Welcome to my webpage !
I'm a PhD student in computational linguistics in Tübingen.
My main research interest relates to the question of how automatic content assessment of authentic learner data can efficiently be performed in order to provide feedback to learners.
I'm working in the projects A4 and T1 in the SFB 833 to find answers to this question.
In addition to my research I have an assistant position with Detmar Meurers that includes teaching courses at the University of Tübingen.
I am the M.A. Study Advisor for Computational Linguistics at the University of Tübingen.
2018/10/12: on October 17 at 17 c.t. I will host a general introduction to the module handbook and exam regulations for master students in computational linguistics; all master students and those interested in becoming one are cordially invited to join us in room 1.13; I will start off with a general introduction and the answer specific questions
2018/10/07: I will be in a school doing empirical testing on Monday, October 8 starting from 7:30. Normally I should be back in time for the office hours, but depending on the traffic I might arrive a bit late. So if you plan to come, please drop me a line so we can schedule a meeting at maybe 10:15 or 10:30 to be safe in terms of time constraints.
2018/09/21: Announcement: no office hours on Monday, October 1 since I will be attending the INDUS network meeting in Essen
2018/08/18: new video that summarizes the topic of my PhD studies: https://youtu.be/nyAmQiJBGPw
2018/08/13: no office hours on September 17 and 24 since I will be on vacation between September 17 and 28; in this time I will also not read my e-mail regularly, so please send important requests beforehand or afterwards
2018/07/23: office hours start at 10:30 today because I attend part of the LEAD summer school
2018/06/13: New publication online: BEA 2018 paper!
2018/07/12: webpage relaunch in new design and with new features
- Björn Rudzewitz, Ramon Ziai, Kordula De Kuthy, Verena Möller, Florian Nuxoll, and Detmar Meurers. Generating feedback for English foreign language exercises. In Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), pages 127--136. ACL, 2018. [pdf]
- Detmar Meurers, Kordula De Kuthy, Verena Möller, Florian Nuxoll, Björn Rudzewitz, and Ramon Ziai. Digitale Differenzierung benötigt Informationen zu Sprache, Aufgabe und Lerner. Zur Generierung von individuellem Feedback in einem interaktiven Arbeitsheft. FLuL -- Fremdsprachen Lehren und Lernen, 47(2), 2018.
- Björn Rudzewitz, Ramon Ziai, Kordula De Kuthy and Detmar Meurers. Developing a web-based workbook
for English supporting the interaction of students and teachers. Proceedings of the Joint 6th Workshop
on NLP for Computer Assisted Language Learning and 2nd Workshop on NLP for Research on Language
Acquisition at NoDaLiDa 2017. Linköping Electronic Conference Proceedings 134: 36–46. [pdf]
- Björn Rudzewitz. An Integrated Approach to Answer Selection in Question Answering: Exploring Multiple Information Sources and Domain Adaptation. Submitted in partial fulfilment of the requirements for the degree of Master of Arts in Computational Linguistics (M.A. Thesis).
[ pdf ]
Björn Rudzewitz. Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism
Detection. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications,
pages 235–241, San Diego, CA, June 2016. Association for Computational Linguistics. [pdf | poster]
- Björn Rudzewitz. Alignment Weighting for Short Answer Assessment. Submitted in partial fulfilment of the requirements for the degree of Bachelor of Arts in Computational Linguistics (B.A. Thesis).
[ pdf | slides ]
- Ramon Ziai and Björn Rudzewitz. CoMiC: Exploring text segmentation and similarity in the English Entrance Exams task. In Linda Cappellato, Nicola Ferro, Gareth J. F. Jones, and Eric San Juan, editors, Working Notes of CLEF 2015 -- Conference and Labs of the Evaluation forum, volume 1391 of CEUR Workshop Proceedings, 2015.
[ pdf ]
- Björn Rudzewitz and Ramon Ziai. CoMiC: Adapting a short answer assessment system for answer selection. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 247--251. Association for Computational Linguistics, 2015.
[ pdf | poster ]
- Albert Wall, Niels Ott, Ramon Ziai, and Björn Rudzewitz. Macunaíma as a data source for the distribution and interpretation of bare NPs in Brazilian Portuegese: Corpus preparation and first annotation agreement results. Poster at the Third International Conference on Ibero-Romance Historical Corpora (CODILI 3), 6 2014.
[ poster ]
Talks, Presentations, Workshops
- 19/12/2017: Presentation of FeedBook prototype in the proseminar "Current Trends in Linguistcs"
- 22/05/2017: Presentation of paper "Developing a web-based workbook supoorting the interaction of students and teachers" at the NLP4CALL Workshop 2017 (Gothenburg, Sweden) [link]
- 17/05/2017: Full-day workshop "NLP Technologies for Automatic Analysis of Language Productions" (with Xiaobin Chen) at the CALICO 2017 conference (Flagstaff, Arizona, USA) [link]
- 05/10/2016: Presentation of the FeedBook prototype at the SFB Days 2016 [poster]
- 16/06/2016: Presentation of the work "Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism Detection" at
The 11th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-11) [poster]
- 13/05/2016: "A gentle introduction to UIMA" at the Oberseminar: hands-on session on UIMA's theoretical and practical foundations.
Get the slides here.
Get the materials here.
- 17/02/2016: Presentation of Alignment Weighting at the KonferenzLE 2016 (link)
[ slides ]
I am responsible for the M.A. advising for Computational Linguistics at the University of Tübingen. This means if you have any questions related to the M.A. studies, questions to the exam regulations, admission requirements, etc., please contact me and I will resolve the questions or problems.
Here (link) you can find information about how to get in touch with me.
in requests for M.A. advising, please include information about your subject of study and the degree program according to which you are studying at the moment. Having this information I can give you targeted advice.
Frequently Asked Questions:
Q: Where can I get information about the structure of the M.A. studies in Computational Linguistics ?
A: In the exam regulations and the module handbook on the web page of the Prüfungsamt (link).
Q: Which document should I definitely read carefully before and during the studies ?
A: The most important document for you is the module handbook
- Q: To which module do I need to count my courses specified in the admission requirements ?
A: Module ISCL-MA-02
- Q: How many courses need to be counted in the core/supplementary area ?
A: 45 ECTS in the core, 45 ECTS in the supplementary area. Each area consists of modules with 15 ECTS each, and you need to fulfill each individual module.
- Q: On my admission requirements it is stated that I need to complete the prescribed courses within one year or when first offered. What do I do when the courses are not offered such that I can complete them in one year ?
A: Some courses are only offered every second semester and have admission requirements. In this case take the courses the first time they are offered and in the order they are intended.
- Q: How can I get courses external to the SfS approved ?
A: Please contact me before taking the course. I will check whether it is eligible and inform you about the decision.
- Q: Where can I get a LaTeX template for my Master's thesis ?
A: Send me an e-mail (see Contact) andI will provide you with a template you can use as a starting point.
- Q: From where do I know whether a Hauptseminar at the Seminar für Sprachwissenschaft is from the core or supplementary area ?
A: Take a look at the Campus page or the introductory meeting handout distributed at the beginning of each semester.
- Q: Where can I hear more about the seminars offered at the Seminar für Sprachwissenschaft ?
A: It is very important that you attend the introductory meeting at the beginning of each semester where all the seminars are presented, as well as organizational announcements. Take a look at the campus system to find the exact date for each semester.
- to be continued ...
I'm working in the project A4 in the SFB 833 as a researcher on the question of how content assessment for learner data can be performed by computers.
This question is especially interesting since language learners, in contrast to native speakers, have only acquired an intermediate state of proficiency in their L2. This results in a high degree of variability in terms of form and meaning in utterances produced by language learners. In the A4 project we explore computational approaches for dealing with this variation in order to assess the semantic content of language learner data.
Besides working on the technical aspects of the CoMiC system (e.g. porting it to uimaFit and DKPro, ...), I wrote my B.A. thesis (link) about how general linguistic properties and the explicit task context can be used to improve short answer assessment of learner language in a reading comprehension scenario there.
In addition I successfully demonstrated the ability of the system to adapt to new domains such as Question Answering, Answer Selection, and Plagiarism Detection.
This and further work in the context of this project is documented in several scientific articles.
Furhtermore I'm working as lead developer on an interactive school workbook with feedback generation (FeedBook) in SFB 833 Transfer project 1 (T1) to refine my technical abilities and gain experience in coordinating bigger software projects. In this project we explore how online scaffolding feedback can be generated in an intelligent, interactive workbook for learning English as a second language. The T1 project combines fundamental research from A4 with an authentic setting in order to advance meaning and form assessment in the cotext of feedback generation. I actively work on all aspects of the system, from frontend development to backend code.
From my work on technical implementations of systems originated a strong interest by me on approaches for collecting, representing, and processing multi-faceted linguistic data produced by language learners. I'm especially enthusiastic about statistical approaches to NLP, formal representations such as in UIMA, feedback generation, and multi-layer web application development for example with the Google Web Toolkit.
I am part of the ICALL Research Group.