Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition and Applications
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4026-4026.
Abstract
There are various aspects of making computers understand natural language. Semantic parsing and reasoning on commonsense knowledge are the two important ones. Many NLU tasks such as question answering and co-reference resolution require semantic parsing of text and reasoning with different kinds of commonsense knowledge. In this work we present our progress towards these milestones of NLU. We demonstrate the steps we took towards the goal and the tools/techniques we developed, such as a semantic parser and a novel algorithm to automatically acquire commonsense knowledge from text. We also show the usefulness of the developed tools by applying them to solve tasks such as hard co-reference resolution. This is an ongoing research and in this paper we present our current progress and the future plans to reach the goal of developing a fully autonomous natural language understanding framework.
@inproceedings{ijcai2016p587,
title = {Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition and Applications},
author = {Sharma, Arpit},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4026--4026},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/587},
}
TY - CPAPER TI - Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition and Applications AU - Sharma, Arpit T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4026 EP - 4026 UR - https://ijcai.org/proceedings/2016/587 ER -Copied
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