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coreference-resolution
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ianporada/coref-reeval
공식 코드https://github.com/ibm/docamr
공식 코드https://github.com/informagi/conversational-entity-linking-2022
공식 코드Personal Entity, Concept, and Named Entity Linking in Conversations
https://github.com/internlm/huixiangdou
공식 코드https://github.com/jchiyah/exloring-mm-in-simmc2
공식 코드https://github.com/jchiyah/exploring-mm-in-simmc2
공식 코드https://github.com/johngiorgi/seq2rel
공식 코드A sequence-to-sequence approach for document-level relation extraction
https://github.com/jsksxs360/prompt-event-coref-emnlp2023
공식 코드https://github.com/judicaelpoumay/event_entity_coref_ecb_plus
공식 코드A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution
https://github.com/juntaoy/aracoref
공식 코드https://github.com/juntaoy/dali-bridging
공식 코드Multi-task Learning Based Neural Bridging Reference Resolution
https://github.com/juntaoy/dali-md
공식 코드https://github.com/juntaoy/dali-plural
공식 코드Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution
https://github.com/kareldo/wl-coref
공식 코드CAW-coref: Conjunction-Aware Word-level Coreference Resolution
https://github.com/kawshikmanikantan/identifyme
공식 코드IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs
https://github.com/kiankd/events
공식 코드https://github.com/klimzaporojets/DWIE
공식 코드DWIE: an entity-centric dataset for multi-task document-level information extraction
https://github.com/klimzaporojets/consistent-el
공식 코드https://github.com/klimzaporojets/e2e-kb-ie
공식 코드https://github.com/kosciukiewicz/similarity_based_memory_re
공식 코드Similarity-based Memory Enhanced Joint Entity and Relation Extraction
https://github.com/kumar-shridhar/longtonotes
공식 코드https://github.com/laituan245/eventcoref
공식 코드https://github.com/lavis-nlp/jerex
공식 코드An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
https://github.com/lmmapplication/rakg
공식 코드RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
https://github.com/lucyyyw/ambicoref
공식 코드AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
https://github.com/luyaojie/E3C
공식 코드https://github.com/lxucs/coref-hoi
공식 코드Revealing the Myth of Higher-Order Inference in Coreference Resolution
https://github.com/lyutyuh/structured-span-selector
공식 코드https://github.com/mgrenander/sentence-incremental-coref
공식 코드https://github.com/mpoemsl/kitmus
공식 코드https://github.com/nle18/coref-llms
공식 코드https://github.com/nlp-chula/thai-coref
공식 코드https://github.com/ns-moosavi/coval
공식 코드https://github.com/ns-moosavi/epm
공식 코드Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
https://github.com/nupoorgandhi/data-eff-coref
공식 코드Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.