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M. Du, von Etter, P., Kopotev, M., Novikov, M., Tarbeeva, N., and Yangarber, R., Building Support Tools for Russian-Language Information Extraction, in Text, Speech and Dialogue, vol. 6836, I. Habernal and Matoušek, V. Berlin / Heidelberg: Springer, 2011, pp. 380-387.
M. Santini, Building on Syntactic Annotation: Labelling Subordinate Clauses, in Workshop on Exploring Syntactically Annotated Corpora, Birmingham, England, UK, 2005.
S. Legrand, Tyrväinen, P., and Saarikoski, H., Bridging the Word Disambiguation Gap with the Help of OWL and Semantic Web Ontologies, in Workshop on Ontologies and Information Extraction, Eurolan, 2003.
F. Olsson, Bootstrapping Named Entity Annotation by Means of Active Machine Learning, University of Gothenburg, 2008.
S. Pyysalo, Ginter, F., Heimonen, J., Björne, J., Boberg, J., Järvinen, J., and Salakoski, T., BioInfer: a corpus for information extraction in the biomedical domain, BMC Bioinformatics, vol. 8, p. 50, 2007.
R. Muñoz, Mitkov, R., Palomar, M., Peral, J., Evans, R., Moreno, L., Orăsan, C., Saiz-Noeda, M., Ferrández, A., Barbu, C., Martínez-Barco, P., and Suárez, A., Bilingual alignment of anaphoric expressions, in The Third International Conference on Language Resources and Evaluation (LREC), Las Palmas, Canary Islands, Spain, 2002.
J. W. Schneider and Borlund, P., A Bibliometric-Based Semi-automatic Approach to Identification of Candidate Thesaurus Terms: Parsing and Filtering of Noun Phrases from Citation Contexts, in Context: Nature, Impact, and Role, vol. 3507, F. Crestani and Ruthven, I. Berlin / Heidelberg: Springer, 2005, pp. 105-112.
A. Ziem, Beyond the sentence: Towards a cognitive-linguistic approach to textual reference, Yearbook of the German Cognitive Linguistics Association, vol. 1, no. 1, pp. 39–58, 2013.
J. Karlgren, Eriksson, G., Sahlgren, M., and Täckström, O., Between Bags and Trees – Constructional Patterns in Text Used for Attitude Identification, in Advances in Information Retrieval, vol. 5993, C. Gurrin, He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., and van Rijsbergen, K. Berlin / Heidelberg: Springer, 2010, pp. 38-49.
A. Clegg and Shepherd, A., Benchmarking natural-language parsers for biological applications using dependency graphs, BMC Bioinformatics, vol. 8, p. 24, 2007.
B. C. M. Xian, Zahari, F., and Lukose, D., Benchmarking ARS: anaphora resolution system, in 11th International Conference on Knowledge Management and Knowledge Technologies, Graz, Austria, 2011.
J. Cassell, Vilhjálmsson, H. H., and Bickmore, T., BEAT: the Behavior Expression Animation Toolkit, in 28th annual conference on Computer graphics and interactive techniques, New York, NY, USA, 2001, pp. 477–486.
T. Järvinen, Bank of English and Beyond, in Treebanks, vol. 20, A. Abeillé Dordrecht: Kluwer Academic Publishers, 2003, pp. 43-59.
L. Ahrenberg and Holmqvist, M., Back to the future? the case for english-swedish direct machine translation, in Recent Advances in Scandinavian Machine Translation, Uppsala, 2005.
L. Ahrenberg and Holmqvist, M., Back to the Future: The Case for Direct English-Swedish MT, in RASMAT workshop, Uppsala, 2004.