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检索条件"任意字段=7th International Conference on Advanced Language Processing and Web Information Technology"

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Overview of Topic-based Chinese message polarity classification in SIGHAN 2015 8

Overview of Topic-based Chinese message polarity classificat...

引用

8th SIGHAN Workshop on Chinese language processing, SIGHAN 2015

作者： Liao, Xiangwen Li, Binyang Xu, Liheng College of Mathematics and Computer Science Fuzhou University China School of Information Science and Technology University of International Relations China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781941643570

this paper presents the overview of Topic-based Chinese Message Polarity Classification in SIGHAN 2015 bake-off. Topic-based message polarity classification plays an important role in sentiment analysis, information extraction, event tracking, and other related research areas. this task is designed to evaluate the techniques for Chinese message polarity classification towards a given topic. the task organizers manually constructed 25 topics together with 24,374 corresponding messages which were annotated to construct the training and testing datasets. the evaluation results achieved by the participators provide good suggestion for the future research. © 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： Sentiment analysis

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An Efficient Positional Algorithm for Recognition of Ancient Stone Inscription Characters 7

An Efficient Positional Algorithm for Recognition of Ancient...

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7th international conference on advanced Computing (ICoAC)

作者： Bhuvaneswari, G. Bharathi, V. Subbiah Anna Univ Dept CSE Madras Tamil Nadu India Easwari Engn Coll Madras Tamil Nadu India

ISBN: (纸本)9781509019335

Recognition of inscribed characters on stone is an essential part of our work to reveal information's of our ancestors. the concept of Optical Character Recognition is not adopted as the rock surface becomes texture of an image posing challenges in recovering the text. In this paper, we propose a new feature called Positional Distance Metric which is independent to any language script to address the various issues occurred on stone inscribed images. then Image based and Zone based Normalized Positional Distance Metric (INPDM/ZNPDM) feature is computed and combined with structural and regional features to yield a better recognition rate. We repeated this procedure for all the training images and finally populated in to the list. Nearest Neighbor classifier is used for subsequent classification and recognition of characters. Experiments are performed on 350 characters and showed significant recognition rate.

关键词： Feature Extraction Character Recognition Classifiers thinning Image processing Indian Script

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When Textual information Becomes Spatial information Compatible with Satellite Images 7

When Textual Information Becomes Spatial Information Compati...

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7th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)

作者： Kergosien, Eric Alatrista-Salas, Hugo Gaio, Mauro Guttler, Fabio N. Roche, Mathieu Teisseire, Maguelonne Univ Lille GERiiCO Lille France Pontificia Univ Catolica Peru Lima Peru Univ Pau LIUPPA Pau France Univ Strasbourg ICube Strasbourg France TETIS UMR Montpellier France LIRMM Montpellier France

ISBN: (纸本)9789897581649

With the amount of textual data available on the web, new methodologies of knowledge extraction domain are provided. Some original methods allow the users to combine different types of data in order to extract relevant information. In this context, we present the cornerstone of manipulations on textual documents and their preparation for extracting compatible spatial information with those contained in satellite images. the term footprint is defined and its extraction is performed. In this paper, we describe the general process and some experiments conducted in the ANIMITEX project, which aims to match the information coming from texts with those of satellite images.

关键词： Natural language processing information Retrieval Spatial information Land-use Planning

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CT-SPA: Text sentiment polarity prediction model using semi-Automatically expanded sentiment lexicon 8

CT-SPA: Text sentiment polarity prediction model using semi-...

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8th SIGHAN Workshop on Chinese language processing, SIGHAN 2015

作者： Chang, Tao-Hsing Chen, Chun-Hsien Lin, Ming-Jhih Wang, Shao-Yu Department of Computer Science and Information Engineering National Kaohsiung University of Applied Sciences Taiwan

ISBN: (纸本)9781941643570

In this study, an automatic classification method based on the sentiment polarity of text is proposed. this method uses two sentiment dictionaries from different sources: the Chinese sentiment dictionary CSWN that integrates Chinese WordNet with SentiWordNet, and the sentiment dictionary obtained from a training corpus labeled with sentiment polarities. In this study, the sentiment polarity of text is analyzed using these two dictionaries, a mixed-rule approach, and a statistics-based prediction model. the proposed method is used to analyze a test corpus provided by the Topic-Based Chinese Message Polarity Classification task of SIGHAN-8, and the F1-measure value is tested at 0.62. © 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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Immunization Ontology for Enlightening People using Knowledge Representation 7

Immunization Ontology for Enlightening People using Knowledg...

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7th international conference on advanced Computing (ICoAC)

作者： Velmurugan, A. Ravi, T. Sathyabama Univ Dept CSE Madras Tamil Nadu India Madanapalle Inst Technol & Sci Dept CSE Angallu Andhra Pradesh India

ISBN: (纸本)9781509019335

Six million children below the age of five who perish from preventable causes every year. It all happens because of an insufficiency of information or misinformation about the benefits of immunization. In this paper, we concentrate on to construct a complete vaccine information ontology system using web Ontology language (OWL). In this paper, we provide the overall information regarding vaccination. this helps the people to get the information about the importance of immunization. this vaccine ontology was constructed through protege 4.3 and it consists of 28 vaccine information statements accumulated from the CDC website. Salient and pertinent information from the document was recorded and knowledge triples were extracted. By using the collection of knowledge triples, the meta-level conceptualization of the vaccine information ontology was developed. this immunizationontology covers classes, data properties, object properties, individuals and restrictions on a relationship between classes and other description. Finally, HermiT reasoner was used to examine discrepancies.

关键词： Vaccine Ontology Protege Immunization Vaccine information Statement

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Adding semantics to data-driven paraphrasing 53

Adding semantics to data-driven paraphrasing

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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： Pavlick, Ellie Bos, Johan Nissim, Malvina Beller, Charley Durme, Benjamin Van Callison-Burch, Chris Computer and Information Science Department University of Pennsylvania United States Center for Language and Cognition Groningen University of Groningen Netherlands Human Language Technology Center of Excellence Johns Hopkins University United States IBM Watson Group United States

ISBN: (纸本)9781941643723

We add an interpretable semantics to the paraphrase database (PPDB). To date, the relationship between phrase pairs in the database has been weakly defined as approximately equivalent. We show that these pairs represent a variety of relations, including directed entailment (little girl/girl) and exclusion (nobody/ someone). We automatically assign semantic entailment relations to entries in PPDB using features derived from past work on discovering inference rules from text and semantic taxonomy induction. We demonstrate that our model assigns these relations with high accuracy. In a downstream RTE task, our labels rival relations from WordNet and improve the coverage of a proof-based RTE system by 17%. © 2015 Association for Computational Linguistics.

关键词： Semantics

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Introduction to a proofreading tool for chinese spelling check task of SIGHAN-8 8

Introduction to a proofreading tool for chinese spelling che...

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8th SIGHAN Workshop on Chinese language processing, SIGHAN 2015

作者： Chang, Tao-Hsing Yang, Cheng-Han Chen, Hsueh-Chih Department of Computer Science and Information Engineering National Kaohsiung University of Applied Sciences Taiwan Department of Educational Psychology and Counseling National Taiwan Normal University Taiwan

ISBN: (纸本)9781941643570

the detection and correction of erroneous Chinese characters is an important problem in many applications. this paper proposed an automatic method for correcting erroneous Chinese characters. the method is divided into two parts, which separately handle two types of erroneous character: the occurrence of an erroneous character in a word length of one, and the occurrence in a word length of two or more. the first primarily makes use of a rulesbased method, while the second integrates parameters of similarity and syntax rationality using a linear regression model to predict erroneous characters. Experimental results shown that the F1 and FPR of the proposed method are 0.34 and 0.18 respectively. © 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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Lexical Characteristics Analysis of Chinese Clinical Documents 7

Lexical Characteristics Analysis of Chinese Clinical Documen...

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7th international conference on information technology in Medicine and Education (ITME)

作者： Ju, Meizhi Duan, Huilong Li, Haomin Zhejiang Univ Coll Biomed Engn & Instrument Sci Hangzhou Zhejiang Peoples R China Zhejiang Univ Childrens Hosp Inst Translat Med Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781467383028

Understanding lexical characteristics of clinical documents is the foundation of sublanguage based Medical language processing (MLP) approach. However, there are limited studies focused on the lexical characters of Chinese clinical documents. In this study, a lexical characteristics analysis on both syntactic and semantic levels was conducted in a clinical corpus which contains 3,500 clinical documents generated during daily practices. the analysis was based on the automatic tagging results of a lexicon-based part-of-speech (POS) and semantic tagging method. the medical lexicon contains 237,291 entries annotated with both semantic and syntactic classes. the normalized frequency of different terms, syntactic and semantic classes was calculated and visualized. Major contribution of this paper is providing a wide-coverage Chinese medical semantic lexicon and presenting the lexical characteristics of Chinese clinical documents. Both of these will lay a good foundation for sublanguage based MLP studies in China.

关键词： medical language processing lexical analysis sublanguage grammar

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Knowledge-Based Approach to Question Answering System Selection 7th

Knowledge-Based Approach to Question Answering System Select...

引用

7th international conference on Computational Collective Intelligence (ICCCI)

作者： Konys, Agnieszka West Pomeranian Univ Technol Fac Comp Sci & Informat Technol Szczecin Poland

ISBN: (纸本)9783319240695;9783319240688

A growth of data published on the web is still observed. Keyword-based search, used by most search engines, is a common way of information retrieval on the web. Subsequently, keyword-based search may provide a huge amount of retrieved valueless information. this problem can be solved by Question Answering System (QAS, QA system). One of the challenging tasks for available QA systems is to understand the natural language questions correctly and deduce the precise meaning to retrieve accurate responses. A significant role of QA and an increasing number of them may cause a problem with selection the most suitable QA system. the general aim of this paper is to provide knowledge-based approach to QA system selection. It should ensure knowledge systematization and help users to find a proper solution that meets their needs.

关键词： Question answering system Ontology information retrieval Natural language processing

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Chinese named entity recognition with graph-based semi-supervised learning model 8

Chinese named entity recognition with graph-based semi-super...

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8th SIGHAN Workshop on Chinese language processing, SIGHAN 2015

作者： Han, Aaron Li-Feng Zeng, Xiaodong Wong, Derek F. Chao, Lidia S. Institute for Logic Language and Computation University of Amsterdam Science Park 107 Amsterdam1098 Netherlands NLP2CT Laboratory Department of Computer and Information Science University of Macau Macau China

ISBN: (纸本)9781941643570

Named entity recognition (NER) plays an important role in the NLP literature. the traditional methods tend to employ large annotated corpus to achieve a high performance. Different with many semi-supervised learning models for NER task, in this paper, we employ the graph-based semi-supervised learning (GBSSL) method to utilize the freely available unlabeled data. the experiment shows that the unlabeled corpus can enhance the state-of-theart conditional random field (CRF) learning model and has potential to improve the tagging accuracy even though the margin is a little weak and not satisfying in current experiments. © 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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