Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

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Rosner, M., Attard, A., Thompson, P., Gatt, A. and Ananiadou, S., Extending a Tool Resource Framework with U-Compare, in: Human Language Technology Challenges for Computer Science and Linguistics, páginas 315-326, Springer, 2014

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Rosner, M., Attard, A., Thompson, P., Gatt, A. and Ananiadou, S., Extending a Tool Resource Framework with U-Compare, in: Proceedings of the 5th Language & Technology Conference (LTC'2011), 2011

Rupp, C. J., Thompson, P., Black, W.J., McNaught, J. and Ananiadou, S., A Specialised Verb Lexicon as the Basis of Fact Extraction in the Biomedical Domain, in: Proceedings of Interdisciplinary Workshop on Verbs: The Identification and Representation of Verb Features (Verb 2010), 2010

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Saha, T and Ananiadou, S., Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network, in: Proceedings of IJCNN at 2022 IEEE World Congress on Computational Intelligence, páginas 1-8, 2022

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Sahu, S. K., Christopoulou, F., Miwa, M. and Ananiadou, S., Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network, in: Proceedings of ACL 2019, páginas 4309-4316, 2019

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Sasaki, Y., McNaught, J. and Ananiadou, S., The value of an in-domain lexicon in genomics qa (2010), in: Journal of bioinformatics and computational biology, 8:1(147--161)

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Sasaki, Y., McNaught, J. and Ananiadou, S., The Value of an In-Domain Lexicon in Genomics QA, in: Proceedings of 3rd International Symposium on Languages in Biology and Medicine (LBM-2009), páginas 47--55, 2009

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Sasaki, Y., Montemagni, S., Pezik, P., Rebholz-Schuhmann, D., McNaught, J. and Ananiadou, S., BioLexicon: A Lexical Resource for the Biology Domain, in: Proceedings of the Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008), Turku, Finland, páginas 109--116, Turku Centre for Computer Science (TUCS), 2008

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Sasaki, Y., Rea, B. and Ananiadou, S., Clinical Text Classification under the Open and Closed Topic Assumptions (2009), in: International Journal on Data Mining and Bioinformatics (IJDMB), 3:3(299--313)

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Sasaki, Y., Rea, B. and Ananiadou, S., Multi-topic Aspects in Clinical Text Classification, in: BIBM '07: Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine, páginas 62--70, IEEE Computer Society, 2007

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Sasaki, Y., Thompson, P., Cotter, P., McNaught, J. and Ananiadou, S., Event Frame Extraction Based on a Gene Regulation Corpus, in: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), páginas 761--768, Coling 2008 Organizing Committee, 2008

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Sasaki, Y., Thompson, P., McNaught, J. and Ananiadou, S., Three BioNLP Tools Powered by the BioLexicon, in: Proceeedings of EACL 2009 Demonstration Session, páginas 61--64, 2009

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Sasaki, Y., Thompson, P., McNaught, J. and Ananiadou, S., Biological Event Recognition with Textual Induction, in: Proceedings of 3rd International Symposium on Languages in Biology and Medicine (LBM-2009), páginas 91--96, 2009

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Sasaki, Y., Tsuruoka, Y., McNaught, J. and Ananiadou, S., How to make the most of NE dictionaries in statistical NER (2008), in: BMC Bioinformatics, 9:Suppl 11(S5)

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Sasaki, Y., Tsuruoka, Y., McNaught, J. and Ananiadou, S., How to Make the Most of NE Dictionaries in Statistical NER, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), páginas 63--70, Association for Computational Linguistics, 2008

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Sasaki, Y., Wang, X. and Ananiadou, S., Extracting Secondary Bio-Event Arguments with Extraction Constraints (2011), in: Computational Intelligence, 27:4(702-721)

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Sato, M., Brockmeier, A. J., Kontonatsios, G., Mu, T., Goulermas, J. Y, Tsujii, J. and Ananiadou, S., Distributed Document and Phrase Co-embeddings for Descriptive Clustering, in: Proceedings of EACL, páginas 991-1001, 2017

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SÃ¦tre, R., Kemper, B., Oda, K., Okazaki, N., Matsuoka, Y., Kikuchi, N., Kitano, H., Tsuruoka, Y., Ananiadou, S. and Tsujii, J., Connecting Text Mining and Pathways using the PathText Resource, in: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008), páginas 1736-1740, European Language Resources Association (ELRA), 2008

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SÃ¦tre, R., Kemper, B., Oda, K., Okazaki, N., Matsuoka, Y., Kikuchi, N., Kitano, H., Tsuruoka, Y., Ananiadou, S. and Tsujii, J., PathText: Text Mining Tools Integrated with Biological Pathway, in: Genomes to Systems Conference 2008 Handbook, páginas 65, The Consortium for Post-Genome Science, 2008

Schoene, A and Ananiadou, S., RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification, in: Proceedings of LREC 2022, páginas 6317-6327, 2022

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Schoene, A, Basinas, I., van Tongeren, M. and Ananiadou, S., A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome (2022), in: Int. J. Environ. Res. Public Health, 19:14(8544)

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Schoene, A, Bojanic, L., Nghiem, M-. Q., Hunt, I. M. and Ananiadou, S., Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks (2022), in: IEEE Transactions on Affective Computing(1-12)

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Shardlow, M., Batista-Navarro, R., Thompson, P., Nawaz, R., McNaught, J. and Ananiadou, S., Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46)

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Shardlow, M., Ju., M., Li, M., O'Reilly, C., Iavarone, E., McNaught, J. and Ananiadou, S., A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics

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Shardlow, M., Nguyen, N. T. H., Owen, G., Turner, S., O'Donovan, C., Leach, A., McNaught, J. and Ananiadou, S., A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database, in: Proceedings of LREC 2018, páginas 280-285, 2018

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