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Titlebook: Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding; 4th China Conference Xiaoyan Zhu,Bing Qin,Longhua Q

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31#
發(fā)表于 2025-3-26 21:38:31 | 只看該作者
AliMe KBQA: Question Answering over Structured Knowledge for E-Commerce Customer Service,research has been conducted on this topic, it is still challenging to apply KBQA technology in industry because business knowledge and real-world questions can be rather complicated. In this paper, we present AliMe-KBQA, a bold attempt to apply KBQA in the E-commerce customer service field. To handl
32#
發(fā)表于 2025-3-27 01:18:55 | 只看該作者
CN-StartEnd: A Chinese Event Base Recording Start and End for Everything,esented by start timestamps and end timestamps. For example, Obama’s birthday is the start time of his life and the departure time is the end of his president’s career. We need to refer to the start timestamps or end timestamps when dealing with temporal tasks such as temporal question answering. Th
33#
發(fā)表于 2025-3-27 05:26:29 | 只看該作者
Overview of CCKS 2018 Task 1: Named Entity Recognition in Chinese Electronic Medical Records,hua University and Yidu Cloud Beijing Technology Co., Ltd. provided an annotated dataset for this task, which is the only publicly available dataset in the field of . EMR. Using this dataset, 69 systems were developed for the task. The performance of the systems showed that the traditional CRF and B
34#
發(fā)表于 2025-3-27 10:36:41 | 只看該作者
35#
發(fā)表于 2025-3-27 16:54:45 | 只看該作者
Emerging Entity Discovery Using Web Sources,ions in text with entities in the KB, also called . (EL). Many methods have been proposed to tackle this problem. However, the KB can never be complete, such that . (EED) is essential for detecting emerging entities (EEs) that are mentioned in text but not yet contained in the KB. In this paper, we
36#
發(fā)表于 2025-3-27 17:49:03 | 只看該作者
Named Entity Recognition for Open Domain Data Based on Distant Supervision,ion. However, the complexity of semantic dependencies and the sparsity of the context information make it difficult for identifying correct entities from the corpus. In addition, the lack of annotated training data makes impossible the prediction of fine-grained entity types for detected entities. T
37#
發(fā)表于 2025-3-28 01:07:35 | 只看該作者
38#
發(fā)表于 2025-3-28 04:17:25 | 只看該作者
39#
發(fā)表于 2025-3-28 07:02:50 | 只看該作者
40#
發(fā)表于 2025-3-28 12:06:11 | 只看該作者
Chenhao Wang,Yubo Chen,Kang Liu,Jun ZhaoBritain, France and Germany has shaped the evolution of the EU—NATO conundrum. The present chapter starts with an assessment of the implications of 11 September upon the geopolitical context. It then proceeds to a detailed examination of the evolution of British, French and German grand strategy and
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