Learning to Answer Questions from Wikipedia Infoboxes
Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz · 2016
A natural language interface to answers on the Web can help us access information more efficiently.We start with an interesting source of information-infoboxes in Wikipedia that summarize factoid knowledge-and develop a comprehensive approach to answering questions with high precision.We first build a system to access data in infoboxes in a structured manner.We use our system to construct a crowdsourced dataset of over 15,000 highquality, diverse questions.With these questions, we train a convolutional neural network model that outperforms models that achieve top results in similar answer selection tasks.