Papers with Code 아카이브
Entity Linking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Assigning a unique identity to entities (such as famous individuals, locations, or companies) mentioned in text (Source: Wikipedia).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/carrliitos/NLPInformationExtraction
https://github.com/ctgatecci/Clinical-trial-eligibility-criteria-NER
Information Extraction of Clinical Trial Eligibility Criteria
https://github.com/epfl-dlab/multilingual-entity-insertion
https://github.com/epwalsh/pytorch-crf
https://github.com/facebookresearch/edin
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
https://github.com/facebookresearch/editeval
https://github.com/flairNLP/flair
https://github.com/hannaabiakl/psychic
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
https://github.com/hazyresearch/tabi
https://github.com/herobd/NAF_dataset
https://github.com/huggingface/transformers
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
https://github.com/impet14/interested_works
https://github.com/informagi/REL
https://github.com/jwallat/knowledge-probing
https://github.com/kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
https://github.com/krr-oxford/oet
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking
https://github.com/mdiannna/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs-adaptation
https://github.com/mshehrozsajjad/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
https://github.com/mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL
https://github.com/neulab/pivot-based-entity-linking
https://github.com/niccolot/NER_biLSTM-CNN
https://github.com/nkhl-p/glossBERT
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
https://github.com/open-vision-language/oven
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
https://github.com/osamadev/NER_Using_Spacy
https://github.com/priyaradhakrishnan0/ELDEN
https://github.com/pwc-1/Paper-9/tree/main/layoutlmv3
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
https://github.com/rikhuijzer/nlu_datasets
https://github.com/ruanchaves/BLINK
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
https://github.com/sebastianarnold/TeXoo
https://github.com/shakimov/SimpleQA-NER
https://github.com/shmsw25/GraphRetriever
https://github.com/shyamupa/hma-translit
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages
https://github.com/textflint/textflint
https://github.com/tintamarre1/NLP_word_sense_disambiguation
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
https://github.com/vasilikivmo/repo2_Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs_amalkraj
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.