We propose a scalable approach to learn video-based question answering (QA): to answer a free-form natural language question about the contents of a video. Our approach automatically harvests a large number of videos and descriptions freely available online. Then, a large number of candidate QA pairs are automatically generated from descriptions rather than manually annotated. Next, we use thes...

Question-&-Answer (QA) websites have emerged as efficient platforms for knowledge sharing and problem solving. In particular, the Stack Exchange platform includes some of the most popular QA communities to date, such as Stack Overflow. Initial metrics used to assess the performance of these communities include summative statistics like the percentage of resolved questions or the average time to...

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...

The task group (TG) for quality assurance for robotic radiosurgery was formed by the American Association of Physicists in Medicine's Science Council under the direction of the Radiation Therapy Committee and the Quality Assurance (QA) Subcommittee. The task group (TG-135) had three main charges: (1) To make recommendations on a code of practice for Robotic Radiosurgery QA; (2) To make recommen...

Question Answering (QA) evaluation potentially provides a way to evaluate systems that attempt to understand texts automatically. Although current QA technologies are still unable to answer complex questions that require deep inference, we believe QA evaluation techniques must be adapted to drive QA research in the direction of deeper understanding of texts. In this paper we propose such evolut...

Abstract Open-domain Question Answering models that directly leverage question-answer (QA) pairs, such as closed-book QA (CBQA) and QA-pair retrievers, show promise in terms of speed memory compared with conventional which retrieve read from text corpora. retrievers also offer interpretable answers, a high degree control, are trivial to update at test time new knowledge. However, these fall sho...