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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Qian Liu

Beijing Institute of Technology


Heyan Huang

Beijing Institute of Technology


Guangquan Zhang

University of Technology Sydney


Yang Gao

Beijing Institute of Technology


Junyu Xuan

University of Technology Sydney


Jie Lu

University of Technology Sydney


DOI:

10.1609/aaai.v32i1.11942


Abstract:

Representing the semantics of words is a fundamental task in text processing. Several research studies have shown that text and knowledge bases (KBs) are complementary sources for word embedding learning. Most existing methods only consider relationships within word-pairs in the usage of KBs. We argue that the structural information of well-organized words within the KBs is able to convey more effective and stable knowledge in capturing semantics of words. In this paper, we propose a semantic structure-based word embedding method, and introduce concept convergence and word divergence to reveal semantic structures in the word embedding learning process. To assess the effectiveness of our method, we use WordNet for training and conduct extensive experiments on word similarity, word analogy, text classification and query expansion. The experimental results show that our method outperforms state-of-the-art methods, including the methods trained solely on the corpus, and others trained on the corpus and the KBs.

Topics: AAAI

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HOW TO CITE:

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence AAAI 2018, .

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu (2018). Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu. Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu. 2018. Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu. (2018) "Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu, "Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence", AAAI, p., 2018.

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu. "Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu. "Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Qian Liu||Heyan Huang||Guangquan Zhang||Yang Gao||Junyu Xuan||Jie Lu. Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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