Search Results - "Gkatzia, Dimitra"

Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter by Pitropakis, Nikolaos, Kokot, Kamil, Gkatzia, Dimitra, Ludwiniak, Robert, Mylonas, Alexios, Kandias, Miltiadis

“…The proliferation of social media platforms changed the way people interact online. However, engagement with social media comes with a price, the users’…”
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Working with troubles and failures in conversation between humans and robots: workshop report by Förster, Frank, Romeo, Marta, Holthaus, Patrick, Wood, Luke J., Dondrup, Christian, Fischer, Joel E., Liza, Farhana Ferdousi, Kaszuba, Sara, Hough, Julian, Nesset, Birthe, Hernández García, Daniel, Kontogiorgos, Dimosthenis, Williams, Jennifer, Özkan, Elif Ecem, Barnard, Pepita, Berumen, Gustavo, Price, Dominic, Cobb, Sue, Wiltschko, Martina, Tisserand, Lucien, Porcheron, Martin, Giuliani, Manuel, Skantze, Gabriel, Healey, Patrick G. T., Papaioannou, Ioannis, Gkatzia, Dimitra, Albert, Saul, Huang, Guanyu, Maraev, Vladislav, Kapetanios, Epaminondas

“…This paper summarizes the structure and findings from the first Workshop on Troubles and Failures in Conversations between Humans and Robots . The workshop was…”
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Generating unambiguous and diverse referring expressions by Panagiaris, Nikolaos, Hart, Emma, Gkatzia, Dimitra

“…Neural Referring Expression Generation (REG) models have shown promising results in generating expressions which uniquely describe visual objects. However,…”
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Task2Dial: A Novel Task and Dataset for Commonsense enhanced Task-based Dialogue Grounded in Documents by Strathearn, Carl, Gkatzia, Dimitra

“…Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) This paper proposes a novel task on…”
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Working with roubles and failures in conversation between humans and robots: workshop report by Förster, Frank, Romeo, Marta, Holthaus, Patrick, Wood, Luke J, Dondrup, Christian, Fischer, Joel E, Liza, Farhana Ferdousi, Kaszuba, Sara, Hough, Julian, Nesset, Birthe, Hernández García, Daniel, Kontogiorgos, Dimosthenis, Williams, Jennifer, Özkan, Elif Ecem, Barnard, Pepita, Berumen, Gustavo, Price, Dominic, Cobb, Sue, Wiltschko, Martina, Tisserand, Lucien, Porcheron, Martin, Giuliani, Manuel, Skantze, Gabriel, Healey, Patrick G T, Papaioannou, Ioannis, Gkatzia, Dimitra, Albert, Saul, Huang, Guanyu, Maraev, Vladislav, Kapetanios, Epaminondas

“…This paper summarizes the structure and findings from the first . The workshop was organized to bring together a small, interdisciplinary group of researchers…”
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Data-driven approaches to content selection for data-to-text generation by Gkatzia, Dimitra

“…Data-to-text systems are powerful in generating reports from data automatically and thus they simplify the presentation of complex data. Rather than presenting…”
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Edge NLP for Efficient Machine Translation in Low Connectivity Areas by Watt, Tess, Chrysoulas, Christos, Gkatzia, Dimitra

“…Machine translation (MT) usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural…”
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Content Selection in Data-to-Text Systems: A Survey by Gkatzia, Dimitra

“…Data-to-text systems are powerful in generating reports from data automatically and thus they simplify the presentation of complex data. Rather than presenting…”
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You Are What You Write: Preserving Privacy in the Era of Large Language Models by Plant, Richard, Giuffrida, Valerio, Gkatzia, Dimitra

“…Large scale adoption of large language models has introduced a new era of convenient knowledge transfer for a slew of natural language processing tasks…”
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CAPE: Context-Aware Private Embeddings for Private Language Learning by Plant, Richard, Gkatzia, Dimitra, Giuffrida, Valerio

“…Deep learning-based language models have achieved state-of-the-art results in a number of applications including sentiment analysis, topic labelling, intent…”
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Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices by Schmidtová, Patrícia, Mahamood, Saad, Balloccu, Simone, Dušek, Ondřej, Gatt, Albert, Gkatzia, Dimitra, Howcroft, David M, Plátek, Ondřej, Sivaprasad, Adarsa

“…Automatic metrics are extensively used to evaluate natural language processing systems. However, there has been increasing focus on how they are used and…”
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An Ensemble method for Content Selection for Data-to-text Systems by Gkatzia, Dimitra, Hastie, Helen

“…We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology…”
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How to talk to strangers: Generating medical reports for first-time users by Gkatzia, Dimitra, Rieser, Verena, Lemon, Oliver

“…We propose a novel approach for handling first-time users in the context of automatic report generation from time-series data in the health domain. Handling…”
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Natural Language Generation enhances human decision-making with uncertain information by Gkatzia, Dimitra, Lemon, Oliver, Rieser, Verena

“…Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different…”
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Underreporting of errors in NLG output, and what to do about it by van Miltenburg, Emiel, Clinciu, Miruna-Adriana, Dušek, Ondřej, Gkatzia, Dimitra, Inglis, Stephanie, Leppänen, Leo, Mahamood, Saad, Manning, Emma, Schoch, Stephanie, Thomson, Craig, Wen, Luou

“…We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an…”
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Data-to-Text Generation Improves Decision-Making Under Uncertainty by Gkatzia, Dimitra, Lemon, Oliver, Rieser, Verena

“…Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. This article presents a comparison of…”
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Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP by Belz, Anya, Thomson, Craig, Reiter, Ehud, Abercrombie, Gavin, Alonso-Moral, Jose M, Arvan, Mohammad, Braggaar, Anouck, Cieliebak, Mark, Clark, Elizabeth, van Deemter, Kees, Dinkar, Tanvi, Dušek, Ondřej, Eger, Steffen, Fang, Qixiang, Gao, Mingqi, Gatt, Albert, Gkatzia, Dimitra, González-Corbelle, Javier, Hovy, Dirk, Hürlimann, Manuela, Ito, Takumi, Kelleher, John D, Klubicka, Filip, Krahmer, Emiel, Lai, Huiyuan, van der Lee, Chris, Li, Yiru, Mahamood, Saad, Mieskes, Margot, van Miltenburg, Emiel, Mosteiro, Pablo, Nissim, Malvina, Parde, Natalie, Plátek, Ondřej, Rieser, Verena, Ruan, Jie, Tetreault, Joel, Toral, Antonio, Wan, Xiaojun, Wanner, Leo, Watson, Lewis, Yang, Diyi

“…We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human…”
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GEMv2: Multilingual NLG Benchmarking in a Single Line of Code by Gehrmann, Sebastian, Bhattacharjee, Abhik, Mahendiran, Abinaya, Wang, Alex, Papangelis, Alexandros, Madaan, Aman, McMillan-Major, Angelina, Shvets, Anna, Upadhyay, Ashish, Yao, Bingsheng, Wilie, Bryan, Bhagavatula, Chandra, You, Chaobin, Thomson, Craig, Garbacea, Cristina, Wang, Dakuo, Deutsch, Daniel, Xiong, Deyi, Jin, Di, Gkatzia, Dimitra, Radev, Dragomir, Clark, Elizabeth, Durmus, Esin, Ladhak, Faisal, Ginter, Filip, Winata, Genta Indra, Strobelt, Hendrik, Hayashi, Hiroaki, Novikova, Jekaterina, Kanerva, Jenna, Chim, Jenny, Zhou, Jiawei, Clive, Jordan, Maynez, Joshua, Sedoc, João, Juraska, Juraj, Dhole, Kaustubh, Chandu, Khyathi Raghavi, Perez-Beltrachini, Laura, Ribeiro, Leonardo F. R, Tunstall, Lewis, Zhang, Li, Pushkarna, Mahima, Creutz, Mathias, White, Michael, Kale, Mihir Sanjay, Eddine, Moussa Kamal, Daheim, Nico, Subramani, Nishant, Dusek, Ondrej, Liang, Paul Pu, Ammanamanchi, Pawan Sasanka, Zhu, Qi, Puduppully, Ratish, Kriz, Reno, Shahriyar, Rifat, Cardenas, Ronald, Mahamood, Saad, Osei, Salomey, Cahyawijaya, Samuel, Štajner, Sanja, Montella, Sebastien, Shailza, Jolly, Shailza, Mille, Simon, Hasan, Tahmid, Shen, Tianhao, Adewumi, Tosin, Raunak, Vikas, Raheja, Vipul, Nikolaev, Vitaly, Tsai, Vivian, Jernite, Yacine, Xu, Ying, Sang, Yisi, Liu, Yixin, Hou, Yufang

“…Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison…”
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