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.
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
Submission of papers:
EasyChair submission address: https://easychair.org/conferences/?conf=laml2017
Contact email address: laml2017 at easychair.org
LaTeX style files: http://eacl2017.org/images/site/eacl-2017-template.zip (this appears to be the latest version of ACL style, ACL 2017 have not been published yet, there is no Word version).
Camera copies will be up to 5 pages + references.
We anticipate accepting 17 papers for oral presentation, and up to 20 papers for poster presentation.
1. Deadline for submission: April 4, 2017 ***SUBMISSION DEADLINE EXTENDED TO 14 APRIL***
2. Notification of authors: April 27, 2017
3. Camera ready papers due: May 9, 2017
The LaML Programme Committee:
Marco Baroni, Trento Islam Beltagy, University of Texas, Austin Jean-Philippe Bernardy, Gothenburg Gemma Boleda, Universitat Pompeu Fabra Stergios Chatzikyriakidis, Gothenburg Alexander Clark, King’s College London Robin Cooper, Gothenburg Simon Dobnik, Gothenburg Devdatt Dubhashi, Chalmers Katrin Erk, University of Texas, Austin Julian Hough, Bielefeld Christine Howes, Gothenburg John D. Kelleher, Dublin Institute of Technology Shalom Lappin, Gothenburg Staffan Larsson, Gothenburg Julian Michael, Washington Joakim Nivre, Uppsala Stephan Oepen, Oslo Barbara Plank, Groningen Matthew Purver, Queen Mary University of London Aarne Ranta, Gothenburg Mehrnoosh Sadrzadeh, Queen Mary University of London Anders Søgaard, Copenhagen Charalambos Themistocleous, Gothenburg