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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 25 1 Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation Gupta, Kamal Kumar; Haque, Rejwanul; Ekbal, Asif... In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2-6 Nov 2020, Lisboa, Portugal. (2020) BASE Show details 2 Syntax-informed interactive neural machine translation Haque, Rejwanul; Gupta, Kamal Kumar; Ekbal, Asif... In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Syntax-informed interactive neural machine translation. In: The International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK (Online). (2020) BASE Show details 3 Rapid development of competitive translation engines for access to multilingual COVID-19 information Way, Andy; Haque, Rejwanul; Xie, Guodong... In: Way, Andy orcid:0000-0001-5736-5930 , Haque, Rejwanul orcid:0000-0003-1680-0099 , Xie, Guodong, Gaspari, Federico orcid:0000-0003-3808-8418 , Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Rapid development of competitive translation engines for access to multilingual COVID-19 information. Informatics . ISSN 2227-9709 (2020) BASE Show details 4 Machine translation of user-generated content Lohar, Pintu. - : Dublin City University. School of Computing, 2020. : Dublin City University. ADAPT, 2020 In: Lohar, Pintu (2020) Machine translation of user-generated content. PhD thesis, Dublin City University. (2020) BASE Show details 5 Parallel data extraction using word embeddings Way, Andy; Lohar, Pintu In: Lohar, Pintu and Way, Andy orcid:0000-0001-5736-5930 (2020) Parallel data extraction using word embeddings. In: NLPTA 2020 : International Conference on NLP Techniques and Applications, 28-29 Nov 2020, London, UK (Online). (2020) BASE Show details 6 The ADAPT’s submissions to the WMT20 biomedical translation task Nayak, Prashanth; Way, Andy; Haque, Rejwanul In: Nayak, Prashanth, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT’s submissions to the WMT20 biomedical translation task. In: The Fifrth Conference on Machine Translation (The Biomedical Shared Task), 19-20 Nov 2020, Dominican Republic (Online). (In Press) (2020) BASE Show details 7 Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task Haque, Rejwanul; Way, Andy; Moslem, Yasmin In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task. In: Workshop on Low Resource Domain Adaptation for Indic Machine Translation (Adap-MT 2020), 18-21 Dec 2020, Patna, India (Online). (2020) BASE Show details 8 Investigating query expansion and coreference resolution in question answering on BERT Bhattacharjee, Santanu; Way, Andy; Maillette de Buy Wenniger, Gideon... In: Bhattacharjee, Santanu, Haque, Rejwanul orcid:0000-0003-1680-0099 , Maillette de Buy Wenniger, Gideon and Way, Andy orcid:0000-0001-5736-5930 (2020) Investigating query expansion and coreference resolution in question answering on BERT. In: 25th International Conference on Natural Language & Information Systems (NLDB 2020)), 24 - 26 June 2020, Saarbrücken, Germany (Online). ISBN 978-3-030-51309-2 (2020) BASE Show details 9 Identifying complaints from product reviews: a case study on Hindi Singh, Raghvendra Pratap; Way, Andy; Hasanuzzaman, Mohammed; Haque, Rejwanul In: Singh, Raghvendra Pratap, Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2020) Identifying complaints from product reviews: a case study on Hindi. In: 28th Irish Conference on Artificial Intelligence and Cognitive Science, 7-8 Dec 2020, Dublin, Ireland. (2020) Abstract: When an expectation does not meet reality in a real-world situation, the difference is usually expressed and communicated via an act which is complaint. Customers often post reviews on the products or services they purchase on the retailer websites and different social media platforms, and the reviews may reflect complaints about the products or services. Automatic recognition of customers’ complaints on products or services that they purchase can be crucial for the organizations, multinationals and online retailers since they can exploit this information to fulfil the customers’ expectations including managing and resolving the complaints. In this work, we present the supervised and semi-supervised learning strategies to identify users’ complaints from the language they use to post their reviews. In other words, we automatically identify complaints from the opinionated texts (reviews) about products posted in Hindi. For this, first we automatically crawled the Hindi reviews on different products from the the websites of the retail giant Amazon and the popular social media platform YouTube, and prepared a gold-standard data set via a systematic manual annotation process. We use state-of-the-art classification algorithms for the complaints identification task and our classification models achieve reasonable classification accuracy (F1 = 68.38%) on a gold-standard evaluation test set. Keyword: Artificial intelligence; Computational linguistics; fastText;Dice coefficient; LSTM; Machine learning; Random walk; SMOTE URL: http://doras.dcu.ie/25290/ BASE Hide details 10 The ADAPT Centre’s neural MT systems for the WAT 2020 document-level translation task Way, Andy; Jooste, Wandri; Haque, Rejwanul In: Jooste, Wandri, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT Centre’s neural MT systems for the WAT 2020 document-level translation task. In: 7th Workshop on Asian Translation (WAT2020), 4 Dec 2020, Suzhou, China (Online). (2020) BASE Show details 11 Investigating low­-resource machine translation for English­-to­-Tamil Parthasarathy, Venkatesh Balavadhani; Haque, Rejwanul; Ramesh, Akshai... In: Ramesh, Akshai, Parthasarathy, Venkatesh Balavadhani, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Investigating low­-resource machine translation for English­-to­-Tamil. In: Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages (LoResMT 2020) AACL-IJCNLP, December 4-7, 2020, Suzhou, China (Online). (2020) BASE Show details 12 The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task Haque, Rejwanul; Way, Andy; Moslem, Yasmin In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. In: 4th Workshop on Neural Generation and Translation (WNGT 2020), 10 July 2020, Seattle, WA, USA (Online). (2020) BASE Show details 13 An error-based investigation of statistical and neural machine translation performance on Hindi-to-Tamil and English-to-Tamil Haque, Rejwanul; Parthasarathy, Venkatesh Balavadhani; Way, Andy... In: Ramesh, Akshai, Parthasarathy, Venkatesh Balavadhani, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) An error-based investigation of statistical and neural machine translation performance on Hindi-to-Tamil and English-to-Tamil. In: 7th Workshop on Asian Translation (WAT2020), 4 Dec 2020, Suzhou, China (Online). (2020) BASE Show details 14 The ADAPT system description for the WMT20 news translation task Way, Andy; Ramesh, Akshai; Parthasarathy, Venkatesh Balavadhani... In: Parthasarathy, Venkatesh Balavadhani, Ramesh, Akshai, Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the WMT20 news translation task. In: Fifth Conference on Machine Translation (NEWS Shared Task), 19 -20 Nov 2020, Dominican Republic (Online). (2020) BASE Show details 15 A human evaluation of English-Irish statistical and neural machine translation Way, Andy; Moorkens, Joss; Lynn, Teresa... In: Dowling, Meghan orcid:0000-0003-1637-4923 , Castilho, Sheila orcid:0000-0002-8416-6555 , Moorkens, Joss orcid:0000-0003-4864-5986 , Lynn, Teresa and Way, Andy orcid:0000-0001-5736-5930 (2020) A human evaluation of English-Irish statistical and neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 6 Nov 2020, Lisbon, Portugal. (2020) BASE Show details 16 Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task Moslem, Yasmin; Way, Andy; Haque, Rejwanul In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task. In: Workshop on Low Resource Domain Adaptation for Indic Machine Translation (Adap-MT 2020), 18-21 Dec 2020, Patna, India (Online). (In Press) (2020) BASE Show details 17 Arabisc: context-sensitive neural spelling checker Way, Andy; Moslem, Yasmin; Haque, Rejwanul In: Moslem, Yasmin orcid:0000-0003-4595-6877 , Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Arabisc: context-sensitive neural spelling checker. In: Proceedings of the AACL Workshop of Natural Language Processing Techniques for Educational Application (NLP-TEA), Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 4 Dec 2020, Suzhou, China (Online). (In Press) (2020) BASE Show details 18 The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task Haque, Rejwanul; Moslem, Yasmin; Way, Andy In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. In: Fourth Workshop on Neural Generation and Translation (WNGT), Association for Computational Linguistics (ACL), 10 July 2020, Seattle, WA, USA (Online). (2020) BASE Show details 19 Arabisc: context-sensitive neural spelling checker Moslem, Yasmin; Way, Andy; Haque, Rejwanul In: Moslem, Yasmin orcid:0000-0003-4595-6877 , Haque, Rejwanul orcid:0000-0003-1680-0099 and Way, Andy orcid:0000-0001-5736-5930 (2020) Arabisc: context-sensitive neural spelling checker. In: AACL Workshop of Natural Language Processing Techniques for Educational Application (NLP-TEA), Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 4 Dec 2020, Suzhou, China (Online). (2020) BASE Show details 20 The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task Haque, Rejwanul; Moslem, Yasmin; Way, Andy In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. In: Fourth Workshop on Neural Generation and Translation (WNGT), Association for Computational Linguistics (ACL), 10 July 2020, Seattle, WA, USA (Online). (2020) BASE Show details Page: 1 2

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