Automatically evaluating the conceptual complexity of German texts
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs
Complexity of texts is usually assessed only at the lexical and syntactic levels. Although it is known that conceptual complexity plays a significant role in text understanding, no attempts have been made at assessing it…
Binary ClassificationKnowledge GraphsText SimplificationPseudo-Labels Are All You Need
Automatically estimating the complexity of texts for readers has a variety of applications, such as recommending texts with an appropriate complexity level to language learners or supporting the evaluation of text simpli…
AllFeature EngineeringPseudo LabelSentence+1Automatic Orality Identification in Historical Texts
Independently of the medial representation (written/spoken), language can exhibit characteristics of conceptual orality or literacy, which mainly manifest themselves on the lexical or syntactic level. In this paper we ai…
SentenceGerman4All -- A Dataset and Model for Readability-Controlled Paraphrasing in German
The ability to paraphrase texts across different complexity levels is essential for creating accessible texts that can be tailored toward diverse reader groups. Thus, we introduce German4All, the first large-scale German…
Text SimplificationCoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts
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 …
Text Simplification