4 papers
Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition
Subhadeep Dey, Petr Motlicek, Trung Bui +1
In this paper, we explore various approaches for semi supervised learning in an end to end automatic speech recognition (ASR) framework. The first step in our approach involves tra…
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim +2
In this study, we propose a novel graph neural network called propagate-selector (PS), which propagates information over sentences to understand information that cannot be inferred…
Robust Dialog State Tracking for Large Ontologies
Franck Dernoncourt, Ji Young Lee, Trung H. Bui +1
The Dialog State Tracking Challenge 4 (DSTC 4) differentiates itself from the previous three editions as follows: the number of slot-value pairs present in the ontology is much lar…
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task
Franck Dernoncourt, Ji Young Lee, Trung H. Bui +1
The Dialog State Tracking Challenge 4 (DSTC 4) proposes several pilot tasks. In this paper, we focus on the spoken language understanding pilot task, which consists of tagging a gi…