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The objective of the study is to generate the product hierarchical categories in e-commerce, particularly for e-commerce giants such as Taobao or Jingdong. For e-commerce websites the amount of products is huge, and a hierarchical structure is necessary for consumers to browse them. We find that there are two problems in the current websites: firstly, the hierarchy is shallow; there are often too...
The optimal decision for an agent in a given game situation depends on the decisions of other agents at the same time. Rational agents will find a stable equilibrium before taking an action, according to the assumption of rationality. We suggest that the rational agents can use the negotiation mechanism to reach the equilibrium. In previous works, we proposed the communication actions of guarantee...
In this paper we report how we improve our Chinese grammar error detection system. We focus on the recognition of word selection error, which is the hardest error type defined in 2015 NLP-TEA shared task CGED. Four major error types was defined in CGED shared task, including redundant word error, missing word error, word selection error and word disorder error. Based on the conditional random fields...
Game theoretic decision making is a practical approach to multi-agent coordination. Rational agents may make decisions based on different principles of rationality assumptions that usually involve knowledge of how other agents might move. After formulating a game matrix of utility entries of possible combination of moves from both agents, agents can reason which combination is the equilibrium. Most...
In this study, we propose a tutoring agent that uses MSN Messenger, a popular synchronous internet media, as the communication platform. Students can invite the agent to a discussion session on MSN Messenger. The agent understands the students’ questions in natural language, and provides answers or hints during the group discussion. Unlike a traditional natural language tutoring agent that converses...
The Service of Facebook Fan Pages is one of the most popular social network platform for various organizations. Companies can interact with their own fans through the Fan Pages. The interactions include sending direct advertisement, gathering user meetings, and promoting electronic word of mouth (eWoM). For companies that use social network to gather customers' information, to identify the opinion...
On the online E-Commerce platform, customer reviews provides valuable opinions and relevant content, which will affect the perches behavior of other customers. Since the amount of online review grow fast, it is hard to read them all, therefore, a system that can find the reviews with better quality is necessary. In order to better understand the quality of reviews. In this paper, we proposed a system...
With the rapid advance in information technology, more and more information exchange platforms appear. People can freely exchange information on these platforms. However, not all information is reliable. To make correct decisions, it is necessary to detect and remove unreliable information. The main purpose of this study is to improve the reliability of hotel ranking by detecting and deleting outlier...
Social network websites such as Facebook, Tweeter, and Plurk have become a useful marketing toolkit. Many companies find that it can provide new opportunities on mining customers' opinions and get better understanding of the customers. The aim of the paper is to analyze the sentiment of users' opinions from corporation-run social networks, the Facebook Fan Pages. The goal is to find the topics and...
Textual Entailment (TE) is a critical issue in natural language processing (NLP); many NLP applications can be benefited from the recognition of textual entailment (RTE). In this paper we report our observation on how to improve the Chinese textual entailment system and the experiment results on the NTCIR-10 RITE-2 dataset. To complement the traditional machine learning approach, which treat every...
Biomorphic robots have become an interesting topic recently. These robots can achieve certain goals that wheel-based robots cannot. The biomorphic robots usually have more joints and more legs. However, the more motors on a robot the more risk that one of them might break down at an unexpected moment. Self-adjusting locomotion ability can be a help to make a partially dysfunctional biomorphic robot...
This paper describes a new method of constructing a saliency map that can be used in object finding for a robot vision system. A saliency map shows the weight of each pixel in an image. The weights represent the probability of the location of a given object. Traditionally, a saliency map is constructed based on the analysis of the image color features of the RGB color space. We redefine the saliency...
In this paper, we describe how we improve our system for Chinese Textual Entailment Recognition by a monolingual machine translation system. Previously, our approach is based on the standard supervised learning classification. We integrate the result of monolingual machine translation system with the other available computational linguistic resources of Chinese language processing to build the system...
Evolutionary robots have become an interesting topic recently. These robots can achieve certain goals via evolutionary algorithms without specifying all the detailed actions. The robot interacts with the environment and receives natural feedback from the environment regarding the fitness of its goal. In this paper, we study biomorphic robots. Our robots have three or four legs, and share the goal...
This paper introduces a new technique to select candidate sentences for alignment from bilingual comparable corpora. Tests were done utilizing Wikipedia as a source for bilingual data. Our test languages are English and Chinese. A high quality of sentence alignment is illustrated by a machine translation application.
The hand-held systems and the wireless Internet access are widely available in recent years. However, the mobile learning with web content is still inconvenient. For example, the information has not well organized and it is uneasy to surf on the small screen of handheld device. We propose a mobile system based on the content of Wikipedia. Wikipedia is a free content resource and has abundant contents...
Transliteration of new named entity is important for information retrieval that crosses two or multiple language. Rule-based machine transliteration is not satisfactory, since different information sources have different standards for the transliteration. To build a statistic machine transliteration module, researchers have to curate a transliteration corpus for any given two languages of interest...
Computer-assisted instruction systems have been broadly applied to help students solve math word problem. The majority of such systems, which are based on an instructor-initiating instruction strategy, provide pre-designed problems for the learners. When learners are asked to solve a word problem, the system will instruct the learners what to do. However, systems employing an instructor-initiating...
The integration of bibliographical information on scholarly publications available on the Internet is an important task in the academic community. Accurate reference metadata extraction from such publications is essential for the integration of metadata from heterogeneous reference sources. In this paper, we propose a hierarchical template-based reference metadata extraction method for scholarly publications...
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