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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Abstract:
Transformer models have achieved state-of-the-art results in a wide range of NLP tasks including summarization. Training and inference using large transformer models can be computationally expensive. Previous work has focused on one important bottleneck, the quadratic self-attention mechanism in the encoder. Modified encoder architectures such as LED or LoBART use local attention patterns to address this problem for summarization. In contrast, this work focuses on the transformer's encoder-decoder attention mechanism. The cost of this attention becomes more significant in inference or training approaches that require model-generated histories. First, we examine the complexity of the encoder-decoder attention. We demonstrate empirically that there is a sparse sentence structure in document summarization that can be exploited by constraining the attention mechanism to a subset of input sentences, whilst maintaining system performance. Second, we propose a modified architecture that selects the subset of ... : EMNLP 2021 (short paper, main conference) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2109.03888 https://dx.doi.org/10.48550/arxiv.2109.03888
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Long-Span Summarization via Local Attention and Content Selection ...
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Long-span summarization via local attention and content selection
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Manakul, Potsawee; Gales, Mark. - : ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2021
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Complementary Systems for Off-Topic Spoken Response Detection ...
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Automatic detection of accent and lexical pronunciation errors in spontaneous non-native English speech ...
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Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ...
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Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems
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Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020
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Complementary Systems for Off-Topic Spoken Response Detection
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Raina, Vatsal; Gales, Mark; Knill, Katherine. - : Association for Computational Linguistics, 2020. : https://aclanthology.org/volumes/2020.bea-1/, 2020. : INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS, 2020
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Impact of ASR performance on free speaking language assessment ...
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Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription ...
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Phonetic and graphemic systems for multi-genre broadcast transcription ...
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Phonetic and graphemic systems for multi-genre broadcast transcription
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Wang, Yu; Chen, X; Gales, Mark. - : IEEE, 2018. : https://ieeexplore.ieee.org/document/8462353, 2018. : ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2018
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Impact of ASR performance on free speaking language assessment
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Student-teacher training with diverse decision tree ensembles ...
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Use of graphemic lexicons for spoken language assessment ...
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Student-teacher training with diverse decision tree ensembles
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Wong, Jeremy; Gales, Mark. - : ISCA, 2017. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2017
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Incorporating uncertainty into deep learning for spoken language assessment
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Malinin, Andrey; Ragni, Anton; Knill, Katherine. - : Association for Computational Linguistics, 2017. : ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2017
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