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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 40 1 Automatic Text Simplification for Social Good: Progress and Challenges ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Stajner, Sanja. - : Underline Science Inc., 2021 BASE Show details 2 What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Franco-Salvador, Marc; Ghanem, Bilal. - : Underline Science Inc., 2021 BASE Show details 3 CoCo: A tool for automatically assessing conceptual complexity of texts Štajner, Sanja [Verfasser]; Nisioi, Sergiu [Verfasser]; Hulpus, Ioana [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2020 DNB Subject Category Language Show details 4 Five Psycholinguistic Characteristics for Better Interaction with Users ... Štajner, Sanja; Yenikent, Seren; Franco-Salvador, Marc. - : arXiv, 2020 Abstract: When two people pay attention to each other and are interested in what the other has to say or write, they almost instantly adapt their writing/speaking style to match the other. For a successful interaction with a user, chatbots and dialogue systems should be able to do the same. We propose a framework consisting of five psycholinguistic textual characteristics for better human-computer interaction. We describe the annotation processes used for collecting the data, and benchmark five binary classification tasks, experimenting with different training sizes and model architectures. The best architectures noticeably outperform several baselines and achieve macro-averaged F$_1$-scores between 72\% and 96\% depending on the language and the task. The proposed framework proved to be fairly easy to model for various languages even with small amount of manually annotated data if right architectures are used. ... : 26 pages, 4 figures ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2012.09692 https://dx.doi.org/10.48550/arxiv.2012.09692 BASE Hide details 5 CoCo: A tool for automatically assessing conceptual complexity of texts Štajner, Sanja; Nisioi, Sergiu; Hulpus, Ioana. - : European Language Resources Association, 2020 BASE Show details 6 When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features Štajner, Sanja; Hulpus, Ioana. - : European Language Resources Association, ELRA-ELDA, 2020 BASE Show details 7 A spreading activation framework for tracking conceptual complexity of texts Hulpus, Ioana [Verfasser]; Štajner, Sanja [Verfasser]; Stuckenschmidt, Heiner [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2019 DNB Subject Category Language Show details 8 Automated text simplification as a preprocessing step for machine translation into an under-resourced language Štajner, Sanja; Popović, Maja In: Štajner, Sanja orcid:0000-0002-7780-7035 and Popović, Maja orcid:0000-0001-8234-8745 (2019) Automated text simplification as a preprocessing step for machine translation into an under-resourced language. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019) BASE Show details 9 Tutorial: Data-driven text simplification ... Saggion, Horacio; Štajner, Sanja. - : Zenodo, 2019 BASE Show details 10 Tutorial: Data-driven text simplification ... Saggion, Horacio; Štajner, Sanja. - : Zenodo, 2019 BASE Show details 11 A spreading activation framework for tracking conceptual complexity of texts Hulpus, Ioana; Štajner, Sanja; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, ACL, 2019 BASE Show details 12 Improving machine translation of English relative clauses with automatic text simplification Popović, Maja; Štajner, Sanja In: Štajner, Sanja and Popović, Maja orcid:0000-0001-8234-8745 (2018) Improving machine translation of English relative clauses with automatic text simplification. In: INLG 1st Workshop on Automatic Text Adaptation (ATA 18), 5-8 Nov 2018, Tilburg, Netherlands. (2018) BASE Show details 13 A Report on the Complex Word Identification Shared Task 2018 ... Yimam, Seid Muhie; Biemann, Chris; Malmasi, Shervin. - : arXiv, 2018 BASE Show details 14 Word embeddings-based uncertainty detection in financial disclosures Stuckenschmidt, Heiner; Theil, Christoph Kilian; Štajner, Sanja. - : Association for Computational Linguistics, 2018 BASE Show details 15 Automatic detection of uncertain statements in the financial domain Theil, Christoph Kilian; Štajner, Sanja; Stuckenschmidt, Heiner. - : Springer International Publishing, 2018 BASE Show details 16 Automatic assessment of conceptual text complexity using knowledge graphs Hulpus, Ioana; Štajner, Sanja. - : Association for Computational Linguistics, ACL, 2018 BASE Show details 17 Effects of lexical properties on viewing time per word in autistic and neurotypical readers Ponzetto, Simone Paolo; Štajner, Sanja; Yaneva, Victoria... In: 69 ; 1 ; 158 ; 167 (2017) BASE Show details 18 Sentence alignment methods for improving text simplification systems Rosso, Paolo; Štajner, Sanja; Franco-Salvador, Mark. - : Association for Computational Linguistics, 2017 BASE Show details 19 Leveraging event-based semantics for automated text simplification Štajner, Sanja; Glavaš, Goran. - : Elsevier, 2017 BASE Show details 20 Automatic assessment of absolute sentence complexity Štajner, Sanja; Ponzetto, Simone Paolo; Stuckenschmidt, Heiner. - : International Joint Conferences on Artificial Intelligence, 2017 BASE Show details Page: 1 2

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