The open question

Open-Domain Question-Answering

Open-domain question answering

Question answering aims to develop techniques that can go beyond the retrieval of relevant documents in order to return exact answers to natural language questions, such as “How tall is the Eiffel Tower?”, “Which cities have a subway system?”, and “Who is Alberto Tomba?”. Answering natural language questions requires more complex processing of text than employed by current information retrieval...

Perspectives on an Open Question

Starting with the card game SET, we ask the question of how many cards should be laid on the table in order to guarantee the existence of a set. This question is inherently related to the maximum size of an independent set in F k 3 . Although some specific values are known, the open question resides in its asymptotic evaluation. We set up the question and then explore its meaning in the context...

Open-Ended Visual Question-Answering

This thesis studies methods to solve Visual Question-Answering (VQA) tasks with a Deep Learning framework. As a preliminary step, we explore Long Short-Term Memory (LSTM) networks used in Natural Language Processing (NLP) to tackle Question-Answering (text based). We then modify the previous model to accept an image as an input in addition to the question. For this purpose, we explore the VGG-1...

An Open Question Answering Framework

Question answering systems are currently regarded as one of the key technologies to empower lay users to access the Web of Data. Nevertheless, they still pose hard and yet unsolved research challenges. Additionally, developing and evaluating question answering systems to address those challenges is a very complex task. We present openQA, a modular open-source platform that allows developing and...