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Sentence-level Emotion Classification with Label and Context Dependence 53

Sentence-level Emotion Classification with Label and Context...

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53rd Annual Meeting of the Association-for-Computational-Linguistics (ACS) / 7th international Joint conference on Natural language processing of the Asian-Federation-of-Natural-language-processing (IJCNLP)

作者： Li, Shoushan Huang, Lei Wang, Rong Zhou, Guodong Soochow Univ Nat Language Proc Lab Suzhou Peoples R China Collaborat Innovat Ctr Novel Software Technol & I Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781941643723

Predicting emotion categories, such as anger, joy, and anxiety, expressed by a sentence is challenging due to its inherent multi-label classification difficulty and data sparseness. In this paper, we address above two challenges by incorporating the label dependence among the emotion labels and the context dependence among the contextual instances into a factor graph model. Specifically, we recast sentence-level emotion classification as a factor graph inferring problem in which the label and context dependence are modeled as various factor functions. Empirical evaluation demonstrates the great potential and effectiveness of our proposed approach to sentence-level emotion classification.

关键词： Classification (of information)

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Topic modeling based sentiment analysis on social media for stock market prediction 53

Topic modeling based sentiment analysis on social media for ...

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53rd Annual Meeting of the Association for Computational Linguistics and the 7th international Joint conference on Natural language processing of the Asian Federation of Natural language processing, ACL-IJCNLP 2015

作者： Nguyen, thien Hai Shirai, Kiyoaki School of Information Science Japan Advanced Institute of Science and Technology 1-1 Asahidai Nomi Ishikawa923-1292 Japan

ISBN: (纸本)9781941643723

the goal of this research is to build a model to predict stock price movement using sentiments on social media. A new feature which captures topics and their sentiments simultaneously is introduced in the prediction model. In addition, a new topic model TSLDA is proposed to obtain this feature. Our method outperformed a model using only historical prices by about 6.07% in accuracy. Furthermore, when comparing to other sentiment analysis methods, the accuracy of our method was also better than LDA and JST based methods by 6.43% and 6.07%. the results show that incorporation of the sentiment information from social media can help to improve the stock prediction. © 2015 Association for Computational Linguistics.

关键词： Sentiment analysis

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A Lexicalized Tree Kernel for Open information Extraction 53

A Lexicalized Tree Kernel for Open Information Extraction

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作者： Xu, Ying Ringlstetter, Christoph Kim, Mi-Young Goebel, Randy Kondrak, Grzegorz Miyao, Yusuke Univ Alberta Dept Comp Sci Edmonton AB Canada Gini Munich Germany JST PRESTO Natl Inst Informat Kawaguchi Saitama Japan

ISBN: (纸本)9781941643730

In contrast with traditional relation extraction, which only considers a fixed set of relations, Open information Extraction (Open IE) aims at extracting all types of relations from text. Because of data sparseness, Open IE systems typically ignore lexical information, and instead employ parse trees and Part-of-Speech (POS) tags. However, the same syntactic structure may correspond to different relations. In this paper, we propose to use a lexicalized tree kernel based on the word embeddings created by a neural network model. We show that the lexicalized tree kernel model surpasses the unlexicalized model. Experiments on three datasets indicate that our Open IE system performs better on the task of relation extraction than the state-of-the-art Open IE systems of Xu et al. (2013) and Mesquita et al. (2013).

关键词： Syntactics

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Generating Rules with Common Knowledge: A Framework for Sentence information Extraction 7

Generating Rules with Common Knowledge: A Framework for Sent...

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7th international conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Rao, Dongning Zhu, Yongliang Jiang, Zhihua Zhao, Gansen Guangdong Univ Technol Sch Comp Guangzhou Guangdong Peoples R China Jinan Univ Sch Informat Sci & Technol Guangzhou 510632 Guangdong Peoples R China South China Normal Univ Sch Comp Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781479986460

there are many nature language processing applications. A typical example is information extraction whose target is a sentence. Various rules are often used in this kind of applications. However, automated processing is not accurate enough in some cases. this is because it is easy to construct syntax rules of a sentence but difficult to semantic rules. On the other hand, the knowledge representation community paid much attention to common knowledge. It is insightful to use rules based on this sense on common things in nature language processing. therefore, we propose an approach to combine the common knowledge and the nature language processing rules. It first applied the name entity reorganization technology and then generated rules based on a specific common knowledge database. As a result, this approach can be a framework for many (but not all) nature language processing applications. In our experimental example, this approach performed well.

关键词： nature language processing common knowledge rule reasoning

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Underspecified relations with a formal language of situation theory 7

Underspecified relations with a formal language of situation...

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7th international conference on Agents and Artificial Intelligence, ICAART 2015

作者： Loukanova, Roussanka Department of Mathematics Stockholm University Stockholm Sweden

ISBN: (纸本)9789897580734

the paper is an introduction to a formal language of Situation theory. the language provides algorithmic processing of situated information. We introduce specialized, restricted variables that are recursively constrained to satisfy type-theoretic conditions by restrictions and algorithmic assignments. the restricted variables designate recursively connected networks of memory locations for 'saving' parametric information that depends on situations and restrictions over objects. the formal definitions introduce richly informative typed language for classification and representation of underspecified, parametric, and partial information that is dependent on situations. Copyright © 2015 SCITEPRESS - Science and technology Publications All rights reserved.

关键词： Classification (of information)

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Overview of the NLP-TEA 2015 Shared Task for Chinese Grammatical Error Diagnosis 2

Overview of the NLP-TEA 2015 Shared Task for Chinese Grammat...

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2nd Workshop on Natural language processing Techniques for Educational Applications, NLP-TEA 2015

作者： Lee, Lung-Hao Yu, Liang-Chih Chang, Li-Ping Information Technology Center National Taiwan Normal University Taiwan Department of Information Management Yuan Ze University Taiwan Innovative Center for Big Data and Digital Convergence Yuan Ze University Taiwan Mandarin Training Center National Taiwan Normal University Taiwan

ISBN: (纸本)9781941643709

this paper introduces the NLP-TEA 2015 shared task for Chinese grammatical error diagnosis. We describe the task, data preparation, performance metrics, and evaluation results. the hope is that such an evaluation campaign may produce more advanced Chinese grammatical error diagnosis techniques. All data sets with gold standards and evaluation tools are publicly available for research purposes. © 2015 Proceedings of the 2nd Workshop on Natural language processing Techniques for Educational Applications, NLP-TEA 2015 - in conjunction with the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th international Joint conference on Natural language processing, ACL-IJCNLP 2015. All rights reserved.

关键词： Natural language processing systems

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ACBiMA: advanced chinese bi-characterword morphological analyzer 8

ACBiMA: Advanced chinese bi-characterword morphological anal...

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8th SIGHAN Workshop on Chinese language processing, SIGHAN 2015

作者： Huang, Ting-Hao Kenneth Chen, Yun-Nung Kong, Lingpeng Language Technologies Institute Carnegie Mellon University 5000 Forbes Ave PittsburghPA15213 United States

ISBN: (纸本)9781941643570

While morphological information has been demonstrated to be useful for various Chinese NLP tasks, there is still a lack of complete theories, category schemes, and toolkits for Chinese morphology. this paper focuses on the morphological structures of Chinese bi-character words, where a corpus were collected based on a welldefined morphological type scheme covering both Chinese derived words and compound words. With the corpus, a morphological analyzer is developed to classify Chinese bi-character words into the defined categories, which outperforms strong baselines and achieves about 66% macro F-measure for compound words, and effectively covers derived words. © 2015 Proceedings of the 8th SIGHAN Workshop on Chinese language processing, SIGHAN 2015 - co-located with 53rd Annual Meeting of the Association for Computational Linguistics and the 7th international Joint conference on Natural language processing, ACL IJCNLP 2015. All rights reserved.

关键词： Natural language processing systems

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New Trends in Intelligent information and Database Systems 2015

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丛书名： Studies in Computational Intelligence

2015年

作者： Dariusz Barbucha Ngoc thanh Nguyen John Batubara

ISBN: (数字)9783319162119

ISBN: (纸本)9783319162102

Intelligent information and database systems are two closely related subfields of modern computer science which have been known for over thirty years. they focus on the integration of artificial intelligence and classic database technologies to create the class of next generation information systems. the book focuses on new trends in intelligent information and database systems and discusses topics addressed to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, and implementation, their validation, maintenance and evolution. they cover a broad spectrum of research topics discussed both from the practical and theoretical points of view such as: intelligent information retrieval, natural language processing, semantic web, social networks, machine learning, knowledge discovery, data mining, uncertainty management and reasoning under uncertainty, intelligent optimization techniques in information systems, security in databases systems, and multimedia data analysis. Intelligent information systems and their applications in business, medicine and industry, database systems applications, and intelligent internet systems are also presented and discussed in the *** book consists of 38 chapters based on original works presented during the 7th Asian conference on Intelligent information and Database Systems (ACIIDS 2015) held on 2325 March 2015 in Bali, Indonesia. the book is divided into six parts related to advanced Machine Learning and Data Mining, Intelligent Computational Methods in information Systems, Semantic web, Social Networks and Recommendation Systems, Cloud Computing and Intelligent Internet Systems, Knowledge and language processing, and Intelligent information and Database Systems: Applications.

关键词： Artificial intelligence. Databases

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the "news web Easy" news service as a resource for teaching and learning Japanese: An assessment of the comprehension difficulty of Japanese sentence-end expressions 2

The "news Web Easy" news service as a resource for teaching ...

引用

2nd Workshop on Natural language processing Techniques for Educational Applications, NLP-TEA 2015

作者： Tanaka, Hideki Kumano, Tadashi Goto, Isao Science and Technology Research Labs. of NHK 1-10-11 Kinuta Setagaya Tokyo Japan

ISBN: (纸本)9781941643709

Japan s public broadcasting corporation, NHK, launched "News web Easy" in April 2012 1. It provides users with five simplified news scripts (easy Japanese news) on a daily basis. this web service provides users with five daily simplified news scripts of "easy" Japanese news. Since its inception, this service has been favorably received both in Japan and overseas. Users particularly appreciate its value as a Japanese learning and teaching resource. In this paper, we discuss this service and its possible contribution to language education. We focus on difficulty levels of sentence-end expressions, compiled from the news, that create ambiguity and problems when rewriting news items. these are analyzed and compared within regular news and News web Easy, and their difficulty is assessed based on Japanese learners reading comprehension levels. Our results revealed that current rewriting of sentence-end expressions in News web Easy is appropriate. We further identified features of these expressions that contribute to difficulty in comprehension. © 2015 Proceedings of the 2nd Workshop on Natural language processing Techniques for Educational Applications, NLP-TEA 2015 - in conjunction with the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th international Joint conference on Natural language processing, ACL-IJCNLP 2015. All rights reserved.

关键词： web services

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Computer simulation of mental image processing in natural language understanding by human 7

Computer simulation of mental image processing in natural la...

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7th IEEE international conference on Awareness Science and technology, iCAST 2015

作者： Khummongkol, Rojanee Yokota, Masao Department of Intelligent Information System Engineering Graduate School Fukuoka Institute of Technology Fukuoka Japan

ISBN: (纸本)9781467376587

the terminology 'natural language' surely reminds most people of any ordinary human language that they use to communicate with each other, but as well it alludes to the most convenient way by which ordinary non-expert people can intuitively interact with artifacts such as robots. therefore, without any doubt, the technology of Natural language Understanding (NLU) plays a key role at such intuitive human-machine interaction. In this paper, focusing on spatiotemporal (or 4D) language, NLU by human as mental image processing is attempted to simulate so that robots can understand texts in the same way as people. the proposed methodology is quite distinguished from conventional ones and shows a potential good enough to be a very powerful means for realizing awareness in computer and its understanding. © 2015 IEEE.

关键词： Image processing

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