NLP Library

Tsetserukou D, Neviarouskaya A.  2010.  World's first wearable humanoid robot that augments our emotions. 1st Augmented Human International Conference. :8:1–8:10.

Nivre J.  2002.   What kinds of trees grow in Swedish soil? A comparison of four annotation schemes for Swedish First Workshop on Treebanks and Linguistic Theories (TLT2002).

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

Dyka S, Novakova I, Siepmann D.  2017.  A Web of Analogies: Depictive and Reaction Object Constructions in Modern English and French Fiction. Computational and Corpus-Based Phraseology: Second International Conference, Europhras 2017, London, UK, November 13-14, 2017, Proceedings. :87–101.

Diwersy S, Evert S, Neumann S.  2014.  A weakly supervised multivariate approach to the study of language variation. Aggregating Dialectology, Typology, and Register Analysis. Linguistic Variation in Text and Speech. :174–204.

Chiarcos C, Hellmann S, Nordhoff S.  2011.  Towards a Linguistic Linked Open Data cloud: The Open Linguistics Working Group. Traitement Automatique des Langues. 52(3):245-275.

Neviarouskaya A, Prendinger H, Ishizuka M.  2007.  Textual Affect Sensing for Sociable and Expressive Online Communication. Affective Computing and Intelligent Interaction. 4738:218-229.

Merkel M, Foo J.  2007.  Terminology extraction and term ranking for standardizing term banks. 16th Nordic Conference of Computational Linguistics Nodalida. :349-354.

Temnikova IP, Baumgart, Jr WA, Hailu ND, Nikolova I, McEnery T, Kilgarriff A, Angelova G, K Cohen B.  2014.  Sublanguage Corpus Analysis Toolkit: A tool for assessing the representativeness and sublanguage characteristics of corpora. LREC.

Neviarouskaya A, Prendinger H, Ishizuka M.  2009.  Semantically distinct verb classes involved in sentiment analysis. IADIS International Conference APPLIED COMPUTING 2009.

Qumsiyeh R, Ng Y-K D.  2016.  Searching Web Documents Using a Summarization Approach. International Journal of Web Information Systems. 12

Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle. Modeling Machine Emotions for Realizing Intelligence. 1:179-207.

Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle. Modeling Machine Emotions for Realizing Intelligence. 1:179-207.

Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  Recognition of Affect, Judgment, and Appreciation in Text. 23rd International Conference on Computational Linguistics (COLING'10). :806-814.

Neviarouskaya A, Prendinger H, Ishizuka M.  2007.  Recognition of Affect Conveyed by Text Messaging in Online Communication. Online Communities and Social Computing. 4564:141-150.

Endres-Niggemeyer B.  2008.  Ontology-based information extraction in agents’ hands. 1st International and KI-08 Workshop on Ontology-based Information Extraction Systems (OBIES 2008) .

Kettunen K, Mäkelä E, Ruokolainen T, Niemi J.  2016.  Modern Tools for Old Content - in Search of Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910. LWDA 2016.

Khoo C, Chan S, Niu Y, Ang A.  1999.  A method for extracting causal knowledge from textual databases. Singapore journal of library & information management. 28:48–63.

Holmqvist M.  2007.  Memory-Based Learning of Word Translation. 16th Nordic Conference of Computational Linguistics Nodalida. :231-234.

Mohd Noor N K, Noah S A, Ab Aziz M J, Hamzah M P.  2012.  Malay Anaphor and Antecedent Candidate Identification: A Proposed Solution. Intelligent Information and Database Systems. 7198:141-151.

Mohd Noor N K, Noah S A, Ab Aziz M J, Hamzah M P.  2012.  Malay Anaphor and Antecedent Candidate Identification: A Proposed Solution. Intelligent Information and Database Systems. 7198:141-151.

Hansen-Schirra S, Neumann S.  2004.  Linguistische Verständlichmachung in der juristischen Realität. Die Sprache des Rechts: Recht verstehen: Verstandlichkeit, Missverstandlichkeit und Unverstandlichkeit von Recht. 1:167-184.

Ahrenberg L.  2007.  LinES: An English-Swedish Parallel Treebank. 16th Nordic Conference of Computational Linguistics Nodalida. :270-273.

Copeck T, Inkpen D, Kazantseva A, Kennedy A, Kipp D, Nastase V, Szpakowicz S.  2006.  Leveraging DUC. Document Understanding Conference (DUC).

Lee J, Neviarouskaya A, Prendinger H, Marsella S.  2009.  Learning Models of Speaker Head Nods with Affective Information. 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009). :1-6.