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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 64 1 Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gales, Mark; Manakul, Potsawee. - : Underline Science Inc., 2021 BASE Show details 2 Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ... Manakul, Potsawee; Gales, Mark. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 3 Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ... Manakul, Potsawee; Gales, Mark J. F.. - : arXiv, 2021 BASE Show details 4 Long-Span Summarization via Local Attention and Content Selection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Gales, Mark; Manakul, Potsawee. - : Underline Science Inc., 2021 BASE Show details 5 Long-span summarization via local attention and content selection 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 Abstract: Transformer-based models have achieved state-of-the-art results in a wide range of natural language processing (NLP) tasks including document summarization. Typically these systems are trained by fine-tuning a large pre-trained model to the target task. One issue with these transformer-based models is that they do not scale well in terms of memory and compute requirements as the input length grows. Thus, for long document summarization, it can be challenging to train or fine-tune these models. In this work, we exploit large pre-trained transformer-based models and address long-span dependencies in abstractive summarization using two methods: local self-attention; and explicit content selection. These approaches are compared on a range of network configurations. Experiments are carried out on standard long-span summarization tasks, including Spotify Podcast, arXiv, and PubMed datasets. We demonstrate that by combining these methods, we can achieve state-of-the-art results on all three tasks in the ROUGE scores. Moreover, without a large-scale GPU card, our approach can achieve comparable or better results than existing approaches. ; 1. ALTA institute, Cambridge Assessment English, University of Cambridge 2. Cambridge International & St John’s College Scholarship URL: https://doi.org/10.17863/CAM.69698 https://www.repository.cam.ac.uk/handle/1810/322239 BASE Hide details 6 Complementary Systems for Off-Topic Spoken Response Detection ... Raina, Vatsal; Gales, Mark; Knill, Katherine. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 7 Automatic detection of accent and lexical pronunciation errors in spontaneous non-native English speech ... Kyriakopoulos, Konstantinos; Knill, Katherine; Gales, Mark. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 8 Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ... Knill, Katherine; Wang, L; Wang, Y. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 9 Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020 BASE Show details 10 Complementary Systems for Off-Topic Spoken Response Detection 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 BASE Show details 11 Impact of ASR performance on free speaking language assessment ... Knill, Katherine; Gales, Mark; Kyriakopoulos, Konstantinos. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 12 Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription ... Wang, Yu; Chen, Xie; Gales, Mark. - : arXiv, 2018 BASE Show details 13 Phonetic and graphemic systems for multi-genre broadcast transcription ... Wang, Yu; Chen, X; Gales, Mark. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 14 Phonetic and graphemic systems for multi-genre broadcast transcription 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 BASE Show details 15 Impact of ASR performance on free speaking language assessment Knill, Katherine; Gales, Mark; Kyriakopoulos, Konstantinos. - : ISCA, 2018. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2018 BASE Show details 16 Student-teacher training with diverse decision tree ensembles ... Wong, Jeremy; Gales, Mark. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 17 Use of graphemic lexicons for spoken language assessment ... Knill, Katherine; Gales, Mark; Kyriakopoulos, Konstantinos. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 18 Use of graphemic lexicons for spoken language assessment Knill, Katherine; Gales, Mark; Kyriakopoulos, Konstantinos. - : ISCA, 2017. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2017 BASE Show details 19 Student-teacher training with diverse decision tree ensembles Wong, Jeremy; Gales, Mark. - : ISCA, 2017. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2017 BASE Show details 20 Incorporating uncertainty into deep learning for spoken language assessment 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 BASE Show details Page: 1 2 3 4

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