Cognitive Load

We present and evaluate a new model for Natural Language Generation (NLG) in Spoken Dialogue Systems, based on statis- tical planning, given noisy feedback from the current generation context (e.g. …...

The analysis of reading times can pro- vide insights into the processes that under- lie language comprehension, with longer reading times indicating greater cognitive load. There is evidence that the …...

For the task of turning a natural language ques- tion into an explicit intermediate representa- tion of the complexity in question answering systems, all published works so far use rule- …...

In this paper, a new corpus named CoLoSS (Cognitive Load by Speech and performance data in a Symbol-digit dual-task) is presented, which contains speech under cognitive load recorded in a …...

AbstractNamed Entity Recognition (NER) is an essential component of many Natural Language Processing pipelines. However, building these language dependent models requires large amounts of annotated data. Crowdsourcing emerged as a …...

AbstractNowadays Personal Assistants (PAs) are available in multiple environments and become increasingly popular to use via voice. Therefore, we aim to provide proactive PA suggestions to car drivers via speech. …...

AbstractWe propose a web-based annotation framework, SHR++, for morpho-syntactic annotation of corpora in Sanskrit. SHR++ is designed to generate annotations for the word-segmentation, morphological parsing and dependency analysis tasks in …...

AbstractVisual Question Answering (VQA) is a challenge problem that can advance AI by integrating several important sub-disciplines including natural language understanding and computer vision. Large VQA datasets that are publicly …...