https://github.com/AJRunge523/entitylens
공식 코드Exploring Neural Entity Representations for Semantic Information
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Assigning a unique identity to entities (such as famous individuals, locations, or companies) mentioned in text (Source: Wikipedia).
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Exploring Neural Entity Representations for Semantic Information
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Towards Explaining STEM Document Classification using Mathematical Entity Linking
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Improving Biomedical Pretrained Language Models with Knowledge
Bio-YODIE: A Named Entity Linking System for Biomedical Text
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark
Joint Coreference Resolution and Character Linking for Multiparty Conversation
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
StrucTexT: Structured Text Understanding with Multi-Modal Transformers
Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Understanding Hard Negatives in Noise Contrastive Estimation
Learning Dynamic Context Augmentation for Global Entity Linking
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool
A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.