https://github.com/voxmenthe/OmniNet_1
OmniNet: A unified architecture for multi-modal multi-task learning
Papers with Code 아카이브
Part-Of-Speech Tagging
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 15
- 보존된 평가 기록
- 48
Part-of-speech tagging (POS tagging) is the task of tagging a word in a text with its part of speech. A part of speech is a category of words with similar grammatical properties. Common English parts of speech are noun, verb, adjective, adverb, pronoun, preposition, conjunction, etc.
Example:
| Vinken | , | 61 | years | old |
|---|---|---|---|---|
| NNP | , | CD | NNS | JJ |
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xhan77/AdaptaBERT
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
https://github.com/yangyucheng000/papercode-2/tree/main/DOEmindspore-main
https://github.com/ye-kyaw-thu/preprints
https://github.com/zalandoresearch/flair
https://github.com/zh217/torch-dct
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
https://github.com/zhangyuwangumass/Glyph-based-Chinese-Character-Embedding
https://github.com/zhaoyuesun/phee
Automated Concatenation of Embeddings for Structured Prediction
https://github.com/zibojia/rslad
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/zjfheart/Friendly-Adversarial-Training
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/zysite/post
Empower Sequence Labeling with Task-Aware Neural Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.