Search Results for author:
Found 22 papers, 0 papers with code
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding
We propose an architecture to jointly learn word and label embeddings for slot filling in spoken language understanding.
Attention-based Semantic Priming for Slot-filling
The problem of sequence labelling in language understanding would benefit from approaches inspired by semantic priming phenomena.
Report of NEWS 2018 Named Entity Transliteration Shared Task
This report presents the results from the Named Entity Transliteration Shared Task conducted as part of The Seventh Named Entities Workshop (NEWS 2018) held at ACL 2018 in Melbourne, Australia.
Squeezing bottlenecks: exploring the limits of autoencoder semantic representation capabilities
We present a comprehensive study on the use of autoencoders for modelling text data, in which (differently from previous studies) we focus our attention on the following issues: i) we explore the suitability of two different models bDA and rsDA for constructing deep autoencoders for text data at the sentence level; ii) we propose and evaluate two novel metrics for better assessing the text-reconstruction capabilities of autoencoders; and iii) we propose an automatic method to find the critical bottleneck dimensionality for text language representations (below which structural information is lost).
Evaluating Indirect Strategies for Chinese-Spanish Statistical Machine Translation
Although, Chinese and Spanish are two of the most spoken languages in the world, not much research has been done in machine translation for this language pair.
