This paper explores the use of set expansion (SE) to improve question answering (QA) when the expected answer is a list of entities belonging to a certain class. Given a small set of seeds, SE algorithms mine textual resources to produce an extended list including additional members of the class represented by the seeds. We explore the hypothesis that a noise-resistant SE algorithm can be used ...

Question Answering (QA) is not a new research field in Natural Language Processing (NLP). However in recent years, QA has been a subject of growing study. Nowadays, most of the QA systems have a similar pipelined architecture and each system use a set of unique techniques to accomplish its state of the art results. However, many things are not clear in the QA processing. It is not clear the ext...

We used receptor autoradiography to study the distribution of ionotropic and metabotropic quisqualate (QA) receptors in normal human cerebellar cortex and cerebellar cortex from 7 cases of olivopontocerebellar atrophy (OPCA). In normal human cerebellar cortex, both types of QA receptors were densest in the molecular layer. Both ionotropic and metabotropic QA receptors were significantly diminis...

This paper examines the methods for identifying and choosing a QA collaboration tool, whichcan serve to support and reinforce process for an organization. The following points will be addressed: • Introduction increasing importance of quality and what tools can facilitate quality • Definition of the term QA collaboration tool what is it and what can it do for you • How to select a QA collab...

This paper addresses the question: is higher capability maturity associated with adoption of Quality Assurance (QA) certification? To assess the extent of adoption of third-party QA certification by Australian software developers, a survey of 1,000 software developers was recently conducted. The questionnaire also included an assessment of their capability maturity based on the capability matur...