Publications
Zlabinger, M., Hofstätter, S., Rekabsaz, N., Hanbury, A. (2020) DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations, Springer Nature Switzerland AG 2021, Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II.
Hofstätter, S., Rekabsaz, N., Eickhoff, C., Hanbury, A. (2019) On the Effect of Low-Frequency Terms on Neural-IR Models, Association for Computing Machinery, SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.
Hofstätter, S., Rekabsaz, N., Lupu, M., Eickhoff, C. (2019) Enriching Word Embeddings for Patent Retrieval with Global Context, Springer, Cham, Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I.
Zlabinger, M., Rekabsaz, N., Zlabinger, S., Hanbury, A. (2019) Efficient Answer-Annotation for Frequent Questions, Springer, Experimental IR Meets Multilinguality, Multimodality, and Interaction.10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9-12, 2019. Proceedings..
Rekabsaz, N., Lupu, M., Baklanov, A., Duer, A. (2017) Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Annual Meeting of the Association for Computational Linguistics.
Rekabsaz, N., Lupu, M., Hanbury, A., Zamani, H. (2017) Word Embedding Causes Topic Shifting; Exploit Global Context!, ACM, 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 
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Rekabsaz, N., Lupu, M., Hanbury, A., Zuccon, G. (2017) Exploration of a Threshold for Similarity based on Uncertainty in Word Embedding, Springer, Cham, Advances in Information Retrieval.
Rekabsaz, N., Bierig, R., Lupu, M., Hanbury, A. (2017) Toward Optimized Multimodal Concept Indexing, Journal of Transactions on Computational Collective Intelligence (TCCI), 10190-XXVI.
Andersson, L., Rekabsaz, N., Hanbury, A. (2017) Automatic query expansion for patent passage retrieval using paradigmatic and syntagmatic information, The first WiNLP Workshop co-located with with the Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver.
Rekabsaz, N., Lupu, M., Hanbury, A., Bhaskar, M. (2016) Toward Incorporation of Relevant Documents in word2vec, Neu-IR Workshop at the ACM Conference on Research and Development in Information Retrieval.
Rekabsaz, N., Lupu, M., Hanbury, A., Zuccon, G. (2016) Generalizing Translation Models in the Probabilistic Relevance Framework, ACM, CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management.
Rekabsaz, N., Sabetghadam, S., Andersson, L., Lupu, M. (2016) Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation, European Language Resources Association (ELRA), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
Rekabsaz, N., Lupu, M., Hanbury, A. (2016) Uncertainty in Neural Network Word Embedding Exploration of Threshold for Similarity, Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval, Pisa, .
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Rekabsaz, N., Bierig, R., Ionescu, B., Hanbury, A. (2015) On the use of statistical semantics for metadata-based social image retrieval, IEEE, On the use of statistical semantics for metadata-based social image retrieval, .
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Rekabsaz, N., Bierig, R., Lupu, M., Hanbury, A. (2015) Toward Optimized Multimodal Concept Indexing, Springer, Semantic Keyword-based Search on Structured Data Sources.
Rekabsaz, N. (2015) On Using Statistical Semantic on Domain Specific Information Retrieval, , Master thesis at Institute of Software Technology & Interactive Systems, .
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Palotti, J., Rekabsaz, N., Lupu, M., Hanbury, A. (2014) TUW @ Retrieving Diverse Social Images Task 2014, CEUR-WS, Working Notes Proceedings of the MediaEval 2014 Workshop, .
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