铁砧 发表于 2025-3-23 10:50:56
Outlook,consider the following directions including using more unsupervised data, utilizing few labeled data, employing deeper neural architectures, improving model interpretability and fusing the advantages of other areas.放弃 发表于 2025-3-23 14:28:43
http://reply.papertrans.cn/83/8274/827395/827395_12.pngnauseate 发表于 2025-3-23 18:45:55
http://reply.papertrans.cn/83/8274/827395/827395_13.pnglactic 发表于 2025-3-24 01:16:26
Compositional Semantics,erefore, compositional semantics has remained a core task in NLP. In this chapter, we first introduce various models for binary semantic composition, including additive models and multiplicative models. After that, we present various typical models for N-ary semantic composition including recurrentENNUI 发表于 2025-3-24 02:43:45
Sentence Representation,use many important applications in related fields lie on understanding sentences, for example, summarization, machine translation, sentiment analysis, and dialogue system. Sentence representation aims to encode the semantic information into a real-valued representation vector, which will be utilized厨房里面 发表于 2025-3-24 10:36:05
http://reply.papertrans.cn/83/8274/827395/827395_16.pngIntersect 发表于 2025-3-24 11:15:06
http://reply.papertrans.cn/83/8274/827395/827395_17.pngGerontology 发表于 2025-3-24 16:07:08
http://reply.papertrans.cn/83/8274/827395/827395_18.png拖债 发表于 2025-3-24 19:21:52
Cross-Modal Representation,s including texts, audio, images, videos, etc. In this chapter, we first introduce typical cross-modal representation models. After that, we review several real-world applications related to cross-modal representation learning including image captioning, visual relation detection, and visual questio蚊子 发表于 2025-3-24 23:47:02
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