Papers with Code 아카이브
Named Entity Recognition (NER)
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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/toneli/rt-retrieving-and-thinking
공식 코드How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
https://github.com/tosingithub/sdesk
공식 코드Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks
https://github.com/tosingithub/tdesk
공식 코드Exploring Swedish & English fastText Embeddings for NER with the Transformer
https://github.com/trangvu/mlm4uda
공식 코드Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
https://github.com/tricktreat/diffusionner
공식 코드DiffusionNER: Boundary Diffusion for Named Entity Recognition
https://github.com/tricktreat/locate-and-label
공식 코드Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
https://github.com/tricktreat/piqn
공식 코드Parallel Instance Query Network for Named Entity Recognition
https://github.com/tricktreat/promptner
공식 코드PromptNER: Prompt Locating and Typing for Named Entity Recognition
https://github.com/txsun1997/nlp-paradigm-shift
공식 코드https://github.com/uber/ludwig
공식 코드https://github.com/uds-lsv/afro-maft
공식 코드Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
https://github.com/uds-lsv/anea
공식 코드ANEA: Distant Supervision for Low-Resource Named Entity Recognition
https://github.com/uds-lsv/noise-matrix-ner
공식 코드Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
https://github.com/uds-lsv/premise
공식 코드Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
https://github.com/uds-lsv/privacy-preserving-text-transformer
공식 코드https://github.com/uds-lsv/token-is-a-mask
공식 코드TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models
https://github.com/uds-lsv/transfer-distant-transformer-african
공식 코드https://github.com/uestc-gqj/baner
공식 코드BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
https://github.com/ufal/kazitext
공식 코드Understanding Model Robustness to User-generated Noisy Texts
https://github.com/ugiat/nercat
공식 코드NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan
https://github.com/uhuohuy/toponym-disambiguation-voting
공식 코드How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
https://github.com/umeannever/b2ner
공식 코드https://github.com/unveiled-the-red-hat/SEE-Few
공식 코드SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition
https://github.com/urchade/filtered-semi-markov-crf
공식 코드https://github.com/urchade/hner
공식 코드Hierarchical Transformer Model for Scientific Named Entity Recognition
https://github.com/usmaann/BioALBERT
공식 코드Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT
https://github.com/uyaseen/bionlp-ost-2019
공식 코드https://github.com/v-mipeng/LexiconAugmentedNER
공식 코드https://github.com/v-mipeng/LexiconNER
공식 코드Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
https://github.com/v-mipeng/TaskOOV
공식 코드Learning Task-specific Representation for Novel Words in Sequence Labeling
https://github.com/vietai/vit5
공식 코드ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation
https://github.com/vietnlp/etnlp
공식 코드ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task
https://github.com/vikas95/Pref_Suff_Span_NN
공식 코드A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
https://github.com/viktorooreps/guided-bond
공식 코드https://github.com/vncorenlp/VnCoreNLP
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.