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Titlebook: Natural Language Processing and Chinese Computing; 9th CCF Internationa Xiaodan Zhu,Min Zhang,Ruifang He Conference proceedings 2020 Spring

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11#
發(fā)表于 2025-3-23 11:26:42 | 只看該作者
Learning to Answer Word-Meaning-Explanation Questions for Chinese Gaokao Reading Comprehensionsupplement to Chinese Gaokao application. We also build the Gaokao-style test set to evaluate our model. The experimental results show that our model can perform better than the baseline models. The code and the relevant dataset will be released on Github.
12#
發(fā)表于 2025-3-23 16:24:11 | 只看該作者
Enhancing Multi-turn Dialogue Modeling with Intent Information for E-Commerce Customer Serviceh intent explicitly. Then, based on E-IntentConv, we propose to integrate intent information for both retrieval-based model and generation-based model to verify its effectiveness for multi-turn dialogue modeling. Experimental results show that extra intent information is useful for improving both response selection and generation tasks.
13#
發(fā)表于 2025-3-23 19:19:59 | 只看該作者
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發(fā)表于 2025-3-24 00:06:55 | 只看該作者
0302-9743 ng and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020..The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Kno
15#
發(fā)表于 2025-3-24 03:26:05 | 只看該作者
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發(fā)表于 2025-3-24 09:32:27 | 只看該作者
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發(fā)表于 2025-3-24 10:58:22 | 只看該作者
Natural Language Processing and Chinese Computing978-3-030-60450-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
18#
發(fā)表于 2025-3-24 15:51:56 | 只看該作者
19#
發(fā)表于 2025-3-24 20:02:04 | 只看該作者
https://doi.org/10.1007/978-3-030-60450-9artificial intelligence; classification; computational linguistics; computer vision; data mining; databas
20#
發(fā)表于 2025-3-24 23:10:58 | 只看該作者
Houquan Zhou,Yu Zhang,Zhenghua Li,Min Zhangngs on the basis of a comparison with a modern field analogue, which enables a detailed analysis of the reservoir rock’s distribution and its properties. The study is rounded off with an analysis of the influen978-3-662-51205-0978-3-642-36047-3Series ISSN 2190-5053 Series E-ISSN 2190-5061
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