Papers with Entity typing
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains (2024.eacl-long)
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| Challenge: | Entity typing is the task of assigning semantic types to entities mentioned in text. |
| Approach: | They propose to pre-train an entity encoder such that embeddings of coreferring entities are more similar to each other. |
| Outcome: | The proposed method improves state-of-the-art on fine-grained entity typing and entity extraction. |
Put It Back: Entity Typing with Language Model Enhancement (D18-1)
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| Challenge: | Existing Entity typing models suffer from noisy labels due to distant supervision . |
| Approach: | They propose to enhance existing entity typing models with language model enhancement to measure compatibility between context sentences and labels. |
| Outcome: | The proposed model significantly outperforms the state-of-the-art model on benchmark datasets and is available on github. |
Generative Entity Typing with Curriculum Learning (2022.emnlp-main)
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| Challenge: | Entity typing fails to assign an entity to the types beyond the predefined type set. |
| Approach: | They propose a generative entity typing paradigm that assigns types to entities . traditional classification-based approaches fail to assign entities to the types beyond the predefined set . they employ curriculum learning to train the model on heterogeneous data . |
| Outcome: | The proposed model outperforms the state-of-the-art model on heterogeneous training data. |
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing (2022.emnlp-main)
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| Challenge: | Existing entity typing models are subject to spurious correlations due to shortcuts and biased training. |
| Approach: | They propose a method to augment existing model biases by combining spurious correlations with debiasedcounterparts to improve generalization. |
| Outcome: | The proposed method improves generalization of different entity typing models on the original and debiased test sets. |