18 citations · 25 across the 5 of their papers we have counts for
5 papers · 1 filter
Partially-supervised Mention Detection
Lesly Miculicich, James Henderson
Learning to detect entity mentions without using syntactic information can be useful for integration and joint optimization with other tasks. However, it is common to have partiall…
Multilingual Bottleneck Features for Query by Example Spoken Term Detection
Dhananjay Ram, Lesly Miculicich, Hervé Bourlard
State of the art solutions to query by example spoken term detection (QbE-STD) usually rely on bottleneck feature representation of the query and audio document to perform dynamic…
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas +1
Neural Machine Translation (NMT) can be improved by including document-level contextual information. For this purpose, we propose a hierarchical attention model to capture the cont…
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
Nikolaos Pappas, Lesly Miculicich Werlen, James Henderson
Tying the weights of the target word embeddings with the target word classifiers of neural machine translation models leads to faster training and often to better translation quali…
Self-Attentive Residual Decoder for Neural Machine Translation
Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram +1
Neural sequence-to-sequence networks with attention have achieved remarkable performance for machine translation. One of the reasons for their effectiveness is their ability to cap…