Abstract Semantic Question Answering (SQA) removes two major access requirements to
the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of …

The Natural Language Processing (NLP) community has significantly contributed to the
solutions for entity and relation recognition from a natural language text, and possibly linking …

Modern question answering (QA) systems need to flexibly integrate a number of
components specialised to fulfil specific tasks in a QA pipeline. Key QA tasks include Named …

Abstract The Language Application (LAPPS) Grid project is establishing a framework that
enables language service discovery, composition, and reuse and promotes sustainability …

This monograph proposes a comprehensive and fully automatic approach to designing text
analysis pipelines for arbitrary information needs that are optimal in terms of run-time …

This paper describes the OAQA system evaluated in the BioASQ 4B Question Answering
track. The system extends the Yang et al.(2015) system and integrates additional biomedical …

This paper describes the CMU OAQA system evaluated in the BioASQ 3B Question
Answering track. We first present a three-layered architecture, and then describe the …

In the context of the Linguistic Applications (LAPPS) Grid project, we have undertaken the
definition of a Web Service Exchange Vocabulary (WS-EV) specifying a terminology for a …

In this work we present Google's submission to the BioASQ 7 biomedical question
answering (QA) task (specifically Task 7b, Phase B). The core of our systems are based on …

As the scale of available on-line data grows ever larger, individuals and businesses must
cope with increasing complexity in decision-making processes which utilize large volumes …