Simone Teufel

Profile
2001- University Teaching Officer at Cambridge University
            Computer Laboratory(Lecturer (2001), Reader (2010);
            Professor in Language and Information (2017)).
2017–   Specially Appointed Professor at Tokyo Institute of
            Technology
2000–2001  Postdoctoral Fellow, Computer Science
                  Department, Columbia University 
2000-    PhD in Cognitive Science, Edinburgh University
1994-    Diplom-Informatikerin, Stuttgart University
1993–1995  Researcher, Institut für maschinelle
                  Sprachverarbeitung (IMS-CL), University Stuttgart

Field of Specialization
Computational Linguistics, in particular discourse linguistics, text comprehension and summarization

School of Computing, Tokyo Tech
Cambridge University (U.K.)

 https://www.cl.cam.ac.uk/~sht25/
Simone.Teufel@cl.cam.ac.uk
teufel.s.aa@m.titech.ac.jp

Research Hub Group:Information and Artificial Intelligence Research International Hub Group

Research Highlights

  • Discourse analysis
  • Text summarization
  • Text comprehension

Selected Awards

  • 2017: Special Session Best Paper Award, The 9th International Conference on
               Knowledge and Systems Engineering (KSE 2017).

Selected Publications

  • K. Heffernan, S. Teufel, 2018. Identifying Problems and Solutions in Scientific Text. Scientometrics p.1-16
  • Y. Stathopolous, S. Baker, M. Rei, S. Teufel, 2018. Variable Typing: Assigning meaning to variables in mathematical text. In: Proceedings of the 16th NAACL, New Orleans.
  • O.Razuvayevskaya, S.Teufel, 2017. Finding enthymemes in real-world texts: a feasibility study. Argument and Computation, 8(2):113-129.
  • K. Heffernan, P. Lio, S.Teufel, 2017. Multilayer Data and Document Stratification for Comorbidity Analysis. Springer Lecture notes, Proceedings of 13th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics.
  • H.Yamada, S. Teufel, T. Tokunaga. Designing an annotation scheme for summarizing Japanese judgment documents. In: Proceedings of The 9th International Conference on Knowledge and Systems Engineering (KSE 2017).
  • O. Razukayevskaya, S. Teufel. Finding enthymemes in real-world texts: A feasibility study. In: Argument & Computation
  • K. Heffernan, S. Teufel. Identifying Problems and Solutions in Scientific Text. In: Proceedings of SIGIR Workshop ”BIRNDL17: Bibliometric-enhanced IR and NLP for Digital Libraries”, Tokyo, Japan.
  • K. McKeown, H. Daume III, S. Chaturvedi, J. Paparrizos, K. Thadani, P. Barrio, O. Biran, S. Bothe, M. Collins, K. Fleischmann, L. Gravano, R. Jha, B. King, K. McInerney, T. Moon, A. Neelakantan, D. O’Seaghdha, D. Radev, C. Templeton, S. Teufel. Predicting the Impact of Scientific Concepts using Full-text Features. Journal of the Association for Information Science and Technology (JASIST), 67(11), Nov. 2016.
  • D. Kaplan, T. Tokunaga, S. Teufel. Citation Block Determination using Textual Coherence. Journal of Information Processing 24(3). p. 540-553.
  • D. Kaplan, N. Rubens, S. Teufel, T. Tokunaga. Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction. In: Proceedings of LREC-16, Portoroz, Slovenia. p. 4402-4409.
  • Y. Fang, H. Zhu, E. Muszynska, A. Kuhnle, S. Teufel. A Proposition-Based Abstractive Summariser. In: Proceedings of COLING-16, Osaka, Japan.
  • Y. Stathopolous, S. Teufel. Mathematical Information Retrieval based on Type Embeddings and Query Expansion. In: Proceedings of COLING-16, to appear Dec. 2016. Osaka, Japan.
  • S. Bauer, S. Teufel. Unsupervised Timeline Generation for Wikipedia History Articles. In: Proceedings of EMNLP-16. Austin, Texas.