acqua technology full details
Participant(s):Maria Liakata, Carlos Pedrinaci, Karen Stepanyan, John Domingue
Timeline:01 Jul 2014 - 01 Oct 2014
Automatic Community-based Question Answering
ACQUA is looking at the discretised version of linguistic features of each candidate answer and predicts which answer is going to be marked as "accepted". Past knowledge such as user reputation or future knowledge, such as score of the answers is not taken into account. Hence, ACQUA can predict which answer is going to get accepted in real-time settings with minimum resources.
ACQUA makes use of the StackExchange API, fetches all answers and analyses them. Our web service is then highlighting one answer indicating it as the "accepted".
This work has been funded by the CARRE project.
Gkotsis, G., Liakata, M., Pedrinaci, C., Stepanyan, K. and Domingue, J. (2015) ACQUA: Automated Community-based Question Answering through the Discretisation of Shallow Linguistic Features, The Journal of Web Science, 1, 1
Gkotsis, G., , k., Pedrinaci, C., Domingue, J. and Liakata, M. (2014) It's all in the Content: State of the art Best Answer Prediction based on Discretisation of Shallow Linguistic Features, ACM Web Science 2014 Conference, Indiana University, Bloomington, USA, pp. 9