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license: mit |
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language: |
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- en |
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base_model: |
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- google-t5/t5-large |
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## CASENT |
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CASENT is a lightweight multi-label entity classification model designed for extremely large label space (e.g., UFET and WikiData). It can also be used for entity extraction and tagging when integrated with a span detector. |
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CASENT offers several advantages compared to previous methods: 1) Standard maximum likelihood training; 2) Efficient inference through a single autoregressive decoding pass; 3) Calibrated confidence scores; 4) Strong generalization performance to unseen domains and types. |
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Paper: [Calibrated Seq2Seq Models for Efficient and Generalizable Ultra-fine Entity Typing](https://arxiv.org/pdf/2311.00835) (EMNLP 2023 Findings) |
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Repository & Demo: https://github.com/yanlinf/CASENT |
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Contact: [email protected] |
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