Working Papers
Neural Estimation of Term Salience for Information Retrieval
On the Effect of Low-Frequency Terms on Neural-IR Models
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains
An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations
Conference and Journal Papers
Enriching Word Embeddings for Patent Retrieval with Global Context
Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff and Allan Hanbury
In Proc. of the European Conference on Information Retrieval (ECIR) 2019
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Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Allan Hanbury, Alexander Duer, Linda Anderson
In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL) 2017
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Word Embedding Causes Topic Shifting; Exploit Global Context!
Navid Rekabsaz, Mihai Lupu, Hamed Zamani, Allan Hanbury
In Proc. of the ACM Conference on Research and Development in Information Retrieval (SIGIR) 2017
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Exploration of a Threshold for Similarity based on Uncertainty in Word Embedding
Navid Rekabsaz, Mihai Lupu, Allan Hanbury
In Proc. of the European Conference on Information Retrieval (ECIR) 2017
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Generalizing Translation Models in the Probabilistic Relevance Framework
Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Guido Zuccon
In Proc. of the ACM International Conference on Information and Knowledge Management (CIKM) 2016
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Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation
Navid Rekabsaz, Serwah Sabetghadam, Mihai Lupu, Linda Andersson, Allan Hanbury
In Proc. of the Language Resources and Evaluation Conference (LREC) 2016
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Toward Optimized Multimodal Concept Indexing
Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury
Journal of Transactions on Computational Collective Intelligence (TCCI) 2016
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Toward Optimized Multimodal Concept Indexing
Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury
In Proc. of the 1st International KEYSTONE Conference (IKC) 2015
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Open Government data as a Service (GoDaaS): Big data Platform for Mobile App Developers
Soheil Qanbari, Navid Rekabsaz, Schahram Dustdar
In Proc. of the IEEE International Conference on Open and Big data (IEEE OBD) 2015
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A Real-World Framework for Translator as Expert Retrieval
Navid Rekabsaz, Mihai Lupu
In Proc. of the of the 5th international Conference and Labs of the Evaluation Forum (CLEF) 2014
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Peer-Reviewed Workshops
Toward Incorporation of Relevant Documents in word2vec
Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, Allan Hanbury
Neu-IR Workshop at the ACM Conference on Research and Development in Information Retrieval (NeuIR-SIGIR) 2017
arXiv paper
Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity
Navid Rekabsaz, Mihai Lupu, Allan Hanbury
Neu-IR Workshop at the ACM Conference on Research and Development in Information Retrieval (NeuIR-SIGIR) 2016
arXiv paper
On the Use of Statistical Semantics for Metadata-based Social Image Retrieval
Navid Rekabsaz, Ralf Bierig, Bogdan Ionescu, Allan Hanbury, Mihai Lupu
In Proc. of the 13th International Workshop on Content-Based Multimedia Indexing (CBMI) 2015
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TUW @ MediaEval 2015 Retrieving Diverse Social Images Task
João R. M. Palotti, Serwah Sabetghadam, Navid Rekabsaz, Mihai Lupu, Allan Hanbury
In Proc. of the MediaEval Workshop 2015
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TUW @ TREC Clinical Decision Support Track
João R. M. Palotti, Navid Rekabsaz, Linda Anderson, Allan Hanbury
In Proc. of the Twenty-Third Text REtrieval Conference (TREC) 2014
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TUW @ Retrieving Diverse Social Images Task
João R. M. Palotti, Navid Rekabsaz, Mihai Lupu, Allan Hanbury
In Proc. of the MediaEval Workshop, 2014
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CEA LIST’s Participation at the MediaEval 2014 Retrieving Diverse Social Images Task
Alexandru Lucian Gînscă, Adrian Popescu, Navid Rekabsaz
In Proc. of the MediaEval Workshop, 2014
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PhD Thesis
Word Representation for Text Analysis and Search: Document Retrieval, Sentiment Analysis, and Cross Lingual Word Sense Disambiguation
Navid Rekabsaz
DISSERTATION. Doktor der Technischen Wissenschaften
dissertation
