Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St. Petersburg, Russia, September 20–23, 2017, Revised Selected Papers PDF
Preview Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St. Petersburg, Russia, September 20–23, 2017, Revised Selected Papers
Andrey Filchenkov Lidia Pivovarova Jan Žižka (Eds.) Communications in Computer and Information Science 789 Artificial Intelligence and Natural Language 6th Conference, AINL 2017 St. Petersburg, Russia, September 20–23, 2017 Revised Selected Papers 123 Communications in Computer and Information Science 789 Commenced Publication in 2007 Founding and Former Series Editors: Alfredo Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, Dominik Ślęzak, and Xiaokang Yang Editorial Board Simone Diniz Junqueira Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil Phoebe Chen La Trobe University, Melbourne, Australia Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Krishna M. Sivalingam Indian Institute of Technology Madras, Chennai, India Takashi Washio Osaka University, Osaka, Japan Junsong Yuan Nanyang Technological University, Singapore, Singapore Lizhu Zhou Tsinghua University, Beijing, China More information about this series at http://www.springer.com/series/7899 Andrey Filchenkov Lidia Pivovarova (cid:129) Ž ž Jan i ka (Eds.) fi Arti cial Intelligence and Natural Language 6th Conference, AINL 2017 – St. Petersburg, Russia, September 20 23, 2017 Revised Selected Papers 123 Editors Andrey Filchenkov Jan Žižka ITMO University Mendel University St.Petersburg Brno Russia Czech Republic LidiaPivovarova University of Helsinki Helsinki Finland ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer andInformation Science ISBN 978-3-319-71745-6 ISBN978-3-319-71746-3 (eBook) https://doi.org/10.1007/978-3-319-71746-3 LibraryofCongressControlNumber:2017960865 ©SpringerInternationalPublishingAG2018 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. 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Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface The 6th Conference on Artificial Intelligence and Natural Language Conference (AINL), held during September 20–23, 2017, in Saint Petersburg, Russia, was orga- nized by the NLP Seminar and ITMO University. Its aim was to (a) bring together experts in the areas of natural language processing, speech technologies, dialogue systems, information retrieval, machine learning, artificial intelligence, and robotics and (b) to create a platform for sharing experience, extending contacts, and searching forpossiblecollaboration.Overall,theconferencegatheredmorethan100participants. Thereviewprocesswaschallenging.Overall,35papersweresenttotheconference and only 17 were selected, for an acceptance rate of 48%. In all, 56 researchers from differentdomainsandareaswereengagedinthedouble-blindreviewingprocess.Each paper received at least three reviews, in many cases there were four reviews. Beyond regular papers, the proceedings contain six papers about the Russian Paraphrase Detection shared task, which took place at the AINL 2016 conference. Thesepapersfollowedaslightlydifferentreviewprocessandwerenotanonymizedfor reviews. Altogether, 17 papers were presented at the conference, covering a wide range of topics,includingsocialdataanalysis,dialoguesystems,speechprocessing,information extraction, Web-scale data processing, word embedding, topic modeling, and transfer learning. Most of the presented papers were devoted to analyzing human communi- cation and creating algorithms to perform such analysis. In addition, the conference program included several special talks and events, including tutorials on neural machine translation, deception detection in language, a hackathon for plagiarism detection in Russian texts, an invited talk on the shape of the future of computational science, industry talks and demos, and a poster session. Many thanks to everybody who submitted papers and gave wonderful talks, and to whose who came and participated without publication. We are indebted to our Program Committee members for their detailed and insightful reviews; we received very positive feedback from our authors even from those whose submissions were rejected. And last but not the least, we are grateful to our organization team: Anastasia Bodrova,IrinaKrylova,AleksandrBugrovsky,NataliaKhanzhina,KseniaBuraya,and Dmitry Granovsky. November 2017 Andrey Filchenkov Lidia Pivovarova Jan Žižka Organization Program Committee Jan Žižka (Chair) Mendel University of Brno, Czech Republic Jalel Akaichi King Khalid University, Tunisia Mikhail Alexandrov Autonomous University of Barcelona, Spain Artem Andreev Russian Academy of Science, Russia Artur Azarov Saint Petersburg Institute for Informatics and Automation, Russia Alexandra Balahur EuropeanCommission,JointResearchCentre,Ispra,Italy Siddhartha Bhattacharyya RCC Institute of Information Technology, India Svetlana Bichineva Saint Petersburg State University, Russia Victor Bocharov OpenCorpora, Russia Elena Bolshakova Moscow State Lomonosov University, Russia Pavel Braslavski Ural Federal University, Russia Maxim Buzdalov ITMO University, Russia John Cardiff Institute of Technology Tallaght, Dublin, Ireland Dmitry Chalyy Yaroslavl State University, Russia Daniil Chivilikhin ITMO University, Russia Dan Cristea A. I. Cuza University of Iasi, Romania Frantisek Darena Mendel University in Brno, Czech Republic Gianluca Demartini University of Sheffield, UK Marianna Demenkova Kefir Digital, Russia Dmitry Granovsky Yandex, Russia Maria Eskevich Radboud University, The Netherlands Vera Evdokimova Saint Petersburg State University, Russia Alexandr Farseev Singapore National University, Singapore Andrey Filchenkov ITMO University, Russia Tatjana Gornostaja Tilde, Latvia Mark Granroth-Wilding University of Helsinki, Finland Jiří Hroza Rare Technologies, Czech Republic Tomáš Hudík Think Big Analytics, Czech Republic Camelia Ignat Joint Research Centre of the European Commission, Ispra, Italy Denis Kirjanov Higher School of Economics, Russia Goran Klepac University of Zagreb, Croatia Daniil Kocharov Saint Petersburg State University, Russia Artemy Kotov Kurchatov Institute, Russia Miroslav Kubat University of Miami, FL, USA Andrey Kutuzov University of Oslo, Norway Nikola Ljubešić Jožef Stefan Institute, Slovenia VIII Organization Natalia Loukachevitch Moscow State University, Russia Kirill Maslinsky National Research University Higher School of Economics, Russia Vladislav Maraev University of Gothenburg, Sweden George Mikros National and Kapodistrian University of Athens, Greece Alexander Molchanov PROMT, Russia Sergey Nikolenko Steklov Mathematical Institute, St. Petersburg, Russia Alexander Panchenko Universität Hamburg, Germany Allan Payne American University in London, UK Jakub Piskorski Joint Research Centre of the European Commission, Ispra, Italy Lidia Pivovarova University of Helsinki, Finland Ekaterina Protopopova Saint Petersburg State University, Russia Paolo Rosso Technical University of Valencia, Spain Eugen Ruppert TU Darmstadt - FG Language Technology, Germany Ivan Samborskii Singapore National University, Singapore Arun Kumar Sangaiah VIT University, Tamil Nadu, India Christin Seifert University of Passau, Germany Serge Sharoff University of Leeds, UK Jan Šnajder University of Zagreb, Croatia Maria Stepanova ABBYY, Russia Hristo Tanev Joint Research Centre of the European Commission, Ispra, Italy Irina Temnikova Qatar Computing Research Institute, Qatar Michael Thelwall University of Wolverhampton, UK Alexander Troussov Russian Presidential Academy of National Economy and Public Administration, Russia Vladimir Ulyantsev ITMO University, Russia Dmitry Ustalov Lappeenranta University of Technology, Finland Natalia Vassilieva Hewlett Packard Labs, USA Mikhail Vink JetBrains, Germany Wajdi Zaghouani Carnegie Mellon University Qatar Contents Social Interaction Analysis Semantic Feature Aggregation for Gender Identification in Russian Facebook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Polina Panicheva, Aliia Mirzagitova, and Yanina Ledovaya Using Linguistic Activity in Social Networks toPredict and Interpret Dark Psychological Traits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Arseny Moskvichev, Marina Dubova, Sergey Menshov, and Andrey Filchenkov Boosting a Rule-Based Chatbot Using Statistics and User Satisfaction Ratings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Octavia Efraim, Vladislav Maraev, and João Rodrigues Speech Processing Deep Learning for Acoustic Addressee Detection in Spoken Dialogue Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Aleksei Pugachev, Oleg Akhtiamov, Alexey Karpov, and Wolfgang Minker Deep Neural Networks in Russian Speech Recognition . . . . . . . . . . . . . . . . 54 Nikita Markovnikov, Irina Kipyatkova, Alexey Karpov, and Andrey Filchenkov Combined Feature Representation for Emotion Classification from Russian Speech. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 Oxana Verkholyak and Alexey Karpov Information Extraction Active Learning with Adaptive Density Weighted Sampling for Information Extraction from Scientific Papers . . . . . . . . . . . . . . . . . . . . 77 Roman Suvorov, Artem Shelmanov, and Ivan Smirnov Application of a Hybrid Bi-LSTM-CRF Model to the Task of Russian Named Entity Recognition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 The Anh Le, Mikhail Y. Arkhipov, and Mikhail S. Burtsev X Contents Web-Scale Data Processing Employing Wikipedia Data for Coreference Resolution in Russian . . . . . . . . 107 Ilya Azerkovich Building Wordnet for Russian Language from Ru.Wiktionary. . . . . . . . . . . . 113 Yuliya Chernobay Corpus of Syntactic Co-Occurrences: A Delayed Promise . . . . . . . . . . . . . . 121 Eduard S. Klyshinsky and Natalia Y. Lukashevich Computation Morphology and Word Embeddings A Close Look at Russian Morphological Parsers: Which One Is the Best?. . . 131 Evgeny Kotelnikov, Elena Razova, and Irina Fishcheva Morpheme Level Word Embedding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143 Ruslan Galinsky, Tatiana Kovalenko, Julia Yakovleva, and Andrey Filchenkov Comparison of Vector Space Representations of Documents for the Task of Information Retrieval of Massive Open Online Courses. . . . . . . . . . . . . . 156 Julius Klenin, Dmitry Botov, and Yuri Dmitrin Machine Learning Interpretable Probabilistic Embeddings: Bridging the Gap Between Topic Models and Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 Anna Potapenko, Artem Popov, and Konstantin Vorontsov Multi-objective Topic Modeling for Exploratory Search in Tech News . . . . . 181 Anastasia Ianina, Lev Golitsyn, and Konstantin Vorontsov A Deep Forest for Transductive Transfer Learning by Using a Consensus Measure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194 Lev V. Utkin and Mikhail A. Ryabinin Russian Paraphrase Detection Shared Task ParaPhraser: Russian Paraphrase Corpus and Shared Task . . . . . . . . . . . . . . 211 Lidia Pivovarova, Ekaterina Pronoza, Elena Yagunova, and Anton Pronoza Effect of Semantic Parsing Depth on the Identification of Paraphrases in Russian Texts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 Kirill Boyarsky and Eugeni Kanevsky
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