Papers with Code 아카이브
Coreference Resolution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
- 154
Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities.
Example:
+-----------+
| |
I voted for Obama because he was most aligned with my values", she said.
| | |
+-------------------------------------------------+------------+
"I", "my", and "she" belong to the same cluster and "Obama" and "he" belong to the same cluster.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/text-machine-lab/entity-coref
공식 코드https://github.com/tugas-akhir-nlp/indonesian-coreference-resolution-cnn
공식 코드https://github.com/ucfnlp/points-of-correspondence
공식 코드Understanding Points of Correspondence between Sentences for Abstractive Summarization
https://github.com/uds-lsv/winopron
공식 코드WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
https://github.com/ufal/corefud-scorer
공식 코드Findings of the Shared Task on Multilingual Coreference Resolution
https://github.com/ufal/crac2022-corpipe
공식 코드ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution
https://github.com/ufal/crac2023-corpipe
공식 코드ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution
https://github.com/ufal/crac2024-corpipe
공식 코드CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Text
https://github.com/vdobrovolskii/wl-coref
공식 코드https://github.com/vico-uoe/cin-ssl
공식 코드Semi-supervised multimodal coreference resolution in image narrations
https://github.com/vid-koci/bert-commonsense
공식 코드https://github.com/vid-koci/weightingGAP
공식 코드The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
https://github.com/vladimir-ershov/adgm-kg1
공식 코드https://github.com/wenzhengzhang/seq2seqcoref
공식 코드https://github.com/willemsenbram/a-game-of-sorts
공식 코드https://github.com/yangyiben/G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning
공식 코드https://github.com/yehudit96/coreferrability
공식 코드https://github.com/yehudit96/event_entity_coref_ecb_plus
공식 코드https://github.com/yilunzhu/coref-mtl
공식 코드https://github.com/yilunzhu/ontogum
공식 코드OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
https://github.com/yilunzhu/splice
공식 코드SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution
https://github.com/yuvalkirstain/s2e-coref
공식 코드https://bitbucket.org/luanyi/scierc
https://github.com/04RR/SOTA-Vision
https://github.com/1wy/bert
https://github.com/2023-MindSpore-1/ms-code-11
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-12
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/Transformer
https://github.com/2023-MindSpore-1/ms-code-150
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-154
https://github.com/2023-MindSpore-1/ms-code-164
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/2023-MindSpore-1/ms-code-190
https://github.com/2023-MindSpore-1/ms-code-218/tree/main/sdne
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/2023-MindSpore-1/ms-code-56
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.