thuy Vu","raw_affiliation_strings":["Amazon AGI, El Segundo, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AGI, El Segundo, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056376686","display_name":"Alessandro Moschitti","orcid":"https://orcid.org/0000-0003-2216-8034"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Moschitti","raw_affiliation_strings":["Amazon AGI, El Segundo, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon AGI, El Segundo, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100358735"],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16382159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4298","last_page":"4302"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976999759674072,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7629271745681763},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6736008524894714},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5741924047470093},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5507802963256836},{"id":"https://openalex.org/keywords/in-situ","display_name":"In situ","score":0.5185421109199524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45327863097190857},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43014127016067505},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3321511149406433},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05321583151817322},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.052457720041275024},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05196505784988403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629271745681763},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6736008524894714},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5741924047470093},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5507802963256836},{"id":"https://openalex.org/C2777822432","wikidata":"https://www.wikidata.org/wiki/Q216681","display_name":"In situ","level":2,"score":0.5185421109199524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45327863097190857},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43014127016067505},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3321511149406433},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05321583151817322},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.052457720041275024},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05196505784988403},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679946","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679946","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679946?download=true","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 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627673.3679946","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679946","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3679946?download=true","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 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403577488.pdf","grobid_xml":"https://content.openalex.org/works/W4403577488.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2108862644","https://openalex.org/W2516255829","https://openalex.org/W2741263286","https://openalex.org/W2767857566","https://openalex.org/W2912924812","https://openalex.org/W2963706742","https://openalex.org/W4306317422","https://openalex.org/W4385718081","https://openalex.org/W4386804446","https://openalex.org/W4390871883","https://openalex.org/W4402111798","https://openalex.org/W4402727847","https://openalex.org/W6605174579"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2392760275","https://openalex.org/W2083530853","https://openalex.org/W2009831055","https://openalex.org/W2393172683","https://openalex.org/W3211744874","https://openalex.org/W1994626569","https://openalex.org/W2368686738"],"abstract_inverted_index":{"Current":[0],"answer":[1,40,67,86],"sentence":[2,87],"selection":[3,41],"(AS2)":[4],"applied":[5],"in":[6,119],"open-domain":[7],"question":[8,61],"answering":[9],"(ODQA)":[10],"selects":[11],"answers":[12],"by":[13,117],"ranking":[14],"a":[15,38,49,60,65,91],"large":[16],"set":[17],"of":[18,98,114],"candidates,":[19],"i.e.,":[20],"sentences,":[21],"extracted":[22],"from":[23,68,123],"the":[24,69,82,115],"retrieved":[25,58],"text.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"present":[31],"Passage-based":[32],"Extracting":[33],"Answer":[34],"Sentence":[35],"In-place":[36],"(PEASI),":[37],"novel":[39],"model":[42],"optimized":[43],"for":[44,59,78,102],"Web-scale":[45],"setting.":[46],"This":[47],"is":[48],"Transformer-based":[50],"network":[51],"that":[52,109],"can":[53],"jointly":[54],"(i)":[55],"rerank":[56],"passages":[57],"and":[62,85],"(ii)":[63],"identify":[64],"probable":[66],"top":[70],"passages.":[71],"We":[72,89],"train":[73],"PEASI":[74,110],"with":[75],"multi-task":[76],"learning":[77],"sharing":[79],"representations":[80],"between":[81],"passage":[83],"reranker":[84],"extractor.":[88],"construct":[90],"new":[92],"large-scale":[93],"QA":[94],"dataset":[95],"(WQA)":[96],"consisting":[97],"800,000+":[99],"labeled":[100],"passages/sentences":[101],"60,000+":[103],"questions.":[104],"The":[105],"experiment":[106],"results":[107],"show":[108],"outperforms":[111],"AS2":[112],"state":[113],"art":[116],"6.51%":[118],"accuracy":[120],"on":[121],"WQA,":[122],"48.86%":[124],"to":[125],"55.37%.":[126]},"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}