Papers with Code 아카이브
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/epfl-dlab/pti-candgen
공식 코드Efficient Entity Candidate Generation for Low-Resource Languages
https://github.com/facebookresearch/BLINK
공식 코드Scalable Zero-shot Entity Linking with Dense Entity Retrieval
https://github.com/facebookresearch/BLINK/tree/master/elq
공식 코드https://github.com/facebookresearch/Clinical-Trial-Parser
공식 코드Information Extraction of Clinical Trial Eligibility Criteria
https://github.com/facebookresearch/GENRE
공식 코드https://github.com/facebookresearch/KILT
공식 코드https://github.com/facebookresearch/bela
공식 코드https://github.com/facebookresearch/groov
공식 코드Entity Tagging: Extracting Entities in Text Without Mention Supervision
https://github.com/fhgr/careercoach2022
공식 코드Slot Filling for Extracting Reskilling and Upskilling Options from the Web
https://github.com/fhou80/EntEmb
공식 코드Improving Entity Linking through Semantic Reinforced Entity Embeddings
https://github.com/flairnlp/cleanconll
공식 코드CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset
https://github.com/fonshartendorp/dutch_biomedical_entity_linking
공식 코드https://github.com/geekjuruo/beer2
공식 코드Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
https://github.com/giacbrd/CipCipPy
공식 코드On the Impact of Entity Linking in Microblog Real-Time Filtering
https://github.com/gipplab/MathQA
공식 코드Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling
https://github.com/google-research-datasets/contrack
공식 코드A Unified Approach to Entity-Centric Context Tracking in Social Conversations
https://github.com/happen2me/subgraph-retrieval-toolkit
공식 코드https://github.com/hecta-uom/ensemble-ner
공식 코드https://github.com/herobd/FUDGE
공식 코드https://github.com/hitsz-tmg/gemel
공식 코드https://github.com/hitsz-tmg/read-and-select
공식 코드https://github.com/hitsz-tmg/sparse-retrieval-fewshot-el
공식 코드https://github.com/hlt-mt/fbk-fairseq
공식 코드https://github.com/ict-bigdatalab/vnel
공식 코드https://github.com/informagi/conversational-entity-linking
공식 코드Conversational Entity Linking: Problem Definition and Datasets
https://github.com/informagi/conversational-entity-linking-2022
공식 코드Personal Entity, Concept, and Named Entity Linking in Conversations
https://github.com/informagi/fund-el
공식 코드Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases
https://github.com/informagi/reddit_ConEL
공식 코드Real World Conversational Entity Linking Requires More Than Zeroshots
https://github.com/javkonline/unimel
공식 코드UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
https://github.com/jiny1623/dynamicer
공식 코드DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
https://github.com/jlab-nlp/arxiv2formal
공식 코드https://github.com/juyeonnn/kgmel
공식 코드https://github.com/kingsaint/BioMedical-EL
공식 코드Fast and Effective Biomedical Entity Linking Using a Dual Encoder
https://github.com/klimzaporojets/DWIE
공식 코드DWIE: an entity-centric dataset for multi-task document-level information extraction
https://github.com/klimzaporojets/consistent-el
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.