Matches in SemOpenAlex for { <https://semopenalex.org/work/W3081056948> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3081056948 endingPage "102365" @default.
- W3081056948 startingPage "102365" @default.
- W3081056948 abstract "Coreference resolution is one of the fundamental tasks in natural language processing (NLP), and is of great significance to understand the semantics of texts. Meanwhile, resolving coreference is essential for many NLP downstream applications. Existing methods largely focus on pronouns, possessives and noun phrases resolution in the general domain, while little work is proposed for professional domains such as the legal field. Different from general texts, how to code legal texts and capture the relationship between entities in the text, and then resolve coreference is a challenging problem. For better understanding the legal text, and facilitating a series of downstream tasks in legal text mining, we propose a deep neural network model for coreference resolution in court record documents. Specifically, the pre-trained language model and bi-directional long short-term memory networks are first utilized to encode legal texts. Second, graph neural networks are applied to incorporate reference relations between entities. Finally, two distinct classifiers are used to score the candidate pairs. Results on the dataset show that our model achieves 87.53% F1 score on court record documents, outperforming neural baseline models by a large margin. Further analysis shows that the proposed method can effectively identify the reference relations between entities and model the entity dependencies." @default.
- W3081056948 created "2020-09-01" @default.
- W3081056948 creator A5020715333 @default.
- W3081056948 creator A5055938662 @default.
- W3081056948 creator A5058877618 @default.
- W3081056948 creator A5072670069 @default.
- W3081056948 creator A5085132030 @default.
- W3081056948 date "2020-11-01" @default.
- W3081056948 modified "2023-10-17" @default.
- W3081056948 title "A deep neural network model for speakers coreference resolution in legal texts" @default.
- W3081056948 cites W1497603085 @default.
- W3081056948 cites W2079735306 @default.
- W3081056948 cites W2180160918 @default.
- W3081056948 cites W2606005083 @default.
- W3081056948 cites W2751193242 @default.
- W3081056948 cites W2765348688 @default.
- W3081056948 cites W2780899891 @default.
- W3081056948 cites W2889154254 @default.
- W3081056948 cites W2910232415 @default.
- W3081056948 cites W2922285657 @default.
- W3081056948 cites W2949123513 @default.
- W3081056948 cites W2952419824 @default.
- W3081056948 cites W2953016680 @default.
- W3081056948 cites W2959055049 @default.
- W3081056948 cites W3028968453 @default.
- W3081056948 doi "https://doi.org/10.1016/j.ipm.2020.102365" @default.
- W3081056948 hasPublicationYear "2020" @default.
- W3081056948 type Work @default.
- W3081056948 sameAs 3081056948 @default.
- W3081056948 citedByCount "14" @default.
- W3081056948 countsByYear W30810569482021 @default.
- W3081056948 countsByYear W30810569482022 @default.
- W3081056948 countsByYear W30810569482023 @default.
- W3081056948 crossrefType "journal-article" @default.
- W3081056948 hasAuthorship W3081056948A5020715333 @default.
- W3081056948 hasAuthorship W3081056948A5055938662 @default.
- W3081056948 hasAuthorship W3081056948A5058877618 @default.
- W3081056948 hasAuthorship W3081056948A5072670069 @default.
- W3081056948 hasAuthorship W3081056948A5085132030 @default.
- W3081056948 hasConcept C119857082 @default.
- W3081056948 hasConcept C138268822 @default.
- W3081056948 hasConcept C154945302 @default.
- W3081056948 hasConcept C162324750 @default.
- W3081056948 hasConcept C184337299 @default.
- W3081056948 hasConcept C187736073 @default.
- W3081056948 hasConcept C199360897 @default.
- W3081056948 hasConcept C204321447 @default.
- W3081056948 hasConcept C2779135771 @default.
- W3081056948 hasConcept C2780451532 @default.
- W3081056948 hasConcept C28076734 @default.
- W3081056948 hasConcept C41008148 @default.
- W3081056948 hasConcept C50644808 @default.
- W3081056948 hasConcept C774472 @default.
- W3081056948 hasConceptScore W3081056948C119857082 @default.
- W3081056948 hasConceptScore W3081056948C138268822 @default.
- W3081056948 hasConceptScore W3081056948C154945302 @default.
- W3081056948 hasConceptScore W3081056948C162324750 @default.
- W3081056948 hasConceptScore W3081056948C184337299 @default.
- W3081056948 hasConceptScore W3081056948C187736073 @default.
- W3081056948 hasConceptScore W3081056948C199360897 @default.
- W3081056948 hasConceptScore W3081056948C204321447 @default.
- W3081056948 hasConceptScore W3081056948C2779135771 @default.
- W3081056948 hasConceptScore W3081056948C2780451532 @default.
- W3081056948 hasConceptScore W3081056948C28076734 @default.
- W3081056948 hasConceptScore W3081056948C41008148 @default.
- W3081056948 hasConceptScore W3081056948C50644808 @default.
- W3081056948 hasConceptScore W3081056948C774472 @default.
- W3081056948 hasFunder F4320321001 @default.
- W3081056948 hasFunder F4320335987 @default.
- W3081056948 hasIssue "6" @default.
- W3081056948 hasLocation W30810569481 @default.
- W3081056948 hasOpenAccess W3081056948 @default.
- W3081056948 hasPrimaryLocation W30810569481 @default.
- W3081056948 hasRelatedWork W2139373276 @default.
- W3081056948 hasRelatedWork W2227889443 @default.
- W3081056948 hasRelatedWork W2380610138 @default.
- W3081056948 hasRelatedWork W3041549465 @default.
- W3081056948 hasRelatedWork W3167631113 @default.
- W3081056948 hasRelatedWork W3171444480 @default.
- W3081056948 hasRelatedWork W3212412177 @default.
- W3081056948 hasRelatedWork W4206648670 @default.
- W3081056948 hasRelatedWork W4385749782 @default.
- W3081056948 hasRelatedWork W2529509480 @default.
- W3081056948 hasVolume "57" @default.
- W3081056948 isParatext "false" @default.
- W3081056948 isRetracted "false" @default.
- W3081056948 magId "3081056948" @default.
- W3081056948 workType "article" @default.