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Entity Linking
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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/allenai/s2abel
공식 코드https://github.com/amazon-research/ReFinED
공식 코드ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
https://github.com/amazon-science/e2e-docie
공식 코드REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
https://github.com/amore-upf/analysis-entity-centric-nns
공식 코드What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
https://github.com/andreagemelli/doc2graph
공식 코드Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
https://github.com/apple/ml-kge
공식 코드Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
https://github.com/avature/melo-benchmark
공식 코드MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations
https://github.com/awslabs/decode-answer-logical-form
공식 코드DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
https://github.com/bxshi/ConMask
공식 코드https://github.com/cambridgeltl/cometa
공식 코드COMETA: A Corpus for Medical Entity Linking in the Social Media
https://github.com/cambridgeltl/mirror-bert
공식 코드https://github.com/cambridgeltl/sapbert
공식 코드Self-Alignment Pretraining for Biomedical Entity Representations
https://github.com/cea-list-lasti/MEL_Tweets
공식 코드https://github.com/chanzuckerberg/MedMentions
공식 코드Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
https://github.com/chongzhangFDU/ROOR
공식 코드Rethinking the Evaluation of Pre-trained Text-and-Layout Models from an Entity-Centric Perspective
https://github.com/chongzhangfdu/tpp
공식 코드Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
https://github.com/cogcomp/event-linking
공식 코드https://github.com/curai/curai-research
공식 코드OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction
https://github.com/dalab/end2end_neural_el
공식 코드https://github.com/dalab/pboh-entity-linking
공식 코드https://github.com/data-engineering-and-semantics/openkgbiblio
공식 코드https://github.com/dave-s477/somesci_code
공식 코드https://github.com/deba-iitbh/gst-ned
공식 코드Unsupervised Named Entity Disambiguation for Low Resource Domains
https://github.com/debayan/pnel
공식 코드PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
https://github.com/dfki-nlp/mobie
공식 코드https://github.com/dhdhagar/arboEL
공식 코드Entity Linking and Discovery via Arborescence-based Supervised Clustering
https://github.com/dice-group/AGDISTIS_DEMO
공식 코드https://github.com/dice-group/BENGAL
공식 코드BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking
https://github.com/diegoemilio01/sparql-generation-with-entity-pre-trained-gpt-for-kg-question-answering
공식 코드SPARQL Generation with Entity Pre-trained GPT for KG Question Answering
https://github.com/dmis-lab/angel
공식 코드Learning from Negative Samples in Generative Biomedical Entity Linking
https://github.com/donnyslin/KCAT
공식 코드https://github.com/druv022/Disease-Normalization-with-Graph-Embeddings
공식 코드https://github.com/edchengg/oven_eval
공식 코드Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
https://github.com/elliotschu/crosslingual-el
공식 코드Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking
https://github.com/epfl-dlab/eigenthemes
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.