Tina Klüwer

Also published as: Tina Kluewer


Sprinter: Language Technologies for Interactive and Multimedia Language Learning
Renlong Ai | Marcela Charfuelan | Walter Kasper | Tina Klüwer | Hans Uszkoreit | Feiyu Xu | Sandra Gasber | Philip Gienandt
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

Modern language learning courses are no longer exclusively based on books or face-to-face lectures. More and more lessons make use of multimedia and personalized learning methods. Many of these are based on e-learning solutions. Learning via the Internet provides 7/24 services that require sizeable human resources. Therefore we witness a growing economic pressure to employ computer-assisted methods for improving language learning in quality, efficiency and scalability. In this paper, we will address three applications of language technologies for language learning: 1) Methods and strategies for pronunciation training in second language learning, e.g., multimodal feedback via visualization of sound features, speech verification and prosody transplantation; 2) Dialogue-based language learning games; 3) Application of parsing and generation technologies to the automatic generation of paraphrases for the semi-automatic production of learning material.


Evaluation of the KomParse Conversational Non-Player Characters in a Commercial Virtual World
Tina Kluewer | Feiyu Xu | Peter Adolphs | Hans Uszkoreit
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The paper describes the evaluation of the KomParse system. KomParse is a dialogue system embedded in a 3-D massive multiplayer online game, allowing conversations between non player characters (NPCs) and game users. In a field test with game users, the system was evaluated with respect to acceptability and usability of the overall system as well as task completion, dialogue control and efficiency of three conversational tasks. Furthermore, subjective feedback has been collected for evaluating the single communication components of the system such as natural language understanding. The results are very satisfying and promising. In general, both the usability and acceptability tests show that the tested NPC is useful and well-accepted by the users. Even if the NPC does not always understand the users well and expresses things unexpected, he could still provide appropriate responses to help users to solve their problems or entertain them.


Talking NPCs in a Virtual Game World
Tina Klüwer | Peter Adolphs | Feiyu Xu | Hans Uszkoreit | Xiwen Cheng
Proceedings of the ACL 2010 System Demonstrations

Using Syntactic and Semantic based Relations for Dialogue Act Recognition
Tina Klüwer | Hans Uszkoreit | Feiyu Xu
Coling 2010: Posters

Question Answering Biographic Information and Social Network Powered by the Semantic Web
Peter Adolphs | Xiwen Cheng | Tina Klüwer | Hans Uszkoreit | Feiyu Xu
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

After several years of development, the vision of the Semantic Web is gradually becoming reality. Large data repositories have been created and offer semantic information in a machine-processable form for various domains. Semantic Web data can be published on the Web, gathered automatically, and reasoned about. All these developments open interesting perspectives for building a new class of domain-specific, broad-coverage information systems that overcome a long-standing bottleneck of AI systems, the notoriously incomplete knowledge base. We present a system that shows how the wealth of information in the Semantic Web can be interfaced with humans once again, using natural language for querying and answering rather than technical formalisms. Whereas current Question Answering systems typically select snippets from Web documents retrieved by a search engine, we utilize Semantic Web data, which allows us to provide natural-language answers that are tailored to the current dialog context. Furthermore, we show how to use natural language processing technologies to acquire new data and enrich existing data in a Semantic Web framework. Our system has acquired a rich biographic data resource by combining existing Semantic Web resources, which are discovered from semi-structured textual data in Web pages, with information extracted from free natural language texts.


Hybrid Processing for Grammar and Style Checking
Berthold Crysmann | Nuria Bertomeu | Peter Adolphs | Daniel Flickinger | Tina Klüwer
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)