Research output per year
Research output per year
Abdus Salam*, Rolf Schwitter, Mehmet A. Orgun
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
We present a novel architecture of a closed domain question answering system that learns to answer why-questions from a small number of example interpretations. We use a probabilistic logic programming framework that can learn probabilities for rules from positive and negative example interpretations. These rules are then used by a meta-interpreter to generate an explanation in the form of a proof for a why-question. The explanation is displayed as an answer to the question together with a probability. In certain contexts, follow-up questions can be asked that conditionally depend on these why-questions and have an effect on the probability of the subsequent answer. The presented approach is a contribution to explainable artificial intelligence that aims to take machine learning out of the black-box.
Original language | English |
---|---|
Title of host publication | AI 2019 |
Subtitle of host publication | Advances in Artificial Intelligence - 32nd Australasian Joint Conference, 2019, Proceedings |
Editors | Jixue Liu, James Bailey |
Place of Publication | Switzerland |
Publisher | Springer |
Pages | 153-164 |
Number of pages | 12 |
ISBN (Electronic) | 9783030352882 |
ISBN (Print) | 9783030352875 |
DOIs | |
Publication status | Published - 2019 |
Event | 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019 - Adelaide, Australia Duration: 2 Dec 2019 → 5 Dec 2019 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 11919 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019 |
---|---|
Country/Territory | Australia |
City | Adelaide |
Period | 2/12/19 → 5/12/19 |
Research output: Contribution to conference › Paper