Papers with Code 아카이브
Entity Disambiguation
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Entity Disambiguation is the task of linking mentions of ambiguous entities to their referent entities in a knowledge base such as Wikipedia.
Source: Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DeepLearnXMU/RRWEL
공식 코드Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
https://github.com/PhilippChr/CLOCQ
공식 코드https://github.com/UKPLab/starsem2018-entity-linking
공식 코드https://github.com/YoungXiyuan/DCA
공식 코드Learning Dynamic Context Augmentation for Global Entity Linking
https://github.com/ZeweiChu/EntEval
공식 코드EntEval: A Holistic Evaluation Benchmark for Entity Representations
https://github.com/alexa/kilm
공식 코드KILM: Knowledge Injection into Encoder-Decoder Language Models
https://github.com/alexa/refined
공식 코드ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
https://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/anthonywchen/AmbER-Sets
공식 코드Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
https://github.com/bloomberg/sgtb
공식 코드Collective Entity Disambiguation with Structured Gradient Tree Boosting
https://github.com/czhang99/SynonymNet
공식 코드Entity Synonym Discovery via Multipiece Bilateral Context Matching
https://github.com/dalab/deep-ed
공식 코드Deep Joint Entity Disambiguation with Local Neural Attention
https://github.com/dalab/end2end_neural_el
공식 코드https://github.com/dalab/pboh-entity-linking
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/dell-research-harvard/newswire
공식 코드Newswire: A Large-Scale Structured Database of a Century of Historical News
https://github.com/dice-group/universal_embeddings
공식 코드https://github.com/diegoolano/biomedical_interpretable_entity_representations
공식 코드https://github.com/e-tornike/sil
공식 코드https://github.com/epfl-dlab/gcd
공식 코드Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
https://github.com/facebookresearch/GENRE
공식 코드https://github.com/hazyresearch/medical-ned-integration
공식 코드Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
https://github.com/hitsz-tmg/read-and-select
공식 코드https://github.com/ibrahimself/fewtopner
공식 코드https://github.com/kingsaint/BioMedical-EL
공식 코드Fast and Effective Biomedical Entity Linking Using a Dual Encoder
https://github.com/kingsaint/Wikidata-Descriptions
공식 코드Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
https://github.com/klimzaporojets/tempel
공식 코드TempEL: Linking Dynamically Evolving and Newly Emerging Entities
https://github.com/lephong/wnel
공식 코드Boosting Entity Linking Performance by Leveraging Unlabeled Documents
https://github.com/lmmapplication/rakg
공식 코드RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
https://github.com/mingdachen/bilm-tf
공식 코드EntEval: A Holistic Evaluation Benchmark for Entity Representations
https://github.com/mulangonando/Impact-of-KG-Context-on-ED
공식 코드Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
https://github.com/nheist/Cat2Ax
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.