{"id":"https://openalex.org/W4406237254","doi":"https://doi.org/10.1162/tacl_a_00727","title":"<scp>Dolomites</scp>: Domain-Specific Long-Form Methodical Tasks","display_name":"<scp>Dolomites</scp>: Domain-Specific Long-Form Methodical Tasks","publication_year":2024,"publication_date":"2024-01-07","ids":{"openalex":"https://openalex.org/W4406237254","doi":"https://doi.org/10.1162/tacl_a_00727"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00727","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00727","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1162/tacl_a_00727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037500486","display_name":"Chaitanya Malaviya","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chaitanya Malaviya","raw_affiliation_strings":["University of Pennsylvania, USA. cmalaviy@seas.upenn.edu"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, USA. cmalaviy@seas.upenn.edu","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111017567","display_name":"Priyanka Agrawal","orcid":"https://orcid.org/0000-0002-0817-1432"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyanka Agrawal","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081573359","display_name":"Kuzman Ganchev","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuzman Ganchev","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101351998","display_name":"Pranesh Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pranesh Srinivasan","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080734082","display_name":"Fantine Huot","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fantine Huot","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045872048","display_name":"Jonathan Berant","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Berant","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039205261","display_name":"Mark Yatskar","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Yatskar","raw_affiliation_strings":["University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, USA","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021055773","display_name":"Dipanjan Das","orcid":"https://orcid.org/0000-0003-2325-0646"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dipanjan Das","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041024491","display_name":"Mirella Lapata","orcid":"https://orcid.org/0000-0002-2107-1516"},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mirella Lapata","raw_affiliation_strings":["Google DeepMind, UK"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK","institution_ids":["https://openalex.org/I4210113297","https://openalex.org/I4210090411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065685274","display_name":"Chris Alberti","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Alberti","raw_affiliation_strings":["Google DeepMind, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5037500486"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22963447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9957000017166138,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8075328469276428},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6984258890151978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075328469276428},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6984258890151978},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00727","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00727","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/1ff07e1d-1732-40c5-9d37-b1c90110fb43","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/1ff07e1d-1732-40c5-9d37-b1c90110fb43","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Malaviya, C, Agrawal, P, Ganchev, K, Srinivasan, P, Huot, F, Berant, J, Yatskar, M, Das, D, Lapata, M & Alberti, C 2025, 'Dolomites : Domain-specific long-form methodical tasks', Transactions of the Association for Computational Linguistics, vol. 13, pp. 1-29. https://doi.org/10.1162/tacl_a_00727","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00727","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00727","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1507711477","https://openalex.org/W1981208470","https://openalex.org/W2741672218","https://openalex.org/W2891113091","https://openalex.org/W2912924812","https://openalex.org/W2963672599","https://openalex.org/W2963903950","https://openalex.org/W2970482702","https://openalex.org/W3035252911","https://openalex.org/W3121904249","https://openalex.org/W3142525300","https://openalex.org/W3162922479","https://openalex.org/W3169841173","https://openalex.org/W3206079177","https://openalex.org/W3213241618","https://openalex.org/W4211262707","https://openalex.org/W4220747294","https://openalex.org/W4224308101","https://openalex.org/W4283385703","https://openalex.org/W4287855110","https://openalex.org/W4288089799","https://openalex.org/W4321371665","https://openalex.org/W4323355078","https://openalex.org/W4360793310","https://openalex.org/W4361289889","https://openalex.org/W4367188881","https://openalex.org/W4384154918","https://openalex.org/W4385490607","https://openalex.org/W4385571232","https://openalex.org/W4385859649","https://openalex.org/W4386827556","https://openalex.org/W4387617694","https://openalex.org/W4389403907","https://openalex.org/W4389519438","https://openalex.org/W4389520163","https://openalex.org/W4389524447","https://openalex.org/W4390041933","https://openalex.org/W4392679398","https://openalex.org/W4393157213","https://openalex.org/W4395064689","https://openalex.org/W4396832192","https://openalex.org/W4399511950","https://openalex.org/W4399848789","https://openalex.org/W4401042427","https://openalex.org/W4402667081","https://openalex.org/W4402671236","https://openalex.org/W4402671286","https://openalex.org/W4402671800","https://openalex.org/W4402671995","https://openalex.org/W6682631176","https://openalex.org/W6682711045","https://openalex.org/W6729938257","https://openalex.org/W6769627184","https://openalex.org/W6782879696","https://openalex.org/W6796062142","https://openalex.org/W6810081322","https://openalex.org/W6838190658","https://openalex.org/W6852874933","https://openalex.org/W6857899672","https://openalex.org/W6860710830","https://openalex.org/W6865172183","https://openalex.org/W6869208438","https://openalex.org/W7073593060"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Abstract":[0],"Experts":[1],"in":[2,59,107],"various":[3],"fields":[4],"routinely":[5],"perform":[6],"methodical":[7,56,98,137],"writing":[8,20,30],"tasks":[9,37,57,81,99,138],"to":[10,27,41,118,129],"plan,":[11],"organize,":[12],"and":[13,68,70,103],"report":[14],"their":[15],"work.":[16],"From":[17],"a":[18,21,25,28,31,48,53,63,73,140],"clinician":[19],"differential":[22],"diagnosis":[23],"for":[24,34,47,78],"patient,":[26],"teacher":[29],"lesson":[32],"plan":[33],"students,":[35],"these":[36,127],"are":[38],"pervasive,":[39],"requiring":[40],"methodically":[42],"generate":[43],"structured":[44,58],"long-form":[45,142],"output":[46,104],"given":[49,155],"input.":[50],"We":[51,125],"develop":[52],"typology":[54],"of":[55,62,85,97,116,122],"the":[60,154],"form":[61],"task":[64],"objective,":[65],"procedure,":[66],"input,":[67],"output,":[69],"introduce":[71],"DoLoMiTes,":[72],"novel":[74],"benchmark":[75,92],"with":[76,100],"specifications":[77],"519":[79],"such":[80],"elicited":[82],"from":[83,87],"hundreds":[84],"experts":[86],"across":[88],"25":[89],"fields.":[90],"Our":[91,162],"further":[93],"contains":[94],"specific":[95],"instantiations":[96],"concrete":[101],"input":[102],"examples":[105,121,128],"(1,857":[106],"total)":[108],"which":[109],"we":[110],"obtain":[111],"by":[112],"collecting":[113],"expert":[114],"revisions":[115],"up":[117],"10":[119],"model-generated":[120],"each":[123],"task.":[124],"use":[126],"evaluate":[130],"contemporary":[131],"language":[132],"models,":[133],"highlighting":[134],"that":[135],"automating":[136],"is":[139,164],"challenging":[141],"generation":[143],"problem,":[144],"as":[145,157,159],"it":[146],"requires":[147],"performing":[148],"complex":[149],"inferences,":[150],"while":[151],"drawing":[152],"upon":[153],"context":[156],"well":[158],"domain":[160],"knowledge.":[161],"dataset":[163],"available":[165],"at":[166],"https://dolomites-benchmark.github.io/.":[167]},"counts_by_year":[],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}
