Papers with Code 아카이브
Coreference Resolution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 16
- 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/Sikun/dlam_project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SindhuMadi/FakeNewsDetection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SkullFang/BERT_NLP_Classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Skumarr53/Attention-is-All-you-Need-PyTorch
https://github.com/Soren-Kierkegaard/BERT-for-tweet-Classifcation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SpikeKing/My-Bert
https://github.com/StevenLai1994/AM_and_LM
https://github.com/StillKeepTry/Transformer-PyTorch
https://github.com/StoneGH/bert
https://github.com/StuartCHAN/KARL
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/SumitM0432/Quora-Insincere-Questions-Classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Susheel-1999/Sentence_Similarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Sypherd/lm-evaluation-harness
https://github.com/TEAMLAB-Lecture/deep_nlp_101
https://github.com/THUNLP-MT/THUMT
https://github.com/TOSHISTATS/Classification-of-Japanese-news-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TSLNIHAOGIT/bert
https://github.com/TSLNIHAOGIT/bert_run
https://github.com/TYTYTYTYTYTYTYTYTY/558-project
https://github.com/TangJiaLong/Knowledge-Projection-for-ERE
https://github.com/TannerFry/CS522-Final-Project
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TeamLab/bert-gcn-for-paper-citation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Tencent/TurboTransformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/The-AI-Summer/self_attention
https://github.com/TheNeuromancer/SentEmb
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TheTensorDude/transformer-tf
https://github.com/TidalPaladin/neural-summarizer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TieDanCuihua/transformer-Attention-is-All-You-Need
https://github.com/TonyX19/bert_hyperpartisan
https://github.com/UKPLab/elmo-bilstm-cnn-crf
https://github.com/UdbhavPrasad072300/Transformer-Implementation
https://github.com/UdbhavPrasad072300/Transformer-Implementation-and-Language-Translation
https://github.com/UdbhavPrasad072300/Transformer-Implementations
https://github.com/Unbabel/COMET
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/UnknownGenie/altered-BERT-KPE
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.