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Automatic Text Simplification for Social Good: Progress and Challenges ...
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2
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ...
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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
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4
Five Psycholinguistic Characteristics for Better Interaction with Users ...
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5
CoCo: A tool for automatically assessing conceptual complexity of texts
Štajner, Sanja; Nisioi, Sergiu; Hulpus, Ioana. - : European Language Resources Association, 2020
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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
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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
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8
Automated text simplification as a preprocessing step for machine translation into an under-resourced language
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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9
Tutorial: Data-driven text simplification ...
Saggion, Horacio; Štajner, Sanja. - : Zenodo, 2019
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10
Tutorial: Data-driven text simplification ...
Saggion, Horacio; Štajner, Sanja. - : Zenodo, 2019
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11
A spreading activation framework for tracking conceptual complexity of texts
Hulpus, Ioana; Štajner, Sanja; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, ACL, 2019
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12
Improving machine translation of English relative clauses with automatic text simplification
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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13
A Report on the Complex Word Identification Shared Task 2018 ...
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14
Word embeddings-based uncertainty detection in financial disclosures
Stuckenschmidt, Heiner; Theil, Christoph Kilian; Štajner, Sanja. - : Association for Computational Linguistics, 2018
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15
Automatic detection of uncertain statements in the financial domain
Theil, Christoph Kilian; Štajner, Sanja; Stuckenschmidt, Heiner. - : Springer International Publishing, 2018
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16
Automatic assessment of conceptual text complexity using knowledge graphs
Hulpus, Ioana; Štajner, Sanja. - : Association for Computational Linguistics, ACL, 2018
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17
Effects of lexical properties on viewing time per word in autistic and neurotypical readers
In: 69 ; 1 ; 158 ; 167 (2017)
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18
Sentence alignment methods for improving text simplification systems
Rosso, Paolo; Štajner, Sanja; Franco-Salvador, Mark. - : Association for Computational Linguistics, 2017
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19
Leveraging event-based semantics for automated text simplification
Štajner, Sanja; Glavaš, Goran. - : Elsevier, 2017
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20
Automatic assessment of absolute sentence complexity
Štajner, Sanja; Ponzetto, Simone Paolo; Stuckenschmidt, Heiner. - : International Joint Conferences on Artificial Intelligence, 2017
Abstract: Lexically and syntactically simpler sentences result in shorter reading time and better understanding in many people. However, no reliable systems for automatic assessment of sentence complexity have been proposed so far. Instead, the assessment is usually done manually, requiring expert human annotators. To address this problem, we first define the sentence complexity assessment as a five-level classification task, and build a ‘gold standard’ dataset. Next, we propose robust systems for sentence complexity assessment, using a novel set of features based on leveraging lexical properties of freely available corpora, and investigate the impact of the feature type and corpus size on the classification performance.
Keyword: 004 Informatik
URL: https://www.ijcai.org/proceedings/2017/0572.pdf
https://madoc.bib.uni-mannheim.de/42827/
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