Over the last decade, support vector machine classifiers (SVMs) have demonstrated
superior generalization performance to many other classification techniques in a variety of …

Driving behavior has a large impact on vehicle fuel consumption. Dedicated study on the
relationship between the driving behavior and fuel consumption can contribute to …

Semantic parsing is the task of transducing natural language (NL) utterances into formal
meaning representations (MRs), commonly represented as tree structures. Annotating NL …

A survey of research on spoken language understanding is presented. It covers aspects of
knowledge representation, automatic interpretation strategies, semantic grammars …

In this paper, we are concerned by the improvement of the safety, availability and reliability
of dynamical systems' components subjected to slow degradations (slow drifts). We propose …

Existing semantic parsing research has steadily improved accuracy on a few domains and
their corresponding databases. This paper introduces FreeParser, a system that trains on …

Conventional text-to-SQL studies are limited to a single task with a fixed-size training and
test set. When confronted with a stream of tasks common in real-world applications, existing …

Abstract The task of Semantic Role Labeling (SRL) is often divided into two sub-tasks: verb
argument identification, and argument classification. Current SRL algorithms show lower …

Рассмотрены задачи семантико-синтаксического анализа текстов на естественных
языках. Приведен обзор подходов и методов синтаксического и семантического …

In this paper, we propose a novel method for semi-supervised learning of nonprojective log-
linear dependency parsers using directly expressed linguistic prior knowledge (eg a noun's …