entity typing

Conditional set generation using Seq2seq models EMNLP 2022 Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages ACL 2022 Cross-lingual Inference with A Chinese Entailment Graph ACL 2022 Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction ACL 2022 Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022 Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs COLING 2022 Generative Entity Typing with Curriculum Learning EMNLP 2022 How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing? ACL 2022 Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information COLING 2022 KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks COLING 2022 Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing ACL 2022 Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field EMNLP 2022 Prompt-learning for Fine-grained Entity Typing EMNLP 2022 ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking NAACL 2022 Transformer-based Entity Typing in Knowledge Graphs EMNLP 2022 Unified Semantic Typing with Meaningful Label Inference NAACL 2022 An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing EMNLP 2021 CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet ACL 2021 Context-aware Entity Typing in Knowledge Graphs EMNLP 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021 Fine-grained Entity Typing via Label Reasoning EMNLP 2021 Fine-grained General Entity Typing in German using GermaNet NAACL 2021 Fine-grained Typing of Emerging Entities in Microblogs EMNLP 2021 KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships EMNLP 2021 Learning with Different Amounts of Annotation: From Zero to Many Labels EMNLP 2021