This paper presents a state-of-the-art approach for sentiment polarity classification. Our
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …

This paper presents a comprehensive survey on End-User Development for Human-Robot
Interaction, examining existing literature to validate findings and identify unexplored areas …

State-of-the-art approaches to reasoning and question answering over knowledge graphs
(KGs) usually scale with the number of edges and can only be applied effectively on small …

In this paper we present an ongoing work showing to what extent semantic technologies,
deep learning and natural language processing can be applied within the field of Human …

In this paper, we describe a semantic approach to translate complex natural language
commands and questions into an appropriate object-oriented source code. To address this …

The ability to reason, plan and solve highly abstract problems is a hallmark of human
intelligence. Recent advancements in artificial intelligence, propelled by deep neural …

Software development deals with larger design and development pressures and requires
software system to be developed in a shorter period. A big problem encountered during …

We present an unsupervised approach to process natural language questions that cannot
be answered by factual question answering nor advanced data querying, requiring instead …

The key to effortless end-user programming is natural language. We examine how to teach
intelligent systems new functions, expressed in natural language. As a first step, we …

This paper discusses a language-independent approach for building smart and easily-
extensible personal assistants and chatbots. Given a natural language utterance, the system …