The main objective of this workshop is to bring together researchers interested on the use of continuous space embeddings for modelling language, semantics and meaning. Recent advances on neural networks and related machine learning applications has proven the use of continuous spaces to be useful for natural language applications in both the monolingual and cross-language settings. The topics of the workshop include, but are not restricted to: latent semantics for language processing, use of embeddings for multimodal semantics, deep learning for language modelling, cross-language information retrieval and information extraction, etc.

The workshop will include one keynote speech (to be confirmed), two oral paper presentation sessions and one interactive poster session, for a total of 8 to 10 oral papers and 4 to 6 poster papers. The expected number of participants is from 15 to 30.

For more information, please, conatct with Parth Gupta.