https://github.com/chen700564/supercd
공식 코드Few-shot Named Entity Recognition via Superposition Concept Discrimination
Papers with Code 아카이브
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/chongzhangfdu/tpp
공식 코드Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
https://github.com/cimm-kzn/RuDReC
공식 코드https://github.com/ckgconstruction/bdcp
공식 코드Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
https://github.com/clairebarale/refugee_cases_ner
공식 코드Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners
https://github.com/cliang1453/BOND
공식 코드BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
https://github.com/cocacola-lab/collabkg
공식 코드https://github.com/cod3licious/conec
공식 코드Context encoders as a simple but powerful extension of word2vec
https://github.com/codermusou/nflat4cner
공식 코드NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition
https://github.com/cogstack/foresight
공식 코드Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs
https://github.com/compnet/ddaugner
공식 코드Data Augmentation for Robust Character Detection in Fantasy Novels
https://github.com/compnet/splice
공식 코드The Role of Natural Language Processing Tasks in Automatic Literary Character Network Construction
https://github.com/conglei2xu/global-context-mechanism
공식 코드Supplementary Features of BiLSTM for Enhanced Sequence Labeling
https://github.com/contextscout/gcn_ner
공식 코드https://github.com/cosylabiiit/recipe-knowledge-mining
공식 코드https://github.com/cross-lingual-ner/projection-data-transfer-cross-lingual-ner
공식 코드https://github.com/cslydia/BiFlaG
공식 코드Bipartite Flat-Graph Network for Nested Named Entity Recognition
https://github.com/cslydia/Hire-NER
공식 코드Hierarchical Contextualized Representation for Named Entity Recognition
https://github.com/csu-signal/xlingual-robustness
공식 코드Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
https://github.com/cuhksz-nlp/AESINER
공식 코드Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
https://github.com/cuhksz-nlp/SANER
공식 코드Named Entity Recognition for Social Media Texts with Semantic Augmentation
https://github.com/d-gurgurov/Injecting-Commonsense-Knowledge-into-LLMs
공식 코드Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
https://github.com/dair-iitd/zgul
공식 코드https://github.com/daixiangau/acl2020-transition-discontinuous-ner
공식 코드https://github.com/dalab/end2end_neural_el
공식 코드https://github.com/damo-nlp-sg/contproto
공식 코드https://github.com/davidandym/multilingual-NER
공식 코드Sources of Transfer in Multilingual Named Entity Recognition
https://github.com/dbmdz/berts
공식 코드https://github.com/dccuchile/lightweight-spanish-language-models
공식 코드https://github.com/declare-lab/vip
공식 코드Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
https://github.com/deezer/music-ner-eacl2023
공식 코드https://github.com/dfki-nlp/fewie
공식 코드A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition
https://github.com/dfki-nlp/mobie
공식 코드https://github.com/dhfbk/kind
공식 코드KIND: an Italian Multi-Domain Dataset for Named Entity Recognition
https://github.com/dialogue-evaluation/runne
공식 코드https://github.com/diego-alvarado/nlp_for_pharma_manufacturing
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.