https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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/2023-MindSpore-4/Code6/tree/main/SDNet
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/2023-MindSpore-4/Code8/tree/main/AttentionCluster
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/audio_spectrogram_transformer
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/deberta
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/deberta_v2
https://github.com/2024-MindSpore-1/Code3/tree/main/scBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2miatran/Natural-Language-Processing
https://github.com/ABaldrati/MT-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AGiannoutsos/COVID19-document-retrieval-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AbhishekD15/Sentiment-Analysis_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Achint08/e2e-coref-keras
https://github.com/AdamStein97/Semi-Supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AhmedYounes94/Semi-supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AlCorreia/FABIR
https://github.com/Alihassan7726/Fine-tuning-BERT-for-semantic-sentence-pairs-classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Alihassan7726/Multi-Class-classification-using-BERT-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Amy-1114/transformer
https://github.com/AndreiMoraru123/Neural-Machine-Translation
https://github.com/Andrey885/Machine_translation_PyTorch
https://github.com/ArdalanM/nlp-benchmarks
https://github.com/Arthurizijar/Bert_Airport
https://github.com/ArvidWartenberg/retrosynthesis
https://github.com/ArvinZhuang/BiTAG
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AshwinDeshpande96/Hierarchical-Softmax
https://github.com/AssafSinger94/sigmorphon-2020-inflection
https://github.com/AtluriNikhil/Image-Captioning
https://github.com/AtmaHou/MetaDialog
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AutomatedProgramRepair-2021/dear-auto-fix
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Aveek-Saha/Transformer
https://github.com/BasileBron/Artificial-Intelligence-Lexical
https://github.com/Belval/NRTR
https://github.com/Bhavnicksm/vanilla-transformer-jax
https://github.com/BinWang28/BERT_Sentence_Embedding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/BinWang28/SBERT-WK-Sentence-Embedding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/BirgerMoell/bertcastle
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.