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

CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity

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

Qin Chen

East China Normal University


Qinmin Hu

East China Normal University


Jimmy Xiangji Huang

York University


Liang He

East China Normal University


DOI:

10.1609/aaai.v32i1.11273


Abstract:

The recurrent neural networks (RNNs) have shown good performance for sentence similarity modeling in recent years. Most RNNs focus on modeling the hidden states based on the current sentence, while the context information from the other sentence is not well investigated during the hidden state generation. In this paper, we propose a context-aligned RNN (CA-RNN) model, which incorporates the contextual information of the aligned words in a sentence pair for the inner hidden state generation. Specifically, we first perform word alignment detection to identify the aligned words in the two sentences. Then, we present a context alignment gating mechanism and embed it into our model to automatically absorb the aligned words' context for the hidden state update. Experiments on three benchmark datasets, namely TREC-QA and WikiQA for answer selection and MSRP for paraphrase identification, show the great advantages of our proposed model. In particular, we achieve the new state-of-the-art performance on TREC-QA and WikiQA. Furthermore, our model is comparable to if not better than the recent neural network based approaches on MSRP.

Topics: AAAI

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HOW TO CITE:

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity AAAI 2018, .

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He (2018). CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He. CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He. 2018. CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He. (2018) "CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He, "CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity", AAAI, p., 2018.

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He. "CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He. "CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Qin Chen||Qinmin Hu||Jimmy Xiangji Huang||Liang He. CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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