Final call for papers: Conference on Logic and Machine Learning in Natural Language (LaML)

Conference on Logic and Machine Learning in Natural Language (LaML)

Conference dates: June 12-14, 2017

Venue: Wallenberg Conference Centre, University of Gothenburg

Organised by CLASP, University of Gothenburg

The past two decades have seen impressive progress in a variety of areas of AI, particularly NLP, through the application of machine learning methods to a wide range of tasks. With the intensive use of deep learning methods in recent years this work has produced significant improvements in the coverage and accuracy of NLP systems in such domains as speech recognition, topic identification, semantic interpretation, and image description generation.

While deep learning is opening up exciting new approaches to longstanding, difficult problems in computational linguistics, it also raises important foundational questions. Specifically, we do not have a clear formal understanding of why multi-level recursive deep neural networks achieve the success in learning and classification that they are delivering. It is also not obvious whether they should displace more traditional, logically driven methods, or be combined with them. Finally, we need to explore the extent, if any, to which both logical models and machine learning methods offer insights into the cognitive foundations of natural language.

The Conference on Logic and Machine Learning in Natural Language will address these questions and related issues. It will feature invited talks by leading researchers in both fields, and high level contributed papers selected through open competition and rigorous review. Our aim is to initiated a genuine dialogue between these two approaches, where they have traditionally remained separate and in competition.

The conference proceedings will be published online, with an ISSN, on the CLASP website. Authors 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.

Invited Speakers:

Marco Baroni, Trento
Alexander Clark, King’s College London
Devdatt Dubhashi, Chalmers
Katrin Erk, University of Texas, Austin
Joakim Nivre, Uppsala
Aarne Ranta, Gothenburg
Mehrnoosh Sadrzadeh, Queen Mary University of London
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WildML: AI, Deep Learning, NLP

Очень хороший блог про современное машинное обучение, хорошие подробные тюториалы с примерами кода, много про NLP.

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Web Science Summer School

Приглашаем Вас принять участие в международной летней школе Web Science Summer School, которая в этом году состоится в Петербурге с 1 по 8 июля. В рамках школы проведут занятия и лекции хорошо известные в области исследователи и руководители ведущих научных коллективов. Для магистрантов и аспирантов российских вузов открыта возможность льготного участия.

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An Overview of Python Deep Learning Frameworks

By Madison May, indico.

I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the “Best Python library for neural networks”, and it struck me how much the Python deep learning ecosystem has evolved over the course of the past 2.5 years. The library I recommended in July 2014, pylearn2, is no longer actively developed or maintained, but a whole host of deep learning libraries have sprung up to take its place. Each has its own strengths and weaknesses.

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GATE summer school

The 10th GATE summer school will be held from 26-30 June 2017 at the
University of Sheffield, UK.
Registration is now open, and the early registration deadline is 1 May 2017.

More information and registration details at
https://gate.ac.uk/conferences/fig/fig10.html

The focus this year will again be on mining social media and news
content with GATE. Many of the hands on exercises will be focused on
analysing tweets, blogs, news, and other social media content.

This event will follow a similar format to that of the 2016 course,
with one track Monday to Thursday, and two parallel tracks on Friday,
all delivered by the GATE development team. The course is suitable for
both programmers with Java expertise and for non-programmers.

For enquiries, please contact gate-fig[å]sheffield.ac.uk.

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CAMRL2017: Workshop on Computational Approaches to Morphologically Rich Languages

With Apologies for cross-posting
Please see below for information and submission deadlines for Workshop on Computational Approaches to Morphologically Rich Languages (#CAMRL2017), to be held at the University of Leeds, 5th of July 2017.
The Workshop is organised by the Leeds University Kartvelian Studies group and it aims to bring together established specialists and postgraduate researchstudents working in the field of computational morphology and morphosyntax.

The Workshop will feature plenary talks by Jost Gippert (Goethe University of Frankfurt), Andrew Hardie (Lancaster University) and Marina Beridze (Ivane Javakshishvili Tbilisi State University), talks and poster sessions, and a training event by Andrew Hardie focusing on Morphosyntactic Annotation Schemata.

We welcome submissions of abstracts for oral and poster presentations. Anonymous abstracts should not exceed 800 words (12-point Times New Roman font, with single spacing and margins of at least 2.54cm/1 inch), including examples and references. Each abstract should be submitted both  as a .doc, .docx or .rtf file and as an unprotected PDF file via  s.daraselia[a]leeds.ac.uk.

Deadline for abstract submission is March 31st 2017.

Please click on the link below for further details:

https://conferences.leeds.ac.uk/camrl/

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MA Computational Linguistics at the University of Wolverhampton

The Research Institute of Information and Language Processing at the University of Wolverhampton is pleased to announce its one-year MA programme in Computational Linguistics, starting in September 2017. The programme is interdisciplinary, and offers the following modules:

Python Programming
Corpus Linguistics with the R programming language
Machine Translation and other Natural Language Processing applications
Computational Linguistics
Machine Learning
Research Methods and Professional Skills
Project and Dissertation.

For further information, contact Dr. Michael Oakes (Course Leader) — Michael.Oakes[å]wlv.ac.uk or Mrs. April Harper (Course Administrator) — A.Harper2[å]wlv.ac.uk
The application link on our University website is — http://courses.wlv.ac.uk/course.asp?code=WL050P31UVD

Our Research Group page is — http://rgcl.wlv.ac.uk/compling/

Twitter: @RGCL_WLV

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Дистрибутивный тезаурус русского языка

Russian Distributional Thesaurus (сокр. RDT) – проект создания открытого дистрибутивного тезауруса русского языка. Ресурс содержит корпус текстов, векторы слов, граф подобия слов на основе семантической близости векторов слов, а также множество гиперонимов.

Визуализация 20 ближайших соседей слова "физика" в форме графа.

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20th International Conference on Text, Speech and Dialogue

Call Deadline: 31-Mar-2017

Date: 27-Aug-2017 — 31-Aug-2017
Location: Praha, Czech Republic
Web Site: http://www.tsdconference.org/

 

Meeting Description:

TSD series have evolved as a prime forum for interaction between researchers in both spoken and written language processing from all over the world. Proceedings of the TSD conference form a book published by Springer-Verlag in their Lecture Notes in Artificial Intelligence (LNAI) series. The TSD proceedings are regularly indexed by Thomson Reuters Conference Proceedings Citation Index. LNAI series are listed in all major citation databases such as DBLP, SCOPUS, EI, INSPEC, or COMPENDEX.

Invited speakers:

— Tomas Mikolov (Facebook AI Research Group, USA)
— Lucia Specia (The University of Sheffield, UK)
— Rico Sennrich (The University of Edinburgh, UK)
— other eminent personages with various expertise related to the topics of the conference have been asked to give their respective pieces of speech

TSD is traditionally published by Springer-Verlag and regularly listed in all major citation databases: Thomson Reuters Conference Proceedings Citation Index, DBLP, SCOPUS, EI, INSPEC, COMPENDEX, etc.

TSD offers high-standard transparent review process — double blind, final reviewers discussion.

TSD will take place in the historical centre of Prague, the Capital of the Czech Republic.

The conference is organized in co-operation with the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics of the Charles University.

TSD provides an all-service package (conference access and material, all meals, one social event, etc.) for an easily affordable fee starting at 290 EUR for students and 360 EUR for full participants.

Moreover, we succeeded in our effort to provide students with an accommodation option for an affordable price of 20 EUR/night (+ 5 EUR for the breakfast) in the nearby dormitories.
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Challenges for Wordnets

Date: 18-Jun-2017 — 18-Jun-2017
Location: Galway, Ireland
Contact Person: Maciej Piasecki
Web Site: http://clarin-pl.eu/workshop/wn-challenges.html

Wordnets are increasingly widely used to model word meaning in natural language processing tasks. However, there are still many challenges in accurately describing word meanings and making these descriptions useful for both human and machine users. This workshop aims to identify, discuss and start to solve existing challenges.

Much research on wordnets focuses either on their construction or their use in some application. Few papers bridge the gap by discussing how different wordnet models and construction methods affect their effectiveness in use, or how different applications require different parts of language to be modeled.

For this reason, we are experimenting with a new workshop series challenges for wordnet, to give wordnet users and developers a chance to share experiences both good and bad. It will be co-located with the First Conference on Language, Data and Knowledge (LDK 2017) in Galway, Ireland. The workshop will start with some short presentations and then finish with an extended discussion based on the challenges presented.

The workshop is supported by the CLARIN-PL research infrastructure (http://clarin-pl.eu).

LDK 2017 conference received support from the Global WordNet Association Board.

Call for Papers:

Please submit papers of between 4-10 pages, excluding references, formatted using the Springer Lecture Notes in Artificial Intelligence formatting guidelines. Submissions should be anonymous. Submissions will be reviewed by at least 3 reviewers and will be made available on online prior to the workshop.

Authors of good submissions will be invited to submit extended versions for a special issue of the Cognitive Studies | Études cognitives journal (https://ispan.waw.pl/journals/index.php/cs-ec/index). The extended versions will be carefully peer reviewed, but the scope of this special issue will be set in advance.

Papers should be submitted via: https://easychair.org/conferences/?conf=cfwns2017

We welcome position statements on the following (or related) topics:

— Issues for Modeling Languages
— Issues of Compatibility
— Application Issues
— Evaluation

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