Domain adaptation for speech and language processing

education — Feb 08, 2019

The Idiap Research Institute in partnership with Swisscom invites applications for a post-doctoral (or similarly qualified) position in automatic speech recognition (ASR) and natural language processing (NLP). The position is funded by Swisscom, with a view to a long term collaboration.

Idiap has a new opening for a Postdoc position in Natural language processing and understanding in the context of speech recognition

education — Jul 31, 2018

The Idiap Research Institute in partnership with well known Swiss enterprises invites applications for post-doctoral positions in automatic speech recognition (ASR) and natural language processing / understanding (NLP / NLU).

Idiap has a new opening for a Postdoc position in deep learning for natural language inference

education — Jun 22, 2018

The Idiap Research Institute seeks qualified candidates for a postdoctoral position in the field of natural language understanding, developing deep learning methods related to natural language inference and summarisation.

Idiap has a new opening for two PhD positions in deep learning for natural language understanding and summarisation

education — Apr 20, 2018

The Idiap Research Institute seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

Andrei Popescu-Belis, professor at HEIG-VD and former Idiap researcher, receives prize for best article

research — Jan 23, 2018

An article, co-authored by Prof. Andrei Popescu-Belis, has received the Best Paper Award at the International Joint Conference on Natural Language Processing (IJCNLP). The article presents the research of Dr Nikolaos Pappas - a postdoc at the Idiap Research Institute in Martigny - under the supervision of Prof. Popescu-Belis, former head of Idiap’s Natural Language Processing group.

James Henderson, Idiap senior researcher, appointed as Action Editor for TACL

research — Dec 05, 2017

James Henderson, who has joined Idiap in September 2017 and is now leading Idiap's Natural Language Understanding group, has recently been appointed as Action Editorfor the "Transactions of Association for Computational Linguistics (TACL)" journal.

Idiap Researchers Nikolaos Pappas and Andrei Popescu-Belis awarded at the IJCNLP 2017

research — Dec 05, 2017

The paper "Multilingual Hierarchical Attention Networks for Document Classification" by Nikolaos Pappas and Andrei Popescu-Belis has received the Best Paper Award at the 8th International Joint Conference on Natural Language Processing, held on November 27-December 1 in Tapei, Taiwan.

Idiap has a new opening for an Internship position in Natural Language Processing on DNN-based coreference models

education — Dec 22, 2016

Co-reference is the relation between words or phrases in a text that refer to the same entity. DNNs have been successfully applied to a variety of NLP tasks, but for coreference resolution such approaches have shown limited improvement and a suitable model remains to be found. The goal of this internship is to go beyond classifiers that decide whether a pair of phrases is co-referent or not, and instead learn to represent, in the output layer, each of the entities of a text. In collaboration with a PhD student and a postdoc, the model will be applied to document-level machine translation. The work will thus relate to the EU SUMMA and SNSF MODERN projects.

Best Multimodal Paper Award to Nikolaos Pappas and co-authors at ICMR 2016

research — Jun 10, 2016

The paper "Multilingual Visual Sentiment Concept Matching" by Nikolaos Pappas, Mercan Topkara, Miriam Redi, Brendan Jou, Tao Chen, Hongyi Liu, Shih-Fu Chang has received the Best Multimodal Paper Award at the Annual ACM International Conference on Multimedia Retrieval (ICMR), held on June 6-9 in New York.

The Idiap NLP group has participated in the search and hyperlinking task at the MediaEval 2013 evaluation campaign. The NLP group was ranked first out of eleven participants on the hyperlinking task (finding video segments related to a given one) and third out of seven on the keyword video search task.