The aim of this workshop, to be held in conjunction with the 2016 ECIR Conference, is to establish a venue to discuss research advances in cross-/multilingual related topics.
A major objective of this workshop is to focus on research questions that have not been deeply investigated so far. In particular, we solicit contributions that aim to consider the following aspects:
- Modeling: methods to develop suitable representations for multilingual corpora, possibly embedding information from different views/aspects, such as, e.g., tensor models and decompositions, word-to-vector models, statistical topic models, representational learning, etc.
- Learning: any unsupervised, supervised, and semi-supervised approach in cross/multilingual contexts.
- The use of knowledge bases to support the modeling, learning, or both stages of multilingual corpora analysis.
- Emerging trends and applications, such as, e.g., cross-view cross-/multilingual IR, multilingual text mining in social networks, etc.
The workshop will increase the visibility of the above research themes, and will also bridge closely related research fields such as information access, searching and ranking, information extraction, feature engineering, text mining.
The workshop is mainly geared towards students, researchers and practitioners actively working on topics related to information retrieval, classification, clustering, indexing and modeling of multilingual corpora collections. As a (soft) prerequisite, the audience should be knowledgeable about basics on information retrieval and data mining.