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Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation

Œe recent boom of AI has seen the emergence of many humancomputer conversation systems such as Google Assistant, Microso‰ Cortana, Amazon Echo and Apple Siri. We introduce and formalize the task of predicting questions in conversations, where the goal is to predict the new question that the user will ask, given the past conversational context. Œis task can be modeled as a “sequence matching” pr...

Plaque burden with composition? That is the next question.

The next move in neuromodulation therapy: a question of timing

INTRODUCTION The effect of time-varying electrical currents (AC) on neuronal activity is currently the focus of intense translational and multidisciplinary research efforts. Thanks to a broad range of neuromodulation modalities, it is indeed possible to induce, more or less invasively, electrical currents in brain tissue. On the non-invasive side, transcranial alternating stimulation (tACS), or...

It's Answer Time - Taking the Next Step in Question-Answering

After all the work done in tasks like question classification, query expansion or information extraction in QA, we consider that some efforts should now be put specially on giving the answer to the user. In this paper we adopt the concept of cooperative answer – that is, a correct, useful and non-misleading answer – since it is our opinion that finding and presenting the cooperative answer to t...

Investigating Embedded Question Reuse in Question Answering

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...