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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015, Guangzhou, China, November 13-14, 2015, Proceedings PDF

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Preview Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015, Guangzhou, China, November 13-14, 2015, Proceedings

Maosong Sun · Zhiyuan Liu Min Zhang · Yang Liu (Eds.) Chinese Computational Linguistics and Natural Language Processing 7 2 4 Based on Naturally Annotated 9 I A Big Data N L 14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015 Guangzhou, China, November 13–14, 2015, Proceedings 123 fi Lecture Notes in Arti cial Intelligence 9427 Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany More information about this series at http://www.springer.com/series/1244 Maosong Sun Zhiyuan Liu (cid:129) Min Zhang Yang Liu (Eds.) (cid:129) Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data 14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015 – Guangzhou, China, November 13 14, 2015 Proceedings 123 Editors MaosongSun Min Zhang TsinghuaUniversity SoochowUniversity Beijing Suzhou,Jiangsu China China Zhiyuan Liu Yang Liu TsinghuaUniversity TsinghuaUniversity Beijing Beijing China China ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Artificial Intelligence ISBN 978-3-319-25815-7 ISBN978-3-319-25816-4 (eBook) DOI 10.1007/978-3-319-25816-4 LibraryofCongressControlNumber:2015952054 LNCSSublibrary:SL7–ArtificialIntelligence SpringerChamHeidelbergNewYorkDordrechtLondon ©SpringerInternationalPublishingSwitzerland2015 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade. Printedonacid-freepaper SpringerInternationalPublishingAGSwitzerlandispartofSpringerScience+BusinessMedia (www.springer.com) Preface Welcometotheproceedingsofthe14thChinaNationalConferenceonComputational Linguistics (14th CCL) and the Third International Symposium on Natural Language ProcessingBasedonNaturallyAnnotatedBigData(3rdNLP-NABD).Theconference was hosted by Guangdong University of Foreign Studies. CCL is an annual conference (bi-annual before 2013) that started in 1991. It is the flagshipconferenceoftheChineseInformationProcessingSociety(CIPS),whichisthe largest NLP scholar and expert community in China. CCL is a premier nation-wide forum for disseminating new scholarly and technological work in computational lin- guistics,withamajoremphasisoncomputerprocessingofthelanguagesinChinasuch as Mandarin, Tibetan, Mongolian, and Uyghur. Affiliated with the 14th CCL, the Third International Symposium on Natural Lan- guage Processing Based on Naturally Annotated Big Data (NLP-NABD) covered all the NLP topics, with particular focus on methodologies and techniques relating to naturally annotated big data. In contrast to manually annotated data such as treebanks that are constructed for specific NLP tasks, naturally annotated data come into exis- tence through users’ normal activities, such as writing, conversation, and interactions on the Web. Although the original purposes of these data typically were unrelated to NLP, they can nonetheless be purposefully exploited by computational linguists to acquirelinguisticknowledge.Forexample,punctuationmarksinChinesetextcanhelp word boundaries identification, social tags in social media can provide signals for keyword extraction, and categories listed in Wikipedia can benefit text classification. Thenaturalannotationcanbeexplicit, asintheaforementioned examples,orimplicit, as in Hearst patterns (e.g., “Beijing and other cities” implies “Beijing is a city”). This symposium focuses on numerous research challenges ranging from very-large-scale unsupervised/semi-supervised machine leaning (deep learning, for instance) of natu- rallyannotatedbigdatatointegrationofthelearnedresourcesandmodelswithexisting handcrafted “core” resources and “core” language computing models. NLP-NABD 2015wassupportedbytheNationalKeyBasicResearchProgramofChina(i.e.,“973” Program) “Theory and Methods for Cyber-Physical-Human Space-Oriented Web Chinese Information Processing” under grant no. 2014CB340500. The Program Committee selected 115 papers (81 Chinese papers and 34 English papers) out of 283 submissions from China, Hong Kong (region), Singapore, and the USA for publication. The 34 English papers cover the following topics: – Lexical semantics and ontologies (4) – Semantics (4) – Sentiment analysis, opinion mining and text classification (2) – Machine translation (3) – Multilinguality in NLP (4) – Machine learning method for NLP (3) – Knowledge graph and information extraction (3) VI Preface – Discourse, coreference, and pragmatics (1) – Information retrieval and question answering (3) – Social computing (2) – NLP applications (5) The final program for the 14th CCL and the Third NLP-NABD was the result of a great deal of work by many dedicated colleagues. We want to thank, first of all, the authors who submitted their papers, and thus contributed to the creation of the high-quality program that allowed us to look forward to an exciting joint conference. We are deeply indebted to all the Program Committee members for providing high-qualityandinsightfulreviewsunderatightschedule.Weareextremelygratefulto the sponsors of the conference. Finally, we extend a special word of thanks to all the colleagues of the Organizing Committee and secretariat for their hard work in orga- nizingtheconference,andtoSpringerfortheirassistanceinpublishingtheproceedings in due time. WethanktheProgramandOrganizingCommitteesforhelpingmaketheconference successful and we hope the participants enjoy a memorable visit to Guangzhou. November 2015 CCL Program Committee Chairs: Maosong Sun Keh-Yih Su CCL Program Committee Co-Chairs: Jun Zhao Min Zhang Heng Ji NLP-NABD Program Committee Chairs: Maosong Sun Randy Goebel Ting Liu Organization General Chairs Bo Zhang Tsinghua University, China Ming Li University of Waterloo, Canada Program Committee 14th CCL Program Chair Maosong Sun Tsinghua University, China Keh-Yih Su Academia Sinica 14th CCL Program Co-chairs Jun Zhao Institute of Automation, CAS, China Min Zhang Soochow University, China Heng Ji Rensselaer Polytechnic Institute, USA 14th CCL Area Co-chairs Linguistics and Cognitive Science Weidong Zhan Peking University, China Hongyin Tao University of California, Los Angeles, USA Fundamental Theory and Methods of Computational Linguistics Wanxiang Che Harbin Institute of Technology, China Chunyu Kit City University of Hong Kong, SAR China Information Retrieval and Question Answering Xuanjing Huang Fudan University, China Bin Wang Institute of Information Engineering, CAS, China Text Classification and Summarization Tingting He Central China Normal University, China Sujian Li Peking University, China VIII Organization Knowledge Graph and Information Extraction Juanzi Li Tsinghua University, China Jing Jiang Singapore Management University, Singapore Machine Translation Qun Liu Dublin City University, Ireland; Institute of Computing Technology, CAS, China Hao Zhang Google, USA Machine Learning Method for NLP Jun Zhu Tsinghua University, China Ming Li Nanjing University, China Minority Language Information Processing Xiaobing Zhao Minzu University of China, China Jian-Yun Nie University of Montreal, Canada Language Resource and Evaluation Erhong Yang Beijing Language and Culture University, China Qin Lu The Hong Kong Polytechnic University, SAR China Social Computing and Sentiment Analysis Hongfei Lin Dalian University of Technology, China Yulan He Aston University, UK NLP Applications Xiaojie Wang Beijing University of Posts and Telecommunications, China Hui Zhang Facebook, USA 14th CCL Technical Committee Members Rangjia Cai Qinghai Normal University, China Dongfeng Cai Shenyang Aerospace University, China Baobao Chang Peking University, China Qunxiu Chen Tsinghua University, China Xiaohe Chen Nanjing Normal University, China Xueqi Cheng Institute of Computing Technology, CAS, China Key-Sun Choi KAIST, Korea Li Deng Microsoft Research, USA Alexander Gelbukh National Polytechnic Institute, Mexico Josef van Genabith Dublin City University, Ireland Randy Goebel University of Alberta, Canada Organization IX Tingting He Central China Normal University, China Isahara Hitoshi Toyohashi University of Technology, Japan Heyan Huang Beijing Polytechnic University, China Xuanjing Huang Fudan University, China Donghong Ji Wuhan University, China Turgen Ibrahim Xinjiang University, China Shiyong Kang Ludong University, China Sadao Kurohashi Kyoto University, Japan Kiong Lee ISO TC37, Korea Hang Li Huawei, Hong Kong, SAR China Ru Li Shanxi University, China Dekang Lin Google, USA Qun Liu Dublin City University, Ireland; Institute of Computing Technology, CAS, China Shaoming Liu Fuji Xerox, Japan Qin Lu Polytechnic University of Hong Kong, SAR China Wolfgang Menzel University of Hamburg, Germany Jian-Yun Nie University of Montreal, Canada Yanqiu Shao Beijing Language and Culture University, China Xiaodong Shi Xiamen University, China Rou Song Beijing Language and Culture University, China Jian Su Institute for Infocomm Research, Singapore Benjamin Ka Yin Tsou The Hong Kong Institute of Education, SAR China Haifeng Wang Baidu, China Fei Xia University of Washington, USA Feiyu Xu DFKI, Germany Nianwen Xue Brandeis University, USA Erhong Yang Beijing Language and Culture University, China Tianfang Yao Shanghai Jiaotong University, China Shiwen Yu Peking University, China Quan Zhang Institute of Acoustics, CAS, China Jun Zhao Institute of Automation, CAS, China Guodong Zhou Soochow University, China Ming Zhou Microsoft Research Asia, China Jingbo Zhu Northeast University, China Ping Xue Research & Technology, the Boeing Company, USA Third NLP-NABD Program Chairs Maosong Sun Tsinghua University, China Randy Goebel University of Alberta, USA Ting Liu Harbin Institute of Technology, China

Description:
This book constitutes the refereed proceedings of the 14th China National Conference on Computational Linguistics, CCL 2014, and of the Third International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2015, held in Guangzhou, China, in November 2015.The 34
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