Search Results - "Béchara, Hannah"

Transfer learning for topic labeling: Analysis of the UK House of Commons speeches 1935–2014 by Béchara, Hannah, Herzog, Alexander, Jankin, Slava, John, Peter

“…Topic models are widely used in natural language processing, allowing researchers to estimate the underlying themes in a collection of documents. Most topic…”
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The Role of Machine Translation Quality Estimation in the Post-Editing Workflow by Béchara, Hannah, Orăsan, Constantin, Parra Escartín, Carla, Zampieri, Marcos, Lowe, William

“…As Machine Translation (MT) becomes increasingly ubiquitous, so does its use in professional translation workflows. However, its proliferation in the…”
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It’s Only Words? Analysing the Roots of the Irish Party System Using Historical Parliamentary Debates by Weeks, Liam, Jankin Mikhaylov, Slava, Herzog, Alex, Ó Fathartaigh, Mícheál, Bechara, Hannah

“…Abstract While the public image of legislative debates is often less than favourable, parliamentary deliberations can be an important indicator of policy…”
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The 2022 Europe report of the Lancet Countdown on health and climate change: towards a climate resilient future by van Daalen, Kim R, Romanello, Marina, Rocklöv, Joacim, Semenza, Jan C, Tonne, Cathryn, Markandya, Anil, Dasandi, Niheer, Jankin, Slava, Achebak, Hicham, Ballester, Joan, Bechara, Hannah, Callaghan, Max W, Chambers, Jonathan, Dasgupta, Shouro, Drummond, Paul, Farooq, Zia, Gasparyan, Olga, Gonzalez-Reviriego, Nube, Hamilton, Ian, Hänninen, Risto, Kazmierczak, Aleksandra, Kendrovski, Vladimir, Kennard, Harry, Kiesewetter, Gregor, Lloyd, Simon J, Lotto Batista, Martin, Martinez-Urtaza, Jaime, Milà, Carles, Minx, Jan C, Nieuwenhuijsen, Mark, Palamarchuk, Julia, Quijal-Zamorano, Marcos, Robinson, Elizabeth J Z, Scamman, Daniel, Schmoll, Oliver, Sewe, Maquins Odhiambo, Sjödin, Henrik, Sofiev, Mikhail, Solaraju-Murali, Balakrishnan, Springmann, Marco, Triñanes, Joaquin, Anto, Josep M, Nilsson, Maria, Lowe, Rachel

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The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action by van Daalen, Kim R, Tonne, Cathryn, Semenza, Jan C, Rocklöv, Joacim, Markandya, Anil, Dasandi, Niheer, Jankin, Slava, Achebak, Hicham, Ballester, Joan, Bechara, Hannah, Beck, Thessa M, Callaghan, Max W, Carvalho, Bruno M, Chambers, Jonathan, Pradas, Marta Cirah, Courtenay, Orin, Dasgupta, Shouro, Eckelman, Matthew J, Farooq, Zia, Fransson, Peter, Gallo, Elisa, Gasparyan, Olga, Gonzalez-Reviriego, Nube, Hamilton, Ian, Hänninen, Risto, Hatfield, Charles, He, Kehan, Kazmierczak, Aleksandra, Kendrovski, Vladimir, Kennard, Harry, Kiesewetter, Gregor, Kouznetsov, Rostislav, Kriit, Hedi Katre, Llabrés-Brustenga, Alba, Lloyd, Simon J, Batista, Martín Lotto, Maia, Carla, Martinez-Urtaza, Jaime, Mi, Zhifu, Milà, Carles, Minx, Jan C, Nieuwenhuijsen, Mark, Palamarchuk, Julia, Pantera, Dafni Kalatzi, Quijal-Zamorano, Marcos, Rafaj, Peter, Robinson, Elizabeth J Z, Sánchez-Valdivia, Nacho, Scamman, Daniel, Schmoll, Oliver, Sewe, Maquins Odhiambo, Sherman, Jodi D, Singh, Pratik, Sirotkina, Elena, Sjödin, Henrik, Sofiev, Mikhail, Solaraju-Murali, Balakrishnan, Springmann, Marco, Treskova, Marina, Triñanes, Joaquin, Vanuytrecht, Eline, Wagner, Fabian, Walawender, Maria, Warnecke, Laura, Zhang, Ran, Romanello, Marina, Antó, Josep M, Nilsson, Maria, Lowe, Rachel

“…Record-breaking temperatures were recorded across the globe in 2023. Without climate action, adverse climate-related health impacts are expected to worsen…”
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Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code by Bechara, Hannah, Zhang, Ran, Yuan, Shuzhou, Jankin, Slava

“…The application of machine learning has played an important role in several aspects of text classification across domains, and has brought with it great…”
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