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NER
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The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LucDomingo/pampo_plus
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese
https://github.com/MINGG2333/bert_ms
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
https://github.com/Mind23-2/MindCode-145
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
https://github.com/MindCode-4/code-5/tree/main/whisper
WhisperNER: Unified Open Named Entity and Speech Recognition
https://github.com/MindCode-4/code-5/tree/main/xlm
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge
https://github.com/MindCode-4/code-9/tree/main/RITA
RITA: Automatic Framework for Designing of Resilient IoT Applications
https://github.com/MindSpore-scientific/code-12/tree/main/Cybertron
DiffusionNER: Boundary Diffusion for Named Entity Recognition
https://github.com/MindSpore-scientific/code-5/tree/main/RITA
RITA: Automatic Framework for Designing of Resilient IoT Applications
https://github.com/Nealcly/BiLSTM-LAN
Hierarchically-Refined Label Attention Network for Sequence Labeling
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/nezha/modeling.py
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
https://github.com/Pirata-Codex/Tag-Persian-Entities-Using-Bert
https://github.com/RRRicky-Chao/clueNERtf_bert_wwm_nlpGroup1
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
https://github.com/Siddharthss500/zero-resource
https://github.com/Tuofengalways/ee_Model
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
https://github.com/UniversalDependencies/UD_Persian-PerDT
https://github.com/UniversalNER/uner_code
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
https://github.com/WinterShiver/Token-Path-Prediction
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
https://github.com/Yinghao-Li/Sparse-CHMM
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
https://github.com/aequivinius/covid
https://github.com/akurniawan/pytorch-sequence-tagger
https://github.com/allanj/dependency-guided-ner
https://github.com/andreaskuster/ner-and-pos-when-nothing-is-capitalized
https://github.com/bodasadalla98/arabic-ner
ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach
https://github.com/carrliitos/NLPInformationExtraction
Med7: a transferable clinical natural language processing model for electronic health records
https://github.com/changle2018/LexionAN-master
https://github.com/chaoyi-wu/pmc-llama
https://github.com/charles9n/bert-sklearn
https://github.com/ckiplab/ckiptagger
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
https://github.com/cmdowney88/embeddingstructure
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
https://github.com/congyingxia/Multi-Grained-NER
https://github.com/csse-uoft/scroll
Extracting Impact Model Narratives from Social Services' Text
https://github.com/ctgatecci/Clinical-trial-eligibility-criteria-NER
Information Extraction of Clinical Trial Eligibility Criteria
https://github.com/dbmdz/historic-ner
https://github.com/derekchen14/mixture_soft_prompts
https://github.com/edchengg/transfusion
Frustratingly Easy Label Projection for Cross-lingual Transfer
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