https://github.com/yangyucheng000/University/tree/main/model-1/rembert
Rethinking embedding coupling in pre-trained language models
Papers with Code 아카이브
Named Entity Recognition (NER)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 13
- 평가표
- 76
- 보존된 평가 기록
- 439
Named Entity Recognition (NER) is a task of Natural Language Processing (NLP) that involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. The goal of NER is to extract structured information from unstructured text data and represent it in a machine-readable format. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.
Example:
| Mark | Watney | visited | Mars |
|---|---|---|---|
| B-PER | I-PER | O | B-LOC |
<span style="color:grey; opacity: 0.6">( Image credit: Zalando )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yangyucheng000/University/tree/main/model-2/electra
ELECTRAMed: a new pre-trained language representation model for biomedical NLP
https://github.com/yangyucheng000/University/tree/main/model-2/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/yangyucheng000/University/tree/main/model-3/rembert
Rethinking embedding coupling in pre-trained language models
https://github.com/yangyucheng000/ascend_albert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangyucheng000/bert_Ascend
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangyucheng000/bert_GPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangzonglin1994/bilm-tf-extended
https://github.com/yanzhitech/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ye-kyaw-thu/preprints
https://github.com/yifding/hetseq
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yiyc-kor/bert-study
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ymcui/LAMB_Optimizer_TF
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yoshitomo-matsubara/torchdistill
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/young-zonglin/bilm-tf-extended
https://github.com/ypeleg/MinimalIsAllYouNeed
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuanjing-zhu/elmo
https://github.com/yuanxiaosc/ELMo
https://github.com/yuchenlin/CDMA-NER
Neural Adaptation Layers for Cross-domain Named Entity Recognition
https://github.com/yuelinan/c3vg
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuhangT/tf_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuwfan/FILTER
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
https://github.com/yuzhimanhua/Multi-BioNER
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
https://github.com/yyHaker/NamedEntityRecognition
https://github.com/yydai/bert_test
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zaaztt/bert_chinese_example
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zalandoresearch/flair
https://github.com/zapplea/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zaradana/Fast_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zer0sh0t/artificial_intelligence/tree/master/language_models/bidirectional_encoder_representations_from_transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zhang-huihui/git-repository
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zhangyuwangumass/Glyph-based-Chinese-Character-Embedding
https://github.com/zhaoyuesun/phee
Automated Concatenation of Embeddings for Structured Prediction
https://github.com/zhengcj1/ChID-Dataset
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zifengcheng/cdap
https://github.com/zjuym/chinese_cws_ner
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.