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Automatic Text Simplification for Social Good: Progress and Challenges ...
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What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ...
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Five Psycholinguistic Characteristics for Better Interaction with Users ...
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CoCo: A tool for automatically assessing conceptual complexity of texts
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Abstract:
Traditional text complexity assessment usually takes into account only syntactic and lexical text complexity. The task of automatic assessment of conceptual text complexity, important for maintaining reader's interest and text adaptation for struggling readers, has only been proposed recently. In this paper, we present CoCo - a tool for automatic assessment of conceptual text complexity, based on using the current state-of-the-art unsupervised approach. We make the code and API freely available for research purposes, and describe the code and the possibility for its personalization and adaptation in details. We compare the current implementation with the state of the art, discussing the influence of the choice of entity linker on the performances of the tool. Finally, we present results obtained on two widely used text simplification corpora, discussing the full potential of the tool.
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Keyword:
020 Bibliotheks- und Informationswissenschaft
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URL: https://madoc.bib.uni-mannheim.de/55731 https://madoc.bib.uni-mannheim.de/55731/1/2020.lrec-1.887.pdf https://madoc.bib.uni-mannheim.de/55731/
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When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features
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Automated text simplification as a preprocessing step for machine translation into an under-resourced language
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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)
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A spreading activation framework for tracking conceptual complexity of texts
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Improving machine translation of English relative clauses with automatic text simplification
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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)
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A Report on the Complex Word Identification Shared Task 2018 ...
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Word embeddings-based uncertainty detection in financial disclosures
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Automatic detection of uncertain statements in the financial domain
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Automatic assessment of conceptual text complexity using knowledge graphs
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Effects of lexical properties on viewing time per word in autistic and neurotypical readers
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In: 69 ; 1 ; 158 ; 167 (2017)
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Sentence alignment methods for improving text simplification systems
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Leveraging event-based semantics for automated text simplification
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