Call for participation: 12th Russian Summer School in Information Retrieval (RuSSIR 2018), August 27-31, 2018, Kazan, Russia

12th Russian Summer School in Information Retrieval (RuSSIR 2018)

August 27-31, 2018, Kazan, Russia,

Application deadline: July 10, 2018

*Information Retrieval for Good*
The school will be held with a special focus on applications in humanitarian, medical, and health domains.

The 12th Russian Summer School in Information Retrieval (RuSSIR 2018) will be held on August 27-31, 2018 in Kazan, Russia. The school is co-organized by the Kazan Federal University and the Russian Information Retrieval Evaluation Seminar (ROMIP).

The main goals of the RuSSIR school series are to enable students to learn about modern problems and methods in information retrieval and related disciplines; to stimulate scientific research and collaboration in the field; to create an environment for successful networking between scientists, students, and industry professionals.

RuSSIR 2018 will offer the following keynotes and courses:

* Carlos Castillo (Universitat Pompeu Fabra) — “Crisis Informatics”, “The Biases of Social Data”

* Cathal Gurrin (School of Computing, Dublin City University) — “The Information Retrieval Challenge of Lifelogs and Personal Life Archives”

* Henning Müller (University of Geneva) — “Evaluation of IR systems and multi-modal retrieval in the medical domain”


* Valentin Malykh, Mikhail Burtsev (Moscow Institute of Physics and Technology) — “Conversational AI through Deep Learning”

* Rishabh Mehrotra (Spotify Research) — “Learning from User Interactions”

* Guido Zuccon (Queensland University of Technology) — “Health Search”

* Harrie Oosterhuis (University of Amsterdam) — “Learning to Rank and Evaluation in the Online Setting”

* Prasenjit Mitra (Pennsylvania State University) — “Retrieving Information Interactively Using Natural Language”

Summer school participants will be provided with space and timeslot to present their current research projects/ideas at poster sessions to get feedback from the fellow students and the lecturers.

In addition to educational and social activity, the school will have a versatile social program.

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AINL: Call for Papers

AINL: Artificial Intellegince and Natural Language Conference

17-19 October 2018, St. Petersburg, Russia


The 7th 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 text mining, speech technologies, dialogue systems, information retrieval, machine learning, artificial intelligence and robotics; to create a platform for sharing experience, extending contacts and searching for possible collaboration.



Shalom Lappin

University of Gothenburg, King’s College London, and Queen Mary University of London


Modelling the Effect of Document Context on Sentence Acceptability



Natural Language Processing

Artificial Intelligence, Deep Learning, Machine Learning for NLP

Information Retrieval

Social Media and Social Network Analysis

Speech Generation and Recognition, Spoken Language Processing

Human-Computer Interfaces, Dialogue Systems

Linked Data and Semantic Web

Context Analysis, Text Mining

Plagiarism Detection, Author Profiling and Authorship Detection

Machine Translation, Crosslingual and Multilingual applications

Big Data and Data Mining

Robotics, Cyber-Physical Systems



May 25 — Short&Full Paper Submission Deadline

June 22 — Notification of long and short paper acceptance

July 15 — Camera-ready submission

Sptember 15 — Industrial submissions, demo and poster deadline

October 1 — Notification for industrial submissions, demo and posters

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Call for posters and demos: Workshop on dialogue and perception (DaP 2018)

Call for posters and demos: Workshop on dialogue and perception (DaP 2018)

Deadline for submission: 26 April 2018
Notification of acceptance: 10 May 2018
Workshop date: June 14-15, 2018

Venue: Wallenberg Conference Centre, University of Gothenburg

Conference webpage:

Organised by CLASP, University of Gothenburg,

The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful communication is achieved. Dialogue is multimodal, situated and embodied, with non-linguistic factors such as attention, eye gaze and gesture critical to understanding communication. However, studies on dialogue have often taken for granted that we align our perceptual representations, which are taken to be part of common ground (grounding in dialogue, Clark, 1996). They have also typically remained silent about how we integrate information from different sources and modalities and the different contribution of each of these. These assumptions are unsustainable when we consider interactions between agents with obviously different perceptual capabilities, as is the case in dialogues between humans and artificial agents, such as avatars or robots.

Contrarily, studies of perception have focussed on how an agent interacts with and interprets the information from their perceptual environment. There is significant research on how language is grounded in perception, how words are connected to perceptual representations and agent’s actions and therefore assigned meaning (grounding in action and perception, Harnad, 1990). In the last decade there has been impressive progress on integrated approaches to language, action, and perception, especially with the introduction of deep learning methods in the field of image descriptions that use end-to-end training from data. However, these have a limited integration to the dynamics of dialogue and often fail to take into account the incremental and context sensitive nature of language and the environment.

The aim of this workshop is to initiate a genuine dialogue between these related areas and to examine different approaches from computational, linguistic and psychological perspectives and how these can inform each other. It will feature invited talks by leading researchers in these areas, and high level contributed papers, presented as posters, selected through open competition and rigorous review.

We invite papers of between 2-4 pages of content and up to one additional page for references, following the ACL style guidelines. The conference proceedings will be published online, with an ISSN, on the CLASP website. Authors will have the opportunity to extend their papers for the post-proceedings and will retain the copyright of their papers and be free to publish them elsewhere, with acknowledgement.

Registration is free and participation is open. We warmly invite everyone to attend.

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*Workshop on Relevance of Linguistic Structure in Neural Architectures for NLP*

*ACL 2018, July 19th*

*Papers Due: April 8th*



*Call for long and short papers*

There is a long standing tradition in NLP focusing on fundamental language
modeling tasks such as morphological analysis, POS tagging, parsing, WSD or
semantic parsing. In the context of end-user NLP tasks, these have played
the role of enabling technologies, providing a layer of representation upon
which more complex tasks can be built. However, in recent years we have
witnessed a number of success stories for tasks ranging from information
extraction or text comprehension to machine translation, for which the use
of embeddings and neural networks has driven state of the art results to
new levels. More importantly, these are often end-to-end architectures
trained on large amounts of data and making little or no use of a
linguistically-informed language representation layer. For example, the
modeling of word senses and word sense disambiguation are implicit in the
functional composition of word embeddings. Other topics such as linear
sentence processing versus syntactic parses or frequency-based word
segmentation versus morphological analysis are still up for debate.

This workshop focuses on the role of linguistic structures in the neural
network era. We aim to gauge their significance in building better, more
generalizable NLP systems. We would like to address the following questions:

— Is linguistic information useful for neural network architectures: can
it improve state of the art neural architectures, and how should it be
used? Does it help in building models that transfer better to new domains,
new languages, new tasks, or for other limited annotated data scenarios?
— Are there any better implicit representations that neural networks can
extract, whether similar or not to linguistic structures, that can be
transferred or shared across tasks and, hence, serve as core language
representation layers?

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ESSLLI Workshop «NLP in the Era of Big Data, Deep Learning, and Post Truth»



«NLP in the Era of Big Data, Deep Learning, and Post Truth»


Workshop at ESSLLI 2018

August 13-17, 2018

Sofia, Bulgaria

Deadline: April 16, 2018, midnight Pacific Standard Time (UTC−8).



Recent years have seen fast advances of the field of Natural Language Processing (NLP) due to the simultaneous influence of two revolutionary forces: Big Data and Deep Learning. The aim of using large corpora has been prominent in NLP since an earlier statistical, corpus-based revolution of the 1990s. Indeed, in corpus-based NLP size does matter, and researchers have been exploring corpora as large as the entire Web; now this abundance of data has enabled the return of Neural Networks and the rise of Deep Learning. More recently, we have further seen the rise of Big Data with its 3Vs: Volume, Velocity, and Variety. Even more recently, with the spread of fake news, it has been suggested that a fourth V should be considered: Veracity.


The workshop welcomes work presenting new developments in applying NLP for solving problems related to Big Data, Deep Learning, and Veracity. We also invite discussion about the impact of these revolutionary forces on the field of NLP as a whole.


Selected papers that have been presented at the workshop will be invited to submit a full version of the paper to the Cybernetics and Information Technologies journal, which is indexed by SCOPUS, SJR, and some other databases:

The workshop will be held during the whole second week of the 30th edition of ESSLLI (European Summer School in Logic, Language and Information) August 13 — 17, 2018.

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Sapienza University of Rome, Italy

Department of Computer Science

Fully-funded Ph.D. positions in Natural Language Processing are open at the
Sapienza University of Rome for foreign students. Students interested in
working in the Linguistic Computing Laboratory (,
Department of Computer Science of the Sapienza (Italian Department of
Excellence, ranked first in computer science), can choose to work in the
context of a 5-year ERC Consolidator Grant funded by the European Research
Council (ERC) and headed by prof. Roberto Navigli
<>, following the success of his
MultiJEDI ERC Starting Grant ( The successful
candidate will participate in a frontier research project aimed at
designing and investigating novel neural network architectures for
multilingual disambiguation and semantic parsing and will work in the
vibrant environment of a leading and highly-active international research
team comprising 3 faculty members, 1 post-doc and 6 Ph.D. students. The
group has published dozens of papers in top-tier venues
<> in the field of
computational linguistics and artificial intelligence.

Ph.D. students in the research group have the option to interact with
Babelscape <>, a Sapienza startup company founded by
prof. Navigli which brings cutting-edge research in multilingual Natural
Language Processing to the market and makes research projects, such as the
award-winning BabelNet <>, sustainable in the long term.
Babelscape is currently working for key players in different fields,
including multinational companies, and national and international public
bodies. Around 20 developers and researchers currently work in the company.
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вакансия лингвист-разработчик в СПб

В компании Just AI ( в связи с расширением открывается вакансия на позицию лингвист-разработчик.
Нашим основным технологическим продуктом является платформа для создания чат-ботов.
Направления нашей деятельности: автоматизация служб клиентской поддержки, conversational commerce, обеспечение диалога на естественном языке с роботами и умными домами.

• Составление и проработка сценариев, тем, структуры диалогов для чат-ботов крупных компаний.
• Написание небольших скриптов для обработки данных.
• Анализ логов диалогов «клиент-оператор» и «клиент-бот», выделение структуры и разметка.

• Письменная, стилистическая‚ орфографическая, техническая грамотность, внимательность к деталям.
• Навыки программирования на любом из языков (предпочтительно — Python, JavaScript).

• Очень приветствуется практический опыт работы с системами обработки естественного языка.
• Английский язык
• Знание современных методов компьютерной лингвистики, основных задач NLP и методов их решения.
• Опыт работы с системами контроля версий Git или Mercurial.
• Наличие профильного образования по обработке естественного языка.
• Опыт работы с NLP: MyStem, NLTK.

• Работа в офисе у станции метро «Спортивная».
• Гибкое начало рабочего дня, 8-часовой рабочий день (часы присутствия с 12 до 17).
• Официальное оформление с 1го рабочего дня, «белая» заработная плата.
• Профессиональное развитие и карьерный рост.

Просим отправлять резюме на адрес:

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Dear Friends,

We invite you to submit a paper to AIST’18, a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for researchers and practitioners interested in data science. Similarly to the previous year, the conference will be particularly focused on innovative applications of data mining and machine learning techniques to image processing, analysis of social networks, text processing and other domains, such as economics or geo information systems.

The conference is intended for computer scientists and practitioners whose research interests are related to data science. The previous conferences in 2012-2017 attracted a significant number of students, researchers, academics and engineers working on analysis of images, texts, and social networks. The broad scope of AIST makes it an event where researchers from different domains, such as image and text processing, exploiting various data analysis techniques, can meet and exchange ideas. The conference allows specialists from different fields to meet each other, present their work, and discuss both theoretical and practical aspects of their data analysis problems. Another important aim of the conference is to stimulate scientists and people from the industry to benefit from the knowledge exchange and identify possible grounds for fruitful collaboration.

Similarly to the previous years, the conference proceedings will be published in the Springer’s in Lecture Notes in Computer Science (LNCS) series.


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Пятая летняя нейролингвистическая школа (21-23 мая 2018, Москва)

Дорогие коллеги,

21-23 мая 2018 г.
 состоится Пятая летняя нейролингвистическая школа на базе Лаборатории нейролингвистики НИУ ВШЭ (г. Москва).

Тема этого года — Brainwaves of Language: Neural Oscillations and Language Processing («Волны языка: осцилляторная активность мозга и речевая деятельность»). Будут рассмотрены нейролингвистические методы, основанные на электрической активности головного мозга (электроэнцефалография, в том числе регистрация вызванных потенциалов головного мозга, магнитоэнцефалография, интракраниальная электроэнцефалография) и их применение в исследованиях речевой деятельности. Среди лекторов — Рулин Бастиаансе (Нидерланды), Витория Пиаи (Нидерланды), Томмасо Феделе (Швейцария), Маттео Феурра (НИУ ВШЭ), Николай Новицкий (Гонконг), Анна Крабис (США). Также состоится постерная сессия, куда приглашаются доклады по всем областям нейролингвистики (тезисы можно подать до 23 апреля). Внимание: все лекции проводятся на английском языке.

Более подробную информацию и ссылку на регистрацию (открыта до 1 мая) вы можете найти на странице

С уважением,
Лаборатория нейролингвистики НИУ ВШЭ

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DeepLearn 2018


Genova, Italy

July 23-27, 2018

Organized by:
University of Genova
IRDTA – Brussels/London


— Early registration deadline: March 12, 2018 —



DeepLearn 2018 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.


Master’s students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2018 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.


3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.


DeepLearn 2018 will take place in Genova, the capital city of Liguria, inscribed on the UNESCO World Heritage List and with one of the most important ports of the Mediterranean. The venue will be:

Porto Antico di Genova – Centro Congressi
Magazzini del Cotone – Module 10
16128 Genova, Italy
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