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E. Dura and Drejak, M., Information Retrieval with Language Knowledge, in Advances in Cross-Language Information Retrieval, vol. 2785, C. Peters, Braschler, M., and Gonzalo, J. Berlin / Heidelberg: Springer , 2003, pp. 338-342.
E. Dura, Natural language in information retrieval, in Proceedings of the 4th international conference on Computational linguistics and intelligent text processing, Berlin, Heidelberg, 2003, pp. 537–540.
S. Dyka, Novakova, I., and Siepmann, D., A Web of Analogies: Depictive and Reaction Object Constructions in Modern English and French Fiction, in Computational and Corpus-Based Phraseology: Second International Conference, Europhras 2017, London, UK, November 13-14, 2017, Proceedings, R. Mitkov Cham: Springer International Publishing, 2017, pp. 87–101.
J. Ebeling, Linking Dictionary and Corpus, in Out of Corpora: Studies in Honour of Stig Johansson, H. Hasselggård and Oksefjell, S. Amsterdam - Atlanta, GA: Rodopi, 1999.
B. Endres-Niggemeyer, Ontology-based information extraction in agents’ hands, in 1st International and KI-08 Workshop on Ontology-based Information Extraction Systems (OBIES 2008) , Kaiserslautern, Germany, 2008.
B. Endres-Niggemeyer and Wansorra, E., Making Cognitive Summarization Agents Work In A Real-World Domain, in Natural Language Understanding and Cognitive Science. 1st Int. NLUCS Workshop, Porto, Portugal, 2004, pp. 86-96.
G. Eriksson, Franzén, K., Olsson, F., Asker, L., and Lidén, P., Exploiting Syntax when Detecting Protein Names in Text, in Workshop on Natural Language Processing in Biomedical Applications, 2002.
A. D. Evans, Lee, K., and Lyon, T. D., Complex Questions Asked by Defense Lawyers But Not Prosecutors Predicts Convictions in Child Abuse Trials, Law & Human Behavior, no. 33, pp. 258-264, 2008.
R. Evans and Orăsan, C., Improving anaphora resolution by identifying animate entities in texts, in Discourse Anaphora and Anaphor Resolution Colloquium (DAARC), Lancaster, UK, 2000.
R. Evans, A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It, in Natural Language Processing — NLP 2000, vol. 1835, D. N. Christodoulakis Berlin / Heidelberg: Springer, 2000, pp. 233-240.
Y. Even-Zohar and Roth, D., A classification approach to word prediction, in 1st North American chapter of the Association for Computational Linguistics conference, Seattle, Washington, 2000.
A. Falaise, Kraif, O., Tutin, A., and Rouquet, D., ScienQuest: a Treebank Exploitation Tool for non NLP-Specialists., in COLING, Mumbai, 2012.
A. Fantechi, Gnesi, S., Lami, G., and Maccari, A., Applications of linguistic techniques for use case analysis, Requirements Engineering, vol. 8, pp. 161-170, 2003.
A. Flycht-Eriksson, Jönsson, A., Merkel, M., and Sundblad, H., Ontology-Driven Information-Providing Dialogue Systems, in Americas' Conference on Information Systems (AMCIS), 2003.
J. Foo, Computational Terminology : Exploring Bilingual and Monolingual Term Extraction, Linköping University, Linköping, 2012.
J. Foo and Merkel, M., Using machine learning to perform automatic term recognition, in LREC 2010, Valletta, Malta, 2010.
J. Foo, Exploring termhood using language models, in NODALIDA 2011 workshop Creation, Harmonization and Application of Terminology Resources, 2011.
A. - L. Fredriksson, A corpus-based contrastive study of the passive and related constructions in English and Swedish, University of Gothenburg, Gothenburg, 2016.
E. Frick, Schnober, C., and Bański, P., Evaluating Query Languages for a Corpus Processing System, in The eighth international conference on Language Resources and Evaluation (LREC), Istanbul, Turkey, 2012.