Multi-Granularity Information Interaction Framework for Incomplete Utterance Rewriting Article Swipe
Haowei Du
,
Dinghao Zhang
,
Chen Li
,
Yang Li
,
Dongyan Zhao
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2023.findings-emnlp.168
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2023.findings-emnlp.168
Recent approaches in Incomplete Utterance Rewriting (IUR) fail to capture the source of important words, which is crucial to edit the incomplete utterance, and introduce words from irrelevant utterances. We propose a novel and effective multi-task information interaction framework including context selection, edit matrix construction, and relevance merging to capture the multi-granularity of semantic information. Benefiting from fetching the relevant utterance and figuring out the important words, our approach outperforms existing state-of-the-art models on two benchmark datasets Restoration-200K and CANAND in this field.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2023.findings-emnlp.168
- https://aclanthology.org/2023.findings-emnlp.168.pdf
- OA Status
- gold
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389519964
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4389519964Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2023.findings-emnlp.168Digital Object Identifier
- Title
-
Multi-Granularity Information Interaction Framework for Incomplete Utterance RewritingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Haowei Du, Dinghao Zhang, Chen Li, Yang Li, Dongyan ZhaoList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2023.findings-emnlp.168Publisher landing page
- PDF URL
-
https://aclanthology.org/2023.findings-emnlp.168.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2023.findings-emnlp.168.pdfDirect OA link when available
- Concepts
-
Utterance, Computer science, Context (archaeology), Granularity, Rewriting, Natural language processing, Benchmark (surveying), Selection (genetic algorithm), Artificial intelligence, Structuring, Programming language, Economics, Biology, Geodesy, Geography, Finance, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4389519964 |
|---|---|
| doi | https://doi.org/10.18653/v1/2023.findings-emnlp.168 |
| ids.doi | https://doi.org/10.18653/v1/2023.findings-emnlp.168 |
| ids.openalex | https://openalex.org/W4389519964 |
| fwci | 0.0 |
| type | article |
| title | Multi-Granularity Information Interaction Framework for Incomplete Utterance Rewriting |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 2581 |
| biblio.first_page | 2576 |
| topics[0].id | https://openalex.org/T10028 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Topic Modeling |
| topics[1].id | https://openalex.org/T10181 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9993000030517578 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Natural Language Processing Techniques |
| topics[2].id | https://openalex.org/T12031 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9980999827384949 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Speech and dialogue systems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2775852435 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8859794735908508 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q258403 |
| concepts[0].display_name | Utterance |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.8547228574752808 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C2779343474 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5932804346084595 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q3109175 |
| concepts[2].display_name | Context (archaeology) |
| concepts[3].id | https://openalex.org/C177774035 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5491788387298584 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1246948 |
| concepts[3].display_name | Granularity |
| concepts[4].id | https://openalex.org/C154690210 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5157566070556641 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1668499 |
| concepts[4].display_name | Rewriting |
| concepts[5].id | https://openalex.org/C204321447 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5008673667907715 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[5].display_name | Natural language processing |
| concepts[6].id | https://openalex.org/C185798385 |
| concepts[6].level | 2 |
| concepts[6].score | 0.49692943692207336 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1161707 |
| concepts[6].display_name | Benchmark (surveying) |
| concepts[7].id | https://openalex.org/C81917197 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4943511486053467 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q628760 |
| concepts[7].display_name | Selection (genetic algorithm) |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.4599640965461731 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C2775945657 |
| concepts[9].level | 2 |
| concepts[9].score | 0.44056209921836853 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q381442 |
| concepts[9].display_name | Structuring |
| concepts[10].id | https://openalex.org/C199360897 |
| concepts[10].level | 1 |
| concepts[10].score | 0.1274040937423706 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[10].display_name | Programming language |
| concepts[11].id | https://openalex.org/C162324750 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[11].display_name | Economics |
| concepts[12].id | https://openalex.org/C86803240 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[12].display_name | Biology |
| concepts[13].id | https://openalex.org/C13280743 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q131089 |
| concepts[13].display_name | Geodesy |
| concepts[14].id | https://openalex.org/C205649164 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[14].display_name | Geography |
| concepts[15].id | https://openalex.org/C10138342 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q43015 |
| concepts[15].display_name | Finance |
| concepts[16].id | https://openalex.org/C151730666 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[16].display_name | Paleontology |
| keywords[0].id | https://openalex.org/keywords/utterance |
| keywords[0].score | 0.8859794735908508 |
| keywords[0].display_name | Utterance |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.8547228574752808 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/context |
| keywords[2].score | 0.5932804346084595 |
| keywords[2].display_name | Context (archaeology) |
| keywords[3].id | https://openalex.org/keywords/granularity |
| keywords[3].score | 0.5491788387298584 |
| keywords[3].display_name | Granularity |
| keywords[4].id | https://openalex.org/keywords/rewriting |
| keywords[4].score | 0.5157566070556641 |
| keywords[4].display_name | Rewriting |
| keywords[5].id | https://openalex.org/keywords/natural-language-processing |
| keywords[5].score | 0.5008673667907715 |
| keywords[5].display_name | Natural language processing |
| keywords[6].id | https://openalex.org/keywords/benchmark |
| keywords[6].score | 0.49692943692207336 |
| keywords[6].display_name | Benchmark (surveying) |
| keywords[7].id | https://openalex.org/keywords/selection |
| keywords[7].score | 0.4943511486053467 |
| keywords[7].display_name | Selection (genetic algorithm) |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.4599640965461731 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/structuring |
| keywords[9].score | 0.44056209921836853 |
| keywords[9].display_name | Structuring |
| keywords[10].id | https://openalex.org/keywords/programming-language |
| keywords[10].score | 0.1274040937423706 |
| keywords[10].display_name | Programming language |
| language | en |
| locations[0].id | doi:10.18653/v1/2023.findings-emnlp.168 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://aclanthology.org/2023.findings-emnlp.168.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Findings of the Association for Computational Linguistics: EMNLP 2023 |
| locations[0].landing_page_url | https://doi.org/10.18653/v1/2023.findings-emnlp.168 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5085407854 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9052-1587 |
| authorships[0].author.display_name | Haowei Du |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].raw_affiliation_string | Ant Group |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I20231570 |
| authorships[0].affiliations[1].raw_affiliation_string | Wangxuan Institute of Computer Technology, Peking University |
| authorships[0].affiliations[2].institution_ids | https://openalex.org/I20231570 |
| authorships[0].affiliations[2].raw_affiliation_string | Institute for Artificial Intelligence, Peking University |
| authorships[0].institutions[0].id | https://openalex.org/I20231570 |
| authorships[0].institutions[0].ror | https://ror.org/02v51f717 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I20231570 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Peking University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Haowei Du |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Ant Group, Institute for Artificial Intelligence, Peking University, Wangxuan Institute of Computer Technology, Peking University |
| authorships[1].author.id | https://openalex.org/A5113880776 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0469-5116 |
| authorships[1].author.display_name | Dinghao Zhang |
| authorships[1].affiliations[0].raw_affiliation_string | Ant Group |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dinghao Zhang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Ant Group |
| authorships[2].author.id | https://openalex.org/A5100369870 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-7508-7222 |
| authorships[2].author.display_name | Chen Li |
| authorships[2].affiliations[0].raw_affiliation_string | Ant Group |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Chen Li |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Ant Group |
| authorships[3].author.id | https://openalex.org/A5100709803 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1437-1198 |
| authorships[3].author.display_name | Yang Li |
| authorships[3].affiliations[0].raw_affiliation_string | Ant Group |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Yang Li |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Ant Group |
| authorships[4].author.id | https://openalex.org/A5037132097 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0396-6703 |
| authorships[4].author.display_name | Dongyan Zhao |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I20231570 |
| authorships[4].affiliations[0].raw_affiliation_string | Wangxuan Institute of Computer Technology, Peking University |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I20231570 |
| authorships[4].affiliations[1].raw_affiliation_string | Institute for Artificial Intelligence, Peking University |
| authorships[4].institutions[0].id | https://openalex.org/I20231570 |
| authorships[4].institutions[0].ror | https://ror.org/02v51f717 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I20231570 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Peking University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Dongyan Zhao |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Institute for Artificial Intelligence, Peking University, Wangxuan Institute of Computer Technology, Peking University |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aclanthology.org/2023.findings-emnlp.168.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Multi-Granularity Information Interaction Framework for Incomplete Utterance Rewriting |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10028 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Topic Modeling |
| related_works | https://openalex.org/W2931688134, https://openalex.org/W4394443292, https://openalex.org/W2120204135, https://openalex.org/W4251394462, https://openalex.org/W2377919138, https://openalex.org/W1580673008, https://openalex.org/W2139396251, https://openalex.org/W2529301793, https://openalex.org/W2378857091, https://openalex.org/W2384121599 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.18653/v1/2023.findings-emnlp.168 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://aclanthology.org/2023.findings-emnlp.168.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Findings of the Association for Computational Linguistics: EMNLP 2023 |
| best_oa_location.landing_page_url | https://doi.org/10.18653/v1/2023.findings-emnlp.168 |
| primary_location.id | doi:10.18653/v1/2023.findings-emnlp.168 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://aclanthology.org/2023.findings-emnlp.168.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Findings of the Association for Computational Linguistics: EMNLP 2023 |
| primary_location.landing_page_url | https://doi.org/10.18653/v1/2023.findings-emnlp.168 |
| publication_date | 2023-01-01 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W4287692858, https://openalex.org/W4205105495, https://openalex.org/W1901129140, https://openalex.org/W4288614645, https://openalex.org/W4283399282, https://openalex.org/W3100063812, https://openalex.org/W4225305852, https://openalex.org/W2970960706, https://openalex.org/W4223480327, https://openalex.org/W2896457183, https://openalex.org/W2952855649, https://openalex.org/W4287855113, https://openalex.org/W2964223283, https://openalex.org/W2888302696, https://openalex.org/W2798122215, https://openalex.org/W2154652894 |
| referenced_works_count | 16 |
| abstract_inverted_index.a | 31 |
| abstract_inverted_index.We | 29 |
| abstract_inverted_index.in | 2, 80 |
| abstract_inverted_index.is | 16 |
| abstract_inverted_index.of | 12, 52 |
| abstract_inverted_index.on | 73 |
| abstract_inverted_index.to | 8, 18, 48 |
| abstract_inverted_index.and | 23, 33, 45, 61, 78 |
| abstract_inverted_index.our | 67 |
| abstract_inverted_index.out | 63 |
| abstract_inverted_index.the | 10, 20, 50, 58, 64 |
| abstract_inverted_index.two | 74 |
| abstract_inverted_index.edit | 19, 42 |
| abstract_inverted_index.fail | 7 |
| abstract_inverted_index.from | 26, 56 |
| abstract_inverted_index.this | 81 |
| abstract_inverted_index.(IUR) | 6 |
| abstract_inverted_index.novel | 32 |
| abstract_inverted_index.which | 15 |
| abstract_inverted_index.words | 25 |
| abstract_inverted_index.CANAND | 79 |
| abstract_inverted_index.Recent | 0 |
| abstract_inverted_index.field. | 82 |
| abstract_inverted_index.matrix | 43 |
| abstract_inverted_index.models | 72 |
| abstract_inverted_index.source | 11 |
| abstract_inverted_index.words, | 14, 66 |
| abstract_inverted_index.capture | 9, 49 |
| abstract_inverted_index.context | 40 |
| abstract_inverted_index.crucial | 17 |
| abstract_inverted_index.merging | 47 |
| abstract_inverted_index.propose | 30 |
| abstract_inverted_index.approach | 68 |
| abstract_inverted_index.datasets | 76 |
| abstract_inverted_index.existing | 70 |
| abstract_inverted_index.fetching | 57 |
| abstract_inverted_index.figuring | 62 |
| abstract_inverted_index.relevant | 59 |
| abstract_inverted_index.semantic | 53 |
| abstract_inverted_index.Rewriting | 5 |
| abstract_inverted_index.Utterance | 4 |
| abstract_inverted_index.benchmark | 75 |
| abstract_inverted_index.effective | 34 |
| abstract_inverted_index.framework | 38 |
| abstract_inverted_index.important | 13, 65 |
| abstract_inverted_index.including | 39 |
| abstract_inverted_index.introduce | 24 |
| abstract_inverted_index.relevance | 46 |
| abstract_inverted_index.utterance | 60 |
| abstract_inverted_index.Benefiting | 55 |
| abstract_inverted_index.Incomplete | 3 |
| abstract_inverted_index.approaches | 1 |
| abstract_inverted_index.incomplete | 21 |
| abstract_inverted_index.irrelevant | 27 |
| abstract_inverted_index.multi-task | 35 |
| abstract_inverted_index.selection, | 41 |
| abstract_inverted_index.utterance, | 22 |
| abstract_inverted_index.information | 36 |
| abstract_inverted_index.interaction | 37 |
| abstract_inverted_index.outperforms | 69 |
| abstract_inverted_index.utterances. | 28 |
| abstract_inverted_index.information. | 54 |
| abstract_inverted_index.construction, | 44 |
| abstract_inverted_index.Restoration-200K | 77 |
| abstract_inverted_index.state-of-the-art | 71 |
| abstract_inverted_index.multi-granularity | 51 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.19719142 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |