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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 5 6 7 Hits 41 – 60 of 135 41 An exploratory study on multilingual quality estimation Renduchintala, Adithya; Fomicheva, Marina; Blain, Frederic... In: 366 ; 377 (2020) BASE Show details 42 Multimodal quality estimation for machine translation Specia, Lucia; Okabe, Shu; Blain, Frédéric In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ; 1233 ; 1240 (2020) BASE Show details 43 BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task Guzmán, Francisco; Fomicheva, Marina; Blain, Frédéric... In: 1010 ; 1017 (2020) BASE Show details 44 Findings of the WMT 2020 shared task on quality estimation Fomicheva, Marina; Fonseca, Erick; Guzmán, Francisco... In: 743 ; 764 (2020) BASE Show details 45 MLQE-PE: A multilingual quality estimation and post-editing dataset Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details 46 Data-Driven Sentence Simplification: Survey and Benchmark Alva-Manchego, Fernando; Scarton, Carolina; Specia, Lucia In: Computational Linguistics, Vol 46, Iss 1, Pp 135-187 (2020) (2020) BASE Show details 47 Common20LS: A Lexical Simplification Dataset with Demographic Information ... Paetzold, Gustavo Henrique; Specia, Lucia. - : Zenodo, 2019 BASE Show details 48 Common20LS: A Lexical Simplification Dataset with Demographic Information ... Paetzold, Gustavo Henrique; Specia, Lucia. - : Zenodo, 2019 BASE Show details 49 Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments Fomicheva, Marina; Specia, Lucia In: Computational Linguistics, Vol 45, Iss 3, Pp 515-558 (2019) (2019) BASE Show details 50 WMT18 Quality Estimation Shared Task Test Data Specia, Lucia; Logacheva, Varvara; Blain, Frederic. - : University of Sheffield, 2018 BASE Show details 51 WMT18 Quality Estimation Shared Task Training and Development Data Specia, Lucia; Logacheva, Varvara; Blain, Frederic. - : University of Sheffield, 2018 BASE Show details 52 A Report on the Complex Word Identification Shared Task 2018 ... Yimam, Seid Muhie; Biemann, Chris; Malmasi, Shervin. - : arXiv, 2018 BASE Show details 53 Assessing Crosslingual Discourse Relations in Machine Translation ... Smith, Karin Sim; Specia, Lucia. - : arXiv, 2018 BASE Show details 54 End-to-end Image Captioning Exploits Multimodal Distributional Similarity ... Madhyastha, Pranava; Wang, Josiah; Specia, Lucia. - : arXiv, 2018 BASE Show details 55 Defoiling Foiled Image Captions ... Madhyastha, Pranava; Wang, Josiah; Specia, Lucia. - : arXiv, 2018 BASE Show details 56 Object Counts! Bringing Explicit Detections Back into Image Captioning ... Wang, Josiah; Madhyastha, Pranava; Specia, Lucia. - : arXiv, 2018 BASE Show details 57 Text Simplification From Professionally Produced Corpora ... Scarton, Carolina; Paetzold, Gustavo Henrique; Specia, Lucia. - : Zenodo, 2018 BASE Show details 58 SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain ... Scarton, Carolina; Paetzold, Gustavo Henrique; Specia, Lucia. - : Zenodo, 2018 BASE Show details 59 SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain ... Scarton, Carolina; Paetzold, Gustavo Henrique; Specia, Lucia. - : Zenodo, 2018 Abstract: We present a sentence-level simplification corpus with content from the Public Administration (PA) domain. The corpus contains 1,100 original sentences with manual simplifications collected through a two-stage process. Firstly, annotators were asked to simplify only words and phrases (lexical simplification). Each sentence was simplified by three annotators. Secondly, one lexically simplified version of each original sentence was further simplified at the syntactic level. In its current version there are 3,300 lexically simplified sentences plus 1,100 syntactically simplified sentences. The corpus will be used for evaluation of text simplification approaches in the scope of the EU H2020 SIMPATICO project - which focuses on accessibility of e-services in the PA domain - and beyond. The main advantage of this corpus is that lexical and syntactic simplifications can be analysed and used in isolation. The lexically simplified corpus is also multi-reference (three different simplifications per original sentence). ... : https://github.com/SIMPATICOProject/simpa ... URL: https://zenodo.org/record/2551296 https://dx.doi.org/10.5281/zenodo.2551296 BASE Hide details 60 Text Simplification From Professionally Produced Corpora ... Scarton, Carolina; Paetzold, Gustavo Henrique; Specia, Lucia. - : Zenodo, 2018 BASE Show details Page: 1 2 3 4 5 6 7

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