https://github.com/nicola-decao/efficient-autoregressive-EL
공식 코드Highly Parallel Autoregressive Entity Linking with Discriminative Correction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
DeepType: Multilingual Entity Linking by Neural Type System Evolution
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking
Learning Distributed Representations of Texts and Entities from Knowledge Base
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
EntGPT: Linking Generative Large Language Models with Knowledge Bases
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Learning Dynamic Context Augmentation for Global Entity Linking
Improving Entity Disambiguation by Reasoning over a Knowledge Base
Studying the Wikipedia Hyperlink Graph for Relatedness and Disambiguation
Deep Joint Entity Disambiguation with Local Neural Attention
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Deep Joint Entity Disambiguation with Local Neural Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.