Non peer-reviewed

Interview in the New Scientist NL: Will computers ever be able to understand language? (in Dutch).

Peer-reviewed

2017
  1. Kenter, T.; Borisov, A.; Gysel, C. V.; Dehghani, M.; Rijke, M. de and Mitra, B. Neural Networks for Information Retrieval. In arXiv preprint arXiv:1707.04242, 2017.
  2. Kenter, T. and Rijke, M. de Attentive Memory Networks: Efficient Machine Reading for Conversational Search. In Proceedings of the 1st International Workshop on Conversational Approaches to Information Retrieval (CAIR'17) at the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017.
  3. Azarbonyad, H.; Dehghani, M.; Kenter, T.; Marx, M.; Kamps, J. and Rijke, M. de Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. In Proceedings of 39th European Conference on Information Retrieval (ECIR 2017), 2017.
2016
  1. Kenter, T.; Borisov, A. and de Rijke, M. Siamese CBOW: Optimizing Word Embeddings for Sentence Representations. In Proceedings of the The 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pages 941-951, 2016.
  2. Martinez-Ortiz, C.; Kenter, T.; Wevers, M.; Huijnen, P.; Verheul, J. and van Eijnatten, J. Design and implementation of ShiCo: Visualising shifting concepts over time. In Proceedings of the 3rd International Workshop on Computational History (HistoInformatics 2016), 2016.
  3. Martinez-Ortiz, C.; Kenter, T.; Wevers, M.; Huijnen, P.; Verheul, J. and van Eijnatten, J. ShiCo: A Visualization Tool for Shifting Concepts Through Time. In Proceedings of the 3rd DH Benelux Conference (DH Benelux 2016), 2016.
2015
  1. Kenter, T. and de Rijke, M. Short Text Similarity with Word Embeddings. In Proceedings of the 24th ACM international Conference on Information and Knowledge Management (CIKM'15), 2015.
  2. Kenter, T.; Wevers, M.; Huijnen, P. and de Rijke, M. Ad Hoc Monitoring of Vocabulary Shifts over Time. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM'15), 2015.
  3. Kenter, T.; Balog, K. and de Rijke, M. Evaluating document filtering systems over time. In Information Processing & Management, 51 (6): 791-808, 2015.
  4. Kenter, T. and de Rijke, M. Short Text Similarity with Word Embeddings (abstract). In Proceedings of the 14th Dutch-Belgian Information Retrieval Workshop (DIR2015), 2015.
  5. Wevers, M.; Kenter, T. and Huijnen, P. Concepts Through Time: Tracing Concepts in Dutch Newspaper Discourse (1890-1990) using Word Embeddings. In Digital Humanities 2015 (DH2015), 2015.
2014
  1. de Rijke, M.; Kenter, T.; Vries, A. P; Zhai, C.; de Jong, F.; Radinsky, K. and Hofmann, K. Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014, Proceedings. Springer, 2014.
2013
  1. Kenter, T. Filtering Documents over Time for Evolving Topics - The University of Amsterdam at TREC 2013 KBA CCR. In Proceedings of the Twenty-Second Text REtrieval Conference (TREC 2013), 2013.
  2. Odijk, D.; Meij, E.; Graus, D. and Kenter, T. Multilingual Semantic Linking for Video Streams: Making "Ideas Worth Sharing" More Accessible. In The 2nd International Workshop on Web of Linked Entities at WWW2013 (WoLE2013), 2013.
  3. de Rooij, O.; Kenter, T. and de Rijke, M. xTAS and ThemeStreams. In Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval, 2013.
  4. Kenter, T.; Graus, D.; Meij, E. and de Rijke, M. Time-Aware Chi-squared for Document Filtering over Time. In SIGIR 2013 Workshop on Time-aware Information Access (TAIA 2013), 2013.
2012
  1. Graus, D.; Kenter, T.; Bron, M.; Meij, E. and de Rijke, M. Context-Based Entity Linking--University of Amsterdam at TAC 2012. In TAC 2012, 2012.
  2. Kenter, T.; Erjavec, T.; Fišer, D. and Žorga Dulmin, M. Lexicon construction and corpus annotation of historical language with the CoBaLT editor. In Proceedings of the 6th workshop on language technology for cultural heritage, social sciences, and humanities, pages 1-6, 2012.
2005
  1. Kenter, T. and Maynard, D. Using GATE as an annotation tool. In University of Sheffield, Natural language processing group, 2005.