AINL FRUCT: Artificial Intelligence and Natural Language Conference
The 5th conference on Artificial Intelligence and Natural Language invites everybody interested in intellectual technologies, both from academic institutes and innovative companies. The conference aimed to bring together experts in the areas of language processing, speech technologies, dialogue systems, information retrieval, artificial intelligence and robotics; to create a platform for sharing experience, extending contacts and searching for possible collaboration.
The official language of the conference is English.
The AINL conference series has been organised since 2012 and has developed a set of distinctive features:
– a strong practical focus: industrial talks and product demonstrations is an essential part of the conference program;
– an interactive component: the conference programs includes a number of workshops and panel discussions, as well as poster session and other interactive forms
– an encouraging attitude towards students and researchers on the early stage of career.
All together, this makes AINL a nice get-together opportunity.
- АвторыRita Kuznetsova, Ilia Karpov, Alena Fenogenova, Viktor Kazorin, Andrey Filchenkov, Сергей Николенко, Vladislav Maraev, Ekaterina Pronoza, Vitaly Khudobakhshov, Kirill Skornyakov, Anastasia Romanova, Mikhail Nefedov, Янина Ледовая, Polina Panicheva, Olga Bogolyubova, Mirjam S Maucec, Natalia Loukachevitch, Elena Yagunova, Jose Millan, Ekaterina Bastrakova, Rodney Ledesma, Олеся Кольцова, Sergey Pashakhin
ОрганизаторAINL FRUCT Conference
Лекции
16- Antiplagiat ResearchRita Kuznetsova
- A general method applicable to the search for anglicisms in russian social network textsIlia Karpov, Alena Fenogenova, Viktor Kazorin
- Deep learning tutorial. Part IAndrey Filchenkov
- Deep learning tutorial. Part IIСергей Николенко
- Character-level Convolutional Neural Network for Sentence Paraphrase DetectionVladislav Maraev
- Combined Models for Russian Paraphrase Detection Shared TaskEkaterina Pronoza
- How to estimate user's real age and gender in social networkVitaly Khudobakhshov
- Neural nets for paraphrase detectionKirill Skornyakov
- HSE-School of linguistics at Russian Paraphrase Detection shared taskAnastasia Romanova, Mikhail Nefedov
- Lexical, Morphological and Semantic Correlates of the Dark Triad Personality Traits in Russian Facebook TextsЯнина Ледовая, Polina Panicheva, Olga Bogolyubova
- Morphosyntactic Tags in Statistical Machine Translation of Highly Inflectional LanguageMirjam S Maucec
- Multiword Expressions in Russian Thesauri RuThes and RuWordNetNatalia Loukachevitch
- ParaPhraser: Russian Paraphrase Corpus and Shared TaskElena Yagunova
- Relational Machine Learning Author DisambiguationJose Millan, Ekaterina Bastrakova, Rodney Ledesma
- Semantic and Geospatial Mapping of Instagram Images in Saint-PetersburgОлеся Кольцова
- Topic Modeling for Frame Analysis of News MediaSergey Pashakhin
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