Papers with Code 아카이브
Part-Of-Speech Tagging
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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/v-mipeng/TaskOOV
공식 코드Learning Task-specific Representation for Novel Words in Sequence Labeling
https://github.com/vncorenlp/VnCoreNLP
공식 코드https://github.com/webspellchecker/unlp-2023-shared-task
공식 코드RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans
https://github.com/wietsedv/bertje
공식 코드https://github.com/wietsedv/bertje/tree/master/probing
공식 코드https://github.com/wlin12/JNN
공식 코드Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
https://github.com/xuandongzhao/drw
공식 코드Distillation-Resistant Watermarking for Model Protection in NLP
https://github.com/yannikbenz/zeroe
공식 코드From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
https://github.com/ynchuang/discoverpath
공식 코드https://github.com/yuhengwang1/kalm-fl
공식 코드https://github.com/yzhangcs/crfpar
공식 코드Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese
https://github.com/zhaoyanpeng/lveg
공식 코드https://huggingface.co/disk0dancer/ruBert-base-finetuned-pos
공식 코드POS-tagging to highlight the skeletal structure of sentences
https://worksheets.codalab.org/worksheets/0xb0c351d6f1ac4c51b54f1023786bf6b2
공식 코드https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/bertweet
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/camembert
https://github.com/8400thehealthnetwork/hebsafeharbor
AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
https://github.com/AI-secure/Transferability-Reduced-Smooth-Ensemble
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/Akshayanti/supersense-sequence-labelling
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
https://github.com/Asteur/someChatbot
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
https://github.com/Billotais/TDDE09_project
Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
https://github.com/Cadden/paddle-adver
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/DongjunLee/dmn-tensorflow
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
https://github.com/EPFL-VILAB/XDEnsembles
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/EeshaanJain/natural-language-processing
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
https://github.com/EggplantElf/sclem2017-tagger
https://github.com/FID-Biodiversity/GermanWordEmbeddings-NER
Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora
https://github.com/Hadisalman/robust-verify-benchmark
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/IBM/MAX-Named-Entity-Tagger
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
https://github.com/Jeffkang-94/pytorch-adversarial-attack
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/Karthik-Bhaskar/Context-Based-Question-Answering
https://github.com/KnowledgeDiscovery/FaceSec
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/LIAAD/py-pampo
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese
https://github.com/LahiruSen/S-LSTM_Sinhala
https://github.com/LucDomingo/pampo_plus
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.