NLP Library

S. Štajner, Mitkov, R., and Corpas Pastor, G., “Simple or Not Simple? A Readability Question”, in Language Production, Cognition, and the Lexicon, vol. 48, N. Gala, Rapp, R., and Bel-Enguix, G. Springer International Publishing, 2015, pp. 379-398.

R. Qumsiyeh and Ng, Y. - K., “Web Search Using Summarization on Clustered Web Documents Retrieved by User Queries”, in 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Singapore, 2015.

A. Corral, Boleda, G., and Ferrer-i-Cancho, R., “Zipf’s Law for Word Frequencies: Word Forms versus Lemmas in Long Texts”, PLoS ONE, vol. 10, no. 7, p. e0129031, 2015.

P. Bański, Diewald, N., Hanl, M., Kupietz, M., and Witt, A., “Access Control by Query Rewriting: the Case of KorAP”, in LREC, Gothenburg, Sweden, 2014.

V. Hauch, Blandón-Gitlin, I., Masip, J., and Sporer, S. L., “Are Computers Effective Lie Detectors? A Meta-Analysis of Linguistic Cues to Deception”, Personality and Social Psychology Review, 2014.

D. De Ridder, “English loanwords in German media”, Ghent University, Ghent, 2014.

O. Kraif and Diwersy, S., “Exploring Combinatorial Profiles Using Lexicograms on a Parsed Corpus: A Case Study in the Lexical Field of Emotions”, in Les émotions dans le discours - Emotions in Discourse, P. Blumenthal, Novakova, I., and Siepmann, D. Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien: Peter Lang, 2014, p. 381.

R. Schneider, “GenitivDB – a Corpus-Generated Database for German Genitive Classification”, in LREC, 2014.

A. Neviarouskaya, Aono, M., Prendinger, H., and Ishizuka, M., “Intelligent Interface for Textual Attitude Analysis”, ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 3, pp. 48:1–48:20, 2014.

L. Rello, Saggion, H., and Baeza-Yates, R., “Keyword Highlighting Improves Comprehension for People with Dyslexia”, in 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR)@ EACL, Gothenburg, Sweden, 2014.

E. Hyvönen, Alonen, M., Ikkala, E., and Mäkelä, E., “Life Stories as Event-based Linked Data: Case Semantic National Biography”, in 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, 2014.

A. Kazantseva and Szpakowicz, S., “Measuring Lexical Cohesion: Beyond Word Repetition”, in COLING 2014, the 25th International Conference on Computational Linguistics, Dublin, Ireland, 2014.

S. Štajner, Mitkov, R., and Leech, G., “Natural Language Processing methodology for tracking diachronic changes in the 20th century English language”, Journal of Research Design and Statistics in Linguistics and Communication Science, vol. 1, no. 1, 2014.

I. P. Temnikova, Baumgart, Jr, W. A., Hailu, N. D., Nikolova, I., McEnery, T., Kilgarriff, A., Angelova, G., and K Cohen, B., “Sublanguage Corpus Analysis Toolkit: A tool for assessing the representativeness and sublanguage characteristics of corpora”, in LREC, 2014.

P. Mazur and Dale, R., “Temporal Expression Recognition Using Dependency Trees”, in Human Language Technology Challenges for Computer Science and Linguistics, Z. Vetulani and Mariani, J. Springer International Publishing, 2014, pp. 213-225.

S. Diwersy, “The Varitext platform and the Corpus des variétés nationales du français (CoVaNa-FR) as resources for the study of French from a pluricentric perspective”, in VarDial Workshop @ COLING 2014, Dublin, Ireland, 2014.

S. Diwersy, Evert, S., and Neumann, S., “A weakly supervised multivariate approach to the study of language variation”, in Aggregating Dialectology, Typology, and Register Analysis. Linguistic Variation in Text and Speech, B. Szmrecsanyi and Wälchli, B. Berlin / Boston: Walter de Gruyter GmbH, 2014, pp. 174–204.

S. Štajner and Saggion, H., “Adapting Text Simplication Decisions to Different Text Genres and Target Users”, Procesamiento del Lenguaje Natural, no. 51, pp. 135-142, 2013.

B. Drndarević, Štajner, S., Bott, S., Bautista, S., and Saggion, H., “Automatic Text Simplification in Spanish: A Comparative Evaluation of Complementing Modules”, in Computational Linguistics and Intelligent Text Processing, vol. 7817, A. Gelbukh Berlin / Heidelberg: Springer, 2013, pp. 488-500.

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.

S. Štajner and Evans, R., “Can Statistical Tests Be Used for Feature Selection in Diachronic Text Classification?”, in Statistical Language and Speech Processing, vol. 7978, A. - H. Dediu, Martín-Vide, C., Mitkov, R., and Truthe, B. Berlin / Heidelberg: Springer, 2013, pp. 273-283.

D. Theijssen, Bosch, Lten, Boves, L., Cranen, B., and van Halteren, H., “Choosing alternatives: Using Bayesian Networks and memory-based learning to study the dative alternation”, Corpus Linguistics and Linguistic Theory, pp. 1–36, 2013.

S. Štajner, Drndarević, B., and Saggion, H., “Corpus-based Sentence Deletion and Split Decisions for Spanish Text Simplification”, Computacíon y Sistemas, vol. 17, no. 2, pp. 251-262, 2013.

S. Hansen and Schneider, R., “Decision Tree-Based Evaluation of Genitive Classification – An Empirical Study on CMC and Text Corpora”, in Language Processing and Knowledge in the Web, vol. 8105, I. Gurevych, Biemann, C., and Zesch, T. Berlin / Heidelberg: Springer, 2013, pp. 83-88.

L. Andersson, Lupu, M., and Hanbury, A., “Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System”, in Multidisciplinary Information Retrieval, vol. 8201, M. Lupu, Kanoulas, E., and Loizides, F. Berlin / Heidelberg: Springer, 2013, pp. 70-82.