Did You Know? - Mining Interesting Trivia for Entities from Wikipedia
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 3164-3169.
Abstract
Trivia is any fact about an entity which is interesting due to its unusualness, uniqueness, unexpectedness or weirdness. In this paper, we propose a novel approach for mining entity trivia from their Wikipedia pages. Given an entity, our system extracts relevant sentences from its Wikipedia page and produces a list of sentences ranked based on their interestingness as trivia. At the heart of our system lies an interestingness ranker which learns the notion of interestingness, through a rich set of domain-independent linguistic and entity based features. Our ranking model is trained by leveraging existing user-generated trivia data available on the Web instead of creating new labeled data. We evaluated our system on movies domain and observed that the system performs significantly better than the defined baselines. A thorough qualitative analysis of the results revealed that our rich set of features indeed help in surfacing interesting trivia in the top ranks.
@inproceedings{ijcai2015p446,
title = {Did You Know? - Mining Interesting Trivia for Entities from Wikipedia},
author = {Prakash, Abhay and Chinnakotla, Manoj Kumar and Patel, Dhaval and Garg, Puneet},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {3164--3169},
year = {2015},
month = {7},
note = {Special Track on Knowledge Representation and Reasoning},
url = {https://ijcai.org/proceedings/2015/446},
}
TY - CPAPER TI - Did You Know? - Mining Interesting Trivia for Entities from Wikipedia AU - Prakash, Abhay AU - Chinnakotla, Manoj Kumar AU - Patel, Dhaval AU - Garg, Puneet T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 3164 EP - 3169 UR - https://ijcai.org/proceedings/2015/446 ER -Copied
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