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9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020

作者： Li, Yuncong Yin, Cunxiang Zhong, Sheng-hua Baidu Inc. Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9783030604493

Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences. Since a sentence usually discusses one or more aspect categories and expresses different sentiments toward them, various attention-based methods have been developed to allocate the appropriate sentiment words for the given aspect category and obtain promising results. However, most of these methods directly use the given aspect category to find the aspect category-related sentiment words, which may cause mismatching between the sentiment words and the aspect categories when an unrelated sentiment word is semantically meaningful for the given aspect category. To mitigate this problem, we propose a Sentence Constituent-Aware Network (SCAN) for aspect-category sentiment analysis. SCAN contains two graph attention modules and an interactive loss function. The graph attention modules generate representations of the nodes in sentence constituency parse trees for the aspect category detection (ACD) task and the ACSA task, respectively. ACD aims to detect aspect categories discussed in sentences and is a auxiliary task. For a given aspect category, the interactive loss function helps the ACD task to find the nodes which can predict the aspect category but cant predict other aspect categories. The sentiment words in the nodes then are used to predict the sentiment polarity of the aspect category by the ACSA task. The experimental results on five public datasets demonstrate the effectiveness of SCAN (Data and code can be found at https://***/l294265421/SCAN). © 2020, Springer Nature Switzerland AG.

关键词： Sentiment analysis

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Asymmetric game design and player location: An empirical study on mobile play experiences

Asymmetric game design and player location: An empirical stu...

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18th International Conference on computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational and Serious Games, CGAMES 2013

作者： Feng, Yu Preston, Jon A. Skelton, Joshua Department of Computer Science and Software Engineering Southern Polytechnic State University Marietta GA 30060 United States

ISBN: (纸本)9781479908189

The emergence of new hardware and software tools for game design and play provides an important opportunity to study how players interact and what new modes of play experiences achieve the highest overall player experience. This study examines an asymmetric game design - wherein players choose different roles in a one-against-many scenario. We empirically validate asymmetric game design through a formal usability study that measures how location (co-location vs. distributed location) and role selection influence overall player satisfaction. Results demonstrate that players enjoy asymmetric games and appreciate the ability to select their desired role without being constrained by other players' selection. Additionally, this study finds that real-world placement/location significantly influences play style. This study contributes to the field by defining the viability of this emerging game design pattern and points to novel opportunities for future research. © 2013 IEEE.

关键词： Game design

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Recover chromatic information of images spoiled by near infrared radiation

Recover chromatic information of images spoiled by near infr...

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2007 IEEE International Symposium on Consumer Electronics, ISCE

作者： Jinlong, Lin Chao, Zhang School of Software and Microelectronics Peking University China School of Electronics Engineering and Computer Science Peking University China

ISBN: (纸本)1424411092

CMOS imaging devices are widely used in digital image and video products. However, the strong responses to near infrared radiation of device's R, G and B channels cause the chromatic difference between the captured images and their original scenes. In this paper, we present a new method to solve the problem. After finding the reference pixels with the least value of G or B, we estimated the global ratio of near infrared radiation response to red radiation response Then, the additive response to near infrared radiation was subtracted from the image's raw data of three channels, and the original scene's chromatic information was recovered for all pixels. The experimental result shows that the proposed algorithms can eliminate the effects of infrared radiation and recover chromatic saturation of original scenes without optical high pass filter.

关键词： Infrared radiation

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Better Queries for Aspect-Category Sentiment Classification 19

Better Queries for Aspect-Category Sentiment Classification

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19th China National Conference on Computational Linguistics, CCL 2020

作者： Li, Yuncong Yin, Cunxiang Zhong, Sheng-hua Zhong, Huiqiang Luo, Jinchang Xu, Siqi Wu, Xiaohui Baidu Inc. Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9783030630300

Aspect-category sentiment classification (ACSC) aims to identify the sentiment polarities towards the aspect categories mentioned in a sentence. Because a sentence often mentions more than one aspect category and expresses different sentiment polarities to them, finding aspect category-related information from the sentence is the key challenge to accurately recognize the sentiment polarity. Most previous models take both sentence and aspect category as input and query aspect category-related information based on the aspect category. However, these models represent the aspect category as a context-independent vector called aspect embedding, which may not be effective enough as a query. In this paper, we propose two contextualized aspect category representations, Contextualized Aspect Vector (CAV) and Contextualized Aspect Matrix (CAM). Specifically, we use the coarse aspect category-related information found by the aspect category detection task to generate CAV or CAM. Then the CAV or CAM as queries are used to search for fine-grained aspect category-related information like aspect embedding by aspect-category sentiment classification models. In experiments, we integrate the proposed CAV and CAM into several representative aspect embedding-based aspect-category sentiment classification models. Experimental results on the SemEval-2014 Restaurant Review dataset and the Multi-Aspect Multi-Sentiment dataset demonstrate the effectiveness of CAV and CAM. © 2020, Springer Nature Switzerland AG.

关键词： Embeddings

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MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation 28th

MG-CR: Factor Memory Network and Graph Neural Network Based...

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28th International Conference on Database Systems for Advanced Applications, DASFAA 2023

作者： Zhang, Yun Yu, Minghe Sun, Jintong Zhang, Tiancheng Yu, Ge School of Computer Science and Engineering Northeastern University Shenyang China Software College Northeastern University Shenyang China

ISBN: (纸本)9783031306716

Course recommendations in universities select the most suitable courses for students according to their interests and academic requirements. However, existing works often focus on modeling course selection history, without paying sufficient attention to rich features contained in students’ personal information and courses’ teaching attributes, and various relationships between them. In order to realize the personalization and dynamics of course recommendation, we consider students and courses as two types of nodes to construct a heterogeneous information network (HIN), and propose a factor Memory network and Graph neural network based personalized Course Recommendation (MG-CR) on top of HIN. MG-CR captures multiple features of students and courses simultaneously in the input module, thereby maximizing the retention of personalized information. The feature transfer module optimizes course features by considering various types of relationships between courses in the HIN, and together with the input module, it ensures high recommendation accuracy in the cold-start scenario. The updating module explicitly stores the student’s interest level for each factor in the state matrix, which is then used to dynamically recommend courses for students in the predicting module. Experimental results show that MG-CR provides accurate, dynamic and personalized recommendations, and has superior performance in the cold-start scenario. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Students

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Blog content based recommendation framework using wordnet and multiple ontologies

Blog content based recommendation framework using wordnet an...

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International Conference on computer Information Systems and Industrial Management Applications

作者： Ray, Santosh Kumar Singh, Shailendra Department of Computer Science and Engineering BIT Mesra Muscat Oman Samsung India Software Center Noida India

ISBN: (纸本)9781424478170

Social networking portals like Twitter, Facebook, LinkedIn etc. are getting popular day by day among users' community and many more such portals are getting users attentions to cater their specific needs. Users write blogs on these social networking websites on a variety of topics as per their and other user's interests. By means of social networking blogs, a large amount of interesting information is scattered on the Web which could be structured in a meaningful way for better services. The objective of this paper is to focus on categorization of blog content into ten demanding themes like Technology, Entertainment, News, Business, Health, Sports, Tourism, Widgets, Vehicles, and Products for effective retrieval of information from categorized blog content. Further, a user can also search by feeding specific query to retrieve information from blog. In this paper, we are proposing a WordNet and multiple Ontologies based blog content theme expansion approach and a concept combination based ranking algorithm for blog content based recommendation framework that considers original themes of blog content as an input and recommends conceptually related expanded themes of blog content. The distinctive point of this research is to use concept combination approach based on rough sets to categorize retrieved results for demanding themes as well as for user specific preferences. This kind of blog content categorization approach would be very effective to retrieve meaningful and conceptually related blog information written by a large number of users using different vocabularies. We have experimented with the contents of top blogs related to each theme and got very good results. ©2010 IEEE.

关键词： Blogs

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DPCNN-based Models for Text Classification 10

DPCNN-based Models for Text Classification

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10th IEEE International Conference on Cyber Security and Cloud Computing and 9th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Zhang, MeiJiao Pang, Jiacheng Cai, Jiahong Huo, Yingzi Yang, Ce Xiong, Huixuan QuanZhou University College of Information Engineering Software QuanZhou362000 China Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan411201 China

ISBN: (纸本)9798350312461

In recent years, with the wide application of CNN in the field of deep learning, the related model of CNN, the Deep Pyramid Convolutional Neural Networks for Text Categorization (DPCNN) model, has emerged, and by the idea of deepening the depth of the network to obtain the best accuracy, DPCNN has made breakthroughs in related fields, especially in the field of text categorization, and its concrete applications in solving practical problems have achieved good results. This paper first introduces the text classification system, then introduces the mainstream model CNN for text classification, after that this paper focuses on the analysis of the DPCNN model, introduces its background and its principle analysis, and introduces the application of DPCNN in specific examples, and finally summarizes and outlooks on DPCNN, emphasizes its application advantages and builds suitable application scenarios. © 2023 IEEE.

关键词： Convolutional neural networks

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Feature Relationships Learning Incorporated Age Estimation Assisted by Cumulative Attribute Encoding

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computers, Materials & Continua 2018年第9期56卷 467-482页

作者： Qing Tian Meng Cao Tinghuai Ma School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China School of Electrical and Electronic Engineering University of ManchesterManchesterM139PLUK

The research of human facial age estimation(AE)has attracted increasing attention for its wide *** to date,a number of models have been constructed or employed to perform *** the goal of AE can be achieved by either classification or regression,the latter based methods generally yield more promising results because the continuity and gradualness of human aging can naturally be preserved in age ***,the neighbor-similarity and ordinality of age labels are not taken into account *** overcome this issue,the cumulative attribute(CA)coding was *** such age label relationships can be parameterized via CA coding,the potential relationships behind age features are not incorporated to estimate *** this end,in this paper we propose to perform AE by encoding the potential age feature relationships with CA coding via an implicit modeling *** that,we further extend our model to gender-aware AE by taking into account gender variance in aging ***,we experimentally validate the superiority of the proposed methodology.

关键词： Age estimation cumulative attribute gender-aware age estimation correlation relationship learning

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GSR: A Resource Model and Semantics-based API Recommendation Algorithm 2020

GSR: A Resource Model and Semantics-based API Recommendation...

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4th International Conference on Innovation in Artificial Intelligence, ICIAI 2020

作者： Wang, Jiawei Cui, Guorong Zhu, Xiaoke Liu, Huijian Liu, Junsong Jia, Xuebin National Piolet School of Software Yunnan University China School of Computer Science and Engineering Beihang University China

ISBN: (纸本)9781450376587

With the rapid development of Web services, more and more Web services are published on the Internet. A Mashup application that aggregates multiple Web APIs is also becoming more popular. But it also brings a problem that is how to find a suitable API among a wide variety of APIs has become a challenge. To this end, this paper proposes a web service recommendation algorithm that combines graph databases and semantics. In this algorithm, we propose to use graph database to build a two-layer structure resource model. First, we use LDA for topic classification and classify Mashup and API of the same classification into the same category respectively. This helps reduce the number of searches for Mashup and API. When a user enters a requirement document, Word2vec and WMD algorithms are used to find similar Web API description text. Finally, we use similarity and API history invokes to propose a ranking algorithm to generate a recommendation list. Through real-world data, this experiment has a better-recommended performance. © 2020 ACM.

关键词： Web services

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Three dimensional stratum modeling and a fast algorithm for arbitrary cutting based on half-edge structure

Three dimensional stratum modeling and a fast algorithm for ...

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2009 International Conference on Computational Intelligence and software engineering, CiSE 2009

作者： Xi, Liu Dong, Lanfang Lu, Detang Hefei China Anhui Province Key Lab of Software in Computing and Communication School of Computer Science and Technology USTC Hefei China Institute of Engineering and Science Software USTC Hefei China

ISBN: (纸本)9781424445073

The three dimensional stratum modeling provides important basis of analysis and policy-making in areas such as Geophysics, Petroleum, Minerals, Urban construction and so on. In this paper, we firstly propose a general flow of three dimensional stratum modeling, then research stratum partition algorithm and reconstruct the surface of three dimensional stratum model (3DSM), finally program the module of the simulation and visualization of 3DSM, and propose a fast algorithm for arbitrary cutting based on half-edge structure. The result shows that the algorithm performs real-time, and the reconstructed model of it is perfect. The algorithm has general applicability in entity cutting, it can be used in 3DSM, medical treatment, city planning and other similar areas. ©2009 IEEE.

关键词： Three dimensional computer graphics

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