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Found 24 results
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A
R. Mitkov, Evans, R., Orăsan, C., Ha, L. A., and Pekar, V., Anaphora Resolution: To What Extent Does It Help NLP Applications?, in Anaphora: Analysis, Algorithms and Applications, vol. 4410, A. Branco Berlin / Heidelberg: Springer, 2007, pp. 179-190.
J. Karlgren and Eriksson, G., Authors, Genre, and Linguistic Convention, in SIGIR Workshop on Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, Amsterdam, 2007.
B
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.
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.
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.
C
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.
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.
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.
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.
C. Stein, Etzkorn, L., and Utley, D., Computing software metrics from design documents, in 42nd annual Southeast regional conference, Huntsville, Alabama, 2004, pp. 146–151.
E
M. Morneau and Mineau, G. W., Employing a Domain Specific Ontology to Perform Semantic Search, in Conceptual Structures: Knowledge Visualization and Reasoning, vol. 5113, P. Eklund and Haemmerlé, O. Berlin / Heidelberg: Springer, 2008, pp. 242-254.
A. Pareja-Lora, Enabling automatic, technology-enhanced assessment in language e-learning, in Technology-Enhanced Language Learning for Specialized Domains: Practical Applications and Mobility, E. Martín-Monje, Elorza, I., and Riaza, B. García Routledge, 2016, pp. 102-126.
C. Orăsan, Evans, R., and Mitkov, R., Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms, in Natural Language Processing — NLP 2000, vol. 1835, D. N. Christodoulakis Berlin / Heidelberg: Springer, 2000, pp. 185-195.
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.
I
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.
L
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.
M
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.
N
R. Mitkov, Evans, R., and Orăsan, C., A New, Fully Automatic Version of Mitkov’s Knowledge-Poor Pronoun Resolution Method, in Computational Linguistics and Intelligent Text Processing, vol. 2276, A. Gelbukh Berlin / Heidelberg: Springer, 2002, pp. 168-186.
C. Orăsan and Evans, R., NP Animacy Identification for Anaphora Resolution, Journal Of Artificial Intelligence Research, vol. 29, pp. 79-103, 2007.
O
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.
S
M. Sahlgren, Karlgren, J., and Eriksson, G., SICS: Valence annotation based on seeds in word space, in Fourth International Workshop on Semantic Evaluations (SemEval-2007), Prague, Czech Republic, 2007.
T
H. Kermes and Evert, S., Text analysis meets corpus linguistics, in Corpus Linguistics 2003, 2003.
W
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, Evans, R., Orăsan, C., and Mitkov, R., What Can Readability Measures Really Tell Us About Text Complexity?, in Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Istanbul, Turkey, 2012.