Author of the publication

UdS-(retrain|distributional|surface): Improving POS Tagging for OOV Words in German CMC and Web Data.

, , and . WAC@ACL, page 63-71. Association for Computational Linguistics, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Unsupervised Ranked Cross-Lingual Lexical Substitution for Low-Resource Languages., , and . LREC, European Language Resources Association (ELRA), (2016)Computer-Assisted Scoring of Short Responses: The Efficiency of a Clustering-Based Approach in a Real-Life Task., , and . PolTAL, volume 8686 of Lecture Notes in Computer Science, page 298-310. Springer, (2014)Analyzing short-answer questions and their automatic scoring - studies on semantic relations in reading comprehension and the reduction of human annotation effort.. Saarland University, Saarbrücken, Germany, (2019)Investigating Active Learning for Short-Answer Scoring., and . BEA@NAACL-HLT, page 301-311. The Association for Computer Linguistics, (2016)Don't take "nswvtnvakgxpm" for an answer -The surprising vulnerability of automatic content scoring systems to adversarial input., , , , and . COLING, page 882-892. International Committee on Computational Linguistics, (2020)UdS-(retrain|distributional|surface): Improving POS Tagging for OOV Words in German CMC and Web Data., , and . WAC@ACL, page 63-71. Association for Computational Linguistics, (2016)Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays., , and . ACL (Findings), page 13052-13063. Association for Computational Linguistics, (2023)CATALPA_EduNLP at PragTag-2023., , and . ArgMining@EMNLP, page 197-201. Association for Computational Linguistics, (2023)Semi-Supervised Clustering for Short Answer Scoring., and . LREC, European Language Resources Association (ELRA), (2018)Rainbow - A Benchmark for Systematic Testing of How Sensitive Visio-Linguistic Models are to Color Naming., , and . EACL (1), page 1858-1875. Association for Computational Linguistics, (2024)