natural language generation

During the workshop+tutorial days at INLG 2016, we will host the first SIGGEN Hackathon, focusing on generation for controlled natural languages (CNLs; Kuhn 2014). Based on a particular natural language, a controlled natural language aims to preserve most of its natural properties while restricting the lexicon, syntax, and/or semantics. These restrictions make hacking together a surface realizer in 24 hours a tractable enough task that we'd like you to try it!

New trends of intelligent language processing systems are emerging, such as big data analysis, social network analysis, Internet of things, smart services, mobile computing, computer games, to name a few. Applications of these trends have been applied to various domains including education, travel and tourism, healthcare, among others.

New trends of intelligent language processing systems are emerging, such as big data analysis, social network analysis, Internet of things, smart services, mobile computing, computer games, to name a few. Applications of these trends have been applied to various domains including education, travel and tourism, healthcare, among others.

Computational Pragmatics (CompPrag2016)

Workshop at the 38th Annual Conference of the German Linguistics Society (DGfS) in Konstanz, February 24-26.

Invited speakers
Kees van Deemter, University of Aberdeen
Noah Goodman, Stanford University

The Neukom Institute for Computational Science at Dartmouth College is pleased to announce the first annual Neukom Institute Prizes in Computational Arts. These competitions aim to inspire innovations in computational methods that generate artistic products, such as literary, musical, and visual art.

Two of this year's contests are in creative natural language generation: the "DigiLit" task, which encourages the creation of algorithms able to produce a short story, and "PoetiX", a competition in computer-generated sonnet writing in response to a prompt.

BioASQ challenge on large-scale biomedical semantic indexing and question answering
(part of the CLEF 2015 QA track to take place in Toulouse, France, 8-11 September, 2015)

Web site: http://bioasq.org/
twitter: https://twitter.com/bioasq
CLEF-QA site: http://nlp.uned.es/clef-qa/

The BioASQ challenge consists of two different tasks (Task 3a and Task 3b).

If you are interested in any of the following areas:

* Large-scale and hierarchical classification
* Machine learning
* Semantic Indexing, semantic similarity

Website: http://www.macs.hw.ac.uk/InteractionLab/d2t/

SCOPE

Every day, approximately 3000 new bio-medical articles are published on the Web. This averages to more than 2 articles every minute. In addition to the sheer amount of bio-medical information available on the Web, the variety of this information increases everyday and ranges from structured data in the form of ontologies to unstructured data in the form of documents.

BioASQ challenge on large-scale biomedical semantic indexing
and question answering (part of the CLEF 2014 QA track to
take place in Sheffield, UK, 15-18 September, 2014)

Web site: http://bioasq.org/
twitter: https://twitter.com/bioasq
CLEF-QA site: http://nlp.uned.es/clef-qa/

We are happy to announce that the first test for BioASQ Task 2b
(biomedical semantic QA) will take place in a few days!

If you are interested in any of the following areas:

* Question answering from unstructured and structured data

BioASQ challenge on large-scale biomedical semantic indexing and question answering
(part of the CLEF 2014 QA track to take place in Sheffield, UK, 15-18 September, 2014)

Web site: http://bioasq.org/
twitter: https://twitter.com/bioasq
CLEF-QA site: http://nlp.uned.es/clef-qa/

The BioASQ challenge consists of two different tasks (Task 2a and Task 2b).

If you are interested in any of the following areas:

* Large-scale and hierarchical classification
* Machine learning
* Semantic Indexing, semantic similarity