Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Niklaus, Christina"'
Publikováno v:
Proceedings of the 16th International Conference on Computer Supported Education (CSEDU 2024)
Grading exams is an important, labor-intensive, subjective, repetitive, and frequently challenging task. The feasibility of autograding textual responses has greatly increased thanks to the availability of large language models (LLMs) such as ChatGPT
Externí odkaz:
http://arxiv.org/abs/2309.11508
Sentences that present a complex syntax act as a major stumbling block for downstream Natural Language Processing applications whose predictive quality deteriorates with sentence length and complexity. The task of Text Simplification (TS) may remedy
Externí odkaz:
http://arxiv.org/abs/2308.00425
Autor:
Wambsganss, Thiemo, Niklaus, Christina, Söllner, Matthias, Handschuh, Siegfried, Leimeister, Jan Marco
We present an annotation approach to capturing emotional and cognitive empathy in student-written peer reviews on business models in German. We propose an annotation scheme that allows us to model emotional and cognitive empathy scores based on three
Externí odkaz:
http://arxiv.org/abs/2105.14815
We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences. Using a set of linguistically principled transformation patterns, inp
Externí odkaz:
http://arxiv.org/abs/2105.11178
Autor:
Wambsganss, Thiemo, Niklaus, Christina, Söllner, Matthias, Handschuh, Siegfried, Leimeister, Jan Marco
In this paper, we present a novel annotation approach to capture claims and premises of arguments and their relations in student-written persuasive peer reviews on business models in German language. We propose an annotation scheme based on annotatio
Externí odkaz:
http://arxiv.org/abs/2010.13674
We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more regular structure which is easie
Externí odkaz:
http://arxiv.org/abs/1909.12140
We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences. Contrary to previously proposed text simplification corpora, which contain only a small number of split examples, we
Externí odkaz:
http://arxiv.org/abs/1909.12131
We present an approach for recursively splitting and rephrasing complex English sentences into a novel semantic hierarchy of simplified sentences, with each of them presenting a more regular structure that may facilitate a wide variety of artificial
Externí odkaz:
http://arxiv.org/abs/1906.01038
Publikováno v:
In Knowledge-Based Systems 23 May 2023 268
