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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 Hits 1 – 20 of 33 1 Finding Structural Knowledge in Multimodal-BERT ... Milewski, Victor; de Lhoneux, Miryam; Moens, Marie-Francine. - : arXiv, 2022 BASE Show details 2 Modeling Coreference Relations in Visual Dialog ... Li, Mingxiao; Moens, Marie-Francine. - : arXiv, 2022 BASE Show details 3 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Vaidhya, Tejas; Sachan, Mrinmaya; von Kügelgen, Julius... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 4 Classifying Dyads for Militarized Conflict Analysis Torroba Hennigen, Lucas; Stoehr, Niklas; West, Robert... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 5 Efficient Sampling of Dependency Structure Vieira, Tim; Zmigrod, Ran; Cotterell, Ryan In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 6 Searching for More Efficient Dynamic Programs Cotterell, Ryan; Eisner, Jason; Vieira, Tim In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 7 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding Zhao, Chao; Sachan, Mrinmaya; Tafjord, Oyvind... In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 8 A Bayesian Framework for Information-Theoretic Probing Cotterell, Ryan; Pimentel, Tiago In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 9 Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation Manotumruksa, Jarana; Dalton, Jeffrey; Meij, Edgar. - 2021 BASE Show details 10 AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings Htait, Amal; Azzopardi, Leif. - : Springer, 2021 BASE Show details 11 Robust fragment-based framework for cross-lingual sentence retrieval Nutanong, Sarana; Sarwar, Raheem; Phatthiyaphaibun, Wannaphong... In: Findings of the Association for Computational Linguistics: EMNLP 2021 ; 935 ; 944 (2021) BASE Show details 12 Evaluating multilingual text encoders for unsupervised cross-lingual retrieval Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer, 2021 BASE Show details 13 Come hither or go away? Recognising pre-electoral coalition signals in the news Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021 BASE Show details 14 LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification ... Ghadery, Erfan; Moens, Marie-Francine. - : arXiv, 2020 BASE Show details 15 Autoregressive Reasoning over Chains of Facts with Transformers ... Cartuyvels, Ruben; Spinks, Graham; Moens, Marie-Francine. - : arXiv, 2020 BASE Show details 16 Rethinking summarization and storytelling for modern social multimedia Rudinac, Stevan; Chua, Tat-Seng; Diaz-Ferreyra, Nicolas... In: Rudinac, Stevan, Chua, Tat-Seng, Diaz-Ferreyra, Nicolas, Friedland, Gerald, Gornostaja, Tatjana, Huet, Benoit, Kaptein, Rianne, Lindén, Krister, Moens, Marie-Francine, Peltonen, Jaakko, Redi, Miriam, Schedl, Markus, Shamma, David A, Smeaton, Alan F. orcid:0000-0003-1028-8389 and Xie, Lexing (2018) Rethinking summarization and storytelling for modern social multimedia. In: The 24th International Conference on Multimedia Modeling (MMM2018), 5-7 Feb, 2018, Bangkok, Thailand. ISBN 978-3-319-73599-3 (2018) BASE Show details 17 Word-Level Loss Extensions for Neural Temporal Relation Classification ... Leeuwenberg, Artuur; Moens, Marie-Francine. - : arXiv, 2018 BASE Show details 18 A deep learning approach to bilingual lexicon induction in the biomedical domain ... Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 19 A deep learning approach to bilingual lexicon induction in the biomedical domain. ... Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 20 A deep learning approach to bilingual lexicon induction in the biomedical domain. Heyman, Geert; Vulić, Ivan; Moens, Marie-Francine. - : Springer Science and Business Media LLC, 2018. : BMC Bioinformatics, 2018 Abstract: BACKGROUND: Bilingual lexicon induction (BLI) is an important task in the biomedical domain as translation resources are usually available for general language usage, but are often lacking in domain-specific settings. In this article we consider BLI as a classification problem and train a neural network composed of a combination of recurrent long short-term memory and deep feed-forward networks in order to obtain word-level and character-level representations. RESULTS: The results show that the word-level and character-level representations each improve state-of-the-art results for BLI and biomedical translation mining. The best results are obtained by exploiting the synergy between these word-level and character-level representations in the classification model. We evaluate the models both quantitatively and qualitatively. CONCLUSIONS: Translation of domain-specific biomedical terminology benefits from the character-level representations compared to relying solely on word-level representations. It is beneficial to take a deep learning approach and learn character-level representations rather than relying on handcrafted representations that are typically used. Our combined model captures the semantics at the word level while also taking into account that specialized terminology often originates from a common root form (e.g., from Greek or Latin). Keyword: Data Mining; Deep Learning; Humans; Knowledge Bases; Multilingualism; Natural Language Processing; Semantics URL: https://www.repository.cam.ac.uk/handle/1810/288980 https://doi.org/10.17863/CAM.36243 BASE Hide details Page: 1 2

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