https://github.com/alibaba-nlp/kb-ner
공식 코드DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
Papers with Code 아카이브
Multilingual Named Entity Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bheinzerling/subword-sequence-tagging
공식 코드https://github.com/bltlab/paranames
공식 코드ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using Wikidata
https://github.com/davidandym/multilingual-NER
공식 코드Sources of Transfer in Multilingual Named Entity Recognition
https://github.com/huertas97/xx_ner_wordcamouflage
공식 코드https://github.com/iacercalixto/visualsem
공식 코드Endowing Language Models with Multimodal Knowledge Graph Representations
https://github.com/ikergarcia1996/context-enriched-ner
공식 코드https://github.com/ixa-ehu/ixa-pipe-nerc
공식 코드Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features
https://github.com/modelscope/adaseq
공식 코드https://github.com/UniversalNER/uner_code
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
https://github.com/bigscience-workshop/historical_texts
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
https://github.com/king-menin/slavic-ner
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
https://github.com/opennlg/openba-v2
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
https://github.com/sberbank-ai/ner-bert
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.