Understanding spatial language is important in many applications such as geographical
information systems, human computer interaction or text-to-scene conversion. Due to the …

Many NLP applications require information about locations of objects referenced in text, or
relations between them in space. For example, the phrase a book on the desk contains …

This paper provides a first investigation over existing textual inference paradigms in order to
propose a generic framework able to capture major semantic aspects in Human Robot …

The rapid growth in the digital era initiates the need to inculcate and preserve the academic
originality of translated texts. Cross-lingual semantic similarity is concerned with identifying …

In recent years, there has been a growing trend to use publicly available social media
sources within the field of journalism. Breaking news has tight reporting deadlines …

Objectives Radiology reports contain important clinical information that can be used to
automatically construct fine-grained labels for applications requiring deep phenoty**. We …

Many natural language processing applications require information about the spatial
locations of objects referenced in text, or spatial relations between these objects in space …

Spatial information extraction from natural language is important for many applications
including geographical information systems, human computer interaction, providing …

In this paper we describe the SpRL-CWW entry into SemEval 2015: Task 8 SpaceEval. It
detects spatial and motion relations as defined by the ISO-Space specifications in two …

A spatial information extraction system retrieves spatial entities and their relationships for
geological searches and reasoning. Spatial information systems have been developed …