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Found 10 papers, 1 papers with code
Claim extraction from text using transfer learning.
Building an end to end fake news detection system consists of detecting claims in text and later verifying them for their authenticity.
Overview of the GermEval 2022 Shared Task on Text Complexity Assessment of German Text
We designed the task as text regression in which participants developed models to predict complexity of pieces of text for a German learner in a range from 1 to 7.
A Transfer Learning Based Model for Text Readability Assessment in German
Text readability assessment has a wide range of applications for different target people, from language learners to people with disabilities.
PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection
In this paper we introduce PerPaDa, a Persian paraphrase dataset that is collected from users' input in a plagiarism detection system.
MuLVE, A Multi-Language Vocabulary Evaluation Data Set
Vocabulary learning is vital to foreign language learning.
A Feature Extraction based Model for Hate Speech Identification
This paper presents TU Berlin team experiments and results on the task 1A and 1B of the shared task on hate speech and offensive content identification in Indo-European languages 2021.
Hamtajoo: A Persian Plagiarism Checker for Academic Manuscripts
In recent years, due to the high availability of electronic documents through the Web, the plagiarism has become a serious challenge, especially among scholars.
Untrue.News: A New Search Engine For Fake Stories
In this paper, we demonstrate Untrue News, a new search engine for fake stories.
Subjective Assessment of Text Complexity: A Dataset for German Language
This paper presents TextComplexityDE, a dataset consisting of 1000 sentences in German language taken from 23 Wikipedia articles in 3 different article-genres to be used for developing text-complexity predictor models and automatic text simplification in German language.
