俗艳
发表于 2025-3-25 04:59:16
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MILK
发表于 2025-3-25 09:03:56
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两栖动物
发表于 2025-3-25 12:51:00
Abstains from Prediction: Towards Robust Relation Extraction in Real Worldredictions when exposed to samples of unseen relations. In this work, we propose a relation extraction method with rejection option to improve robustness to unseen relations. To enable the classifier to reject unseen relations, we introduce contrastive learning techniques and carefully design a set
Synthesize
发表于 2025-3-25 16:46:57
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我不死扛
发表于 2025-3-25 21:16:04
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压迫
发表于 2025-3-26 00:24:06
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毗邻
发表于 2025-3-26 05:30:53
A Multi-Gate Encoder for Joint Entity and Relation Extractionnt decoding to create interaction between these two tasks. However, ensuring the specificity of task-specific traits while the two tasks interact properly is a huge difficulty. We propose a multi-gate encoder that models bidirectional task interaction while keeping sufficient feature specificity bas
achlorhydria
发表于 2025-3-26 08:44:40
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Acumen
发表于 2025-3-26 14:31:00
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intrigue
发表于 2025-3-26 20:42:31
https://doi.org/10.1007/978-3-540-33273-2ficient to meet the needs of artificial intelligence for identifying and even understanding speech acts. To facilitate the automatic identification of the communicative intentions in human dialogs, scholars have tried some data-driven methods based on speech-act annotated corpora. However, few studi