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Zongfeng Qu, Zhitong Yang, Bo Wang and Qinghua Hu
This article proposes a reasoning-based dialog agent to facilitate dialog goal accomplishment through natural language interaction. The model can be applied in the conversation recommendation, topic guidance, psychotherapy and education domains.
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Zhenping Li, Zhen Cao, Pengfei Li, Yong Zhong and Shaobo Li
The task of multi-hop question generation (QG) seeks to generate questions that require a complex reasoning process that spans multiple sentences and answers. Beyond the conventional challenges of what to ask and how to ask, multi-hop QG necessitates sop...
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Xiaoping Huang, Yujian Zhou and Yajun Du
In recent years, there has been rapid development in machine learning for solving artificial intelligence tasks in various fields, including translation, speech, and image processing. These AI tasks are often interconnected rather than independent. One s...
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Huajie Wang and Yinglin Wang
The natural language model BERT uses a large-scale unsupervised corpus to accumulate rich linguistic knowledge during its pretraining stage, and then, the information is fine-tuned for specific downstream tasks, which greatly improves the understanding c...
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Muzamil Hussain Syed, Tran Quoc Bao Huy and Sun-Tae Chung
With the rapid growth of internet data, knowledge graphs (KGs) are considered as efficient form of knowledge representation that captures the semantics of web objects. In recent years, reasoning over KG for various artificial intelligence tasks have rece...
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Hans Götzsche
The paper below takes up the question of whether it is possible to transfer the notion of ?semantic knowledge??as a human process of making language generate and confer meanings?to machines, which have as one of their properties the capability of handlin...
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Wenfeng Zheng, Xiangjun Liu and Lirong Yin
With the development of artificial intelligence, more and more people hope that computers can understand human language through natural language technology, learn to think like human beings, and finally replace human beings to complete the highly difficu...
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Guowei Cui, Wei Shuai and Xiaoping Chen
This paper presents a planning system based on semantic reasoning for a general-purpose service robot, which is aimed at behaving more intelligently in domains that contain incomplete information, under-specified goals, and dynamic changes. First, Two ki...
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Luca Anselma and Alessandro Mazzei
This paper describes the Multimedia Application for Diet Management (MADiMan), a system that supports users in managing their diets while admitting diet transgressions. MADiMan consists of a numerical reasoner that takes into account users? dietary const...
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Sebastião Pais and Gaël Dias
In this work, we present a new unsupervised and language-independent methodology to detect the relations of textual generality. For this, we introduce a particular case of Textual Entailment (TE), namely Textual Entailment by Generality (TEG). TE aims to...
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