Machine Learning

CALL FOR WORKSHOP PROPOSALS -- SECOND ROUND

13th International Conference on Computational Semantics (IWCS)

University of Gothenburg, Sweden

23-27th May 2019

https://sites.google.com/view/iwcs2019/home

AKBC 2019
1st Conference on Automated Knowledge Base Construction (AKBC)
May 20-22, 2019, Monday-Wednesday, Amherst, MA
www: http://www.akbc.ws ; email: info [at] akbc.ws

Apologies for cross-postings.

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CLIN29
January 31, 2019
Groningen
http://www.let.rug.nl/clin29/index.php

Call for Abstracts and Call for Participation at Shared Task
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*** Web version at: http://www.let.rug.nl/clin29/call_for_papers.php ***

CLIN 29: Computational Linguistics in the Netherlands - First Call for Abstracts

DEADLINE EXTENDED TO JULY 7

Conference dates: September 5-6, 2018

Venue: Wallenberg Conference Centre, University of Gothenburg


Organised by ACT Area of Advance, Chalmers University and CLASP, FLoV University of Gothenburg

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

August 27-31, 2018, Kazan, Russia, http://romip.ru/russir2018/

Recommended deadline: July 1, 2018

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

SIGNLL, the Association for Computational Linguistics’ Special Interest Group on Natural Language Learning, invites you to submit your papers to CoNLL 2018 (October 31 – November 1, 2018) in Brussels, Belgium.

Topics
We invite the submission of papers on all aspects of computational approaches to natural language learning, including, but not limited to:

*** Registration for Track 1 is now open at https://portal.dbmi.hms.harvard.edu/projects/n2c2-t1/ ***

2018 n2c2 Shared-Task and Workshop
Announcement and Call for Participation
https://n2c2.dbmi.hms.harvard.edu

2018 n2c2 Shared-Task and Workshop -- Track 2: Adverse Drug Events

We are pleased to announce that Track 2 of the n2c2 shared task will be starting next Monday, July 23.

This task aims to answer the question: “Can NLP systems automatically discover drug to adverse event (ADE) relations in clinical narratives?” The task builds on past medication extraction tasks, but examines a broader set of patients, diseases, and relations as compared with previous challenges. The task consists of three subtasks:

Natural Language Generation (NLG) is in the ascendant both as a stand-alone data-to-text or text-to-text task and as part of downstream applications (see, e.g., abstractive summarization, dialogue-based interaction, question answering, etc.). Only in 2017, three “deep” NLG shared tasks that focused on language generation from abstract semantic representations have been organized: WebNLG, SemEval Task 9 , E2E.

News: paper submission now open