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