{"id":"https://openalex.org/W2971167679","doi":"https://doi.org/10.18653/v1/d19-1316","title":"Toward a Task of Feedback Comment Generation for Writing Learning","display_name":"Toward a Task of Feedback Comment Generation for Writing Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971167679","doi":"https://doi.org/10.18653/v1/d19-1316","mag":"2971167679"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1316","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1316","pdf_url":null,"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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/d19-1316","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068324214","display_name":"Ryo Nagata","orcid":"https://orcid.org/0000-0002-5893-3335"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryo Nagata","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068324214"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5402,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87482793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3204","last_page":"3213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8511230945587158},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.8142750263214111},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7795371413230896},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5849995017051697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5697672963142395},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47405359148979187},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45714619755744934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36020374298095703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.126598060131073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511230945587158},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.8142750263214111},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7795371413230896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5849995017051697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5697672963142395},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47405359148979187},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45714619755744934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36020374298095703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.126598060131073},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1316","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1316","pdf_url":null,"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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1316","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1316","pdf_url":null,"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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W143223931","https://openalex.org/W1508977358","https://openalex.org/W1537241704","https://openalex.org/W1552099543","https://openalex.org/W1688592801","https://openalex.org/W1984954962","https://openalex.org/W1996161790","https://openalex.org/W2034106047","https://openalex.org/W2061693765","https://openalex.org/W2067530630","https://openalex.org/W2101105183","https://openalex.org/W2101778115","https://openalex.org/W2124725212","https://openalex.org/W2148474294","https://openalex.org/W2251713402","https://openalex.org/W2478432301","https://openalex.org/W2515146012","https://openalex.org/W2516621648","https://openalex.org/W2740258984","https://openalex.org/W2760051178","https://openalex.org/W2771449929","https://openalex.org/W2884276923","https://openalex.org/W2890397703","https://openalex.org/W2963706742","https://openalex.org/W2964082031","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"In":[0],"this":[1,43,129],"paper,":[2],"we":[3,104,114],"introduce":[4],"a":[5,13,22,87,93],"novel":[6],"task":[7,14,44],"called":[8],"feedback":[9,18,49,74],"comment":[10],"generation":[11],"\u2014":[12],"of":[15,34,62,99],"automatically":[16],"generating":[17],"comments":[19],"such":[20],"as":[21],"hint":[23],"or":[24],"an":[25,97],"explanatory":[26],"note":[27],"for":[28,31],"writing":[29],"learning":[30],"non-native":[32],"learners":[33],"English.":[35],"There":[36],"has":[37],"been":[38],"almost":[39],"no":[40],"work":[41,130],"on":[42,82],"nor":[45],"corpus":[46],"annotated":[47,72],"with":[48,73,96],"comments.":[50,75],"We":[51,76,122],"have":[52,77,105,124],"taken":[53],"the":[54,83,108],"first":[55],"step":[56],"by":[57],"creating":[58],"learner":[59],"corpora":[60],"consisting":[61],"approximately":[63],"1,900":[64],"essays":[65],"where":[66],"all":[67],"preposition":[68],"errors":[69],"are":[70],"manually":[71],"tested":[78],"three":[79],"baseline":[80,94],"methods":[81],"dataset,":[84],"showing":[85],"that":[86],"simple":[88],"neural":[89],"retrieval-based":[90],"method":[91],"sets":[92],"performance":[95],"F-measure":[98],"0.34":[100],"to":[101,110,116,118],"0.41.":[102],"Finally,":[103],"looked":[106],"into":[107],"results":[109],"explore":[111],"what":[112],"modifications":[113],"need":[115],"make":[117],"achieve":[119],"better":[120],"performance.":[121],"also":[123],"explored":[125],"problems":[126],"unaddressed":[127],"in":[128]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}