sequential models

. Although several recent studies have shown that alignment quality is a poor in- dicator of the resulting translation quality, the word alignment models currently considered to be default (the …...

This paper addresses the extraction of event records from documents that describe multi- ple events. Specifically, we aim to identify the fields of information contained in a docu- ment and …...

AbstractText simplification aims at making a text easier to read and understand by simplifying grammar and structure while keeping the underlying information identical. It is often considered an all-purpose generic …...

AbstractData privacy is an important issue for “machine learning as a service” providers. We focus on the problem of membership inference attacks: Given a data sample and black-box access to …...

AbstractSemantic change detection concerns the task of identifying words whose meaning has changed over time. Current state-of-the-art approaches operating on neural embeddings detect the level of semantic change in a …...

Spoken language understanding (SLU) sys- tems using deep learning techniques require ef- fective intent detection and slot filling models. Previous studies in this field taking advantage of sequence to sequence …...