Pretraining general-purpose visual features has become a crucial part of tackling many computer
vision tasks. While one can learn such features on the extensively-annotated ImageNet …

Abstract Machine reading using differentiable reasoning models has recently shown
remarkable progress. In this context, End-to-End trainable Memory Networks (MemN2N) have …

Fine-tuning a large language model on downstream tasks has become a commonly adopted
process in the Natural Language Processing (NLP)(CITATION). However, such a process, …

There have been many attempts at automatically recognising author personality traits from
text, typically incorporating linguistic features with conventional machine learning models, eg …

Quadruped robots require robust and general locomotion skills to exploit their mobility potential
in complex and challenging environments. In this work, we present an implementation of …

This paper presents our contribution to the SemEval 2016 task 5: Aspect-Based Sentiment
Analysis. We have addressed Subtask 1 for the restaurant domain, in English and French, …

In an end-to-end dialog system, the aim of dialog state tracking is to accurately estimate a
compact representation of the current dialog status from a sequence of noisy observations …

This paper describes the experimental setups and the evaluation results of the sixth Dialog
System Technology Challenges (DSTC6) aiming to develop end-to-end dialogue systems. …

Abstract Language use is known to be influenced by personality traits as well as by
sociodemographic characteristics such as age or mother tongue. As a result, it is possible to …

As current server capacity and network bandwidth become increasingly overloaded by the
rapid growth of high quality emerging multimedia services such as mobile online gaming, …