Recent Publications


  • Sen, S., Hasanuzzaman, M., Ekbal, A., Bhattacharyya, P. and Way, A. Neural Machine Translation of Low-resource Languages using SMT Phrase Pair Injection. Natural Language Engineering. (NLE)[pdf] (IF=1.065)(2020)
  • Haque, R., Hasanuzzaman, M., and Way, A. Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English. Machine Translation Journal. [pdf] (IF=0.85)(2020)
  • Jangra, A., Jatowt, A., Hasanuzzaman, M., and Saha, S. Text-Image-Video Summary Genera- tion using Joint Integer Linear Programming. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon, Portugal. (CORE Rank A)[pdf] (2020)
  • Qureshi, A., Dias, G., Hasanuzzaman, M., and Saha, S. Improving Depression Level Estimation by Concurrently Learning Emotion Intensity. IEEE Computational Intelligence Magazine. (IEEE CIM)[pdf] (IF=5.857)(2020)
  • Mitra, S., Hasanuzzaman, M., and Saha, S. A Unified Multi-view Clustering Algorithm using Multi-objective Optimization Coupled with Generative Model. ACM Transactions on Knowledge Discovery from Data. (ACM TKDD)[pdf] (IF=2.538)(2019)
  • Haque, R., Hasanuzzaman, M., and Way, A. Terminology Translation in Low-Resource Scenarios. (Information, vol.10(9), pages 273)[pdf] (2019)
  • Haque, R., Hasanuzzaman, M., and Way, A. Ruslan Mitkov, Johanna Monti, Gloria Corpas Pastor, and Violeta Seretan (eds): Multiword Units in Machine Translation and Translation Technology. (Machine Translation) [pdf] (IF=0.85) (2019)
  • Qureshi, A., Dias, G., Hasanuzzaman, M., Saha, S. Multitask Representation Learning for Multimodal Estimation of Depression Level. (IEEE Intelligent Systems) [pdf] (IF=4.46) (2019)
  • Qureshi, A., Hasanuzzaman, M., Saha, S., Dias, G. The Verbal and Non Verbal Signals of Depression -- Combining Acoustics, Text and Visuals for Estimating Depression Level. (arXiv:1904.0765) [pdf] (2019)
  • Jeyaram, H., Hasanuzzaman, M., Calixto, I., and Way, A. Multimodal Image News Article Alignment. In Proceedings of 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7-13, La Rochelle, France. [pdf] (CORE Rank B)
  • Haque, R., Ramadurai, A., Hasanuzzaman, M. and Way, A. Mining Purchase Intent in Twitter. In Proceedings of 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7-13, La Rochelle, France. [pdf] (CORE Rank B)
  • Sen, S., Hasanuzzaman, M., Ekbal, A., Bhattacharyya, P. and Way, A. Take Help from Elder Brother: Old to Modern English NMT with Phrase Pair Feedback.In Proceedings of 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7-13, La Rochelle, France. [pdf] (CORE Rank B)
  • Haque, R., Hasanuzzaman, M. and Way, A. TermEval: An automatic metric for Evaluating Terminology Translation in MT. In Proceedings of 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7-13, La Rochelle, France. [pdf] (CORE Rank B)
  • Kamila, S., Hasanuzzaman, M., Ekbal, A., and Bhattacharyya, P. Resolution of Grammatical Tense into Actual Time, and its Application in Time Perspective Study in the Tweet Space. PLOS ONE, Vol. 14(2), Pg. e0211872, https://doi.org/10.1371/journal.pone.0211872 (IF=2.76)
  • Kamila, S., Hasanuzzaman, M., Ekbal, A., and Bhattacharyya, P. Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 18, 2, Article 19 (December 2018), 22 pages. DOI:https://doi.org/10.1145/3277504 (IF=0.788)
  • Mitra, S., Hasanuzzaman, M., and Saha, S. Incorporating Deep Visual Features into Multi-objective based Multi-view Search Result Clustering. In Proceedings of 27th International Conference on Computational Linguistics (COLING 2018), August 20-26, 2018, Santa Fe, New Mexico, USA. [pdf] (CORE Rank A)
  • Dutta Chowdhury, K., Hasanuzzaman, M., and Liu, Q. Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data. In Proceedings of the ACL 2018 Workshop on deep learning approaches for low resource natural language processing (DeepLo 2018), Melbourne, Australia. [pdf]
  • Kamila, S., Hasanuzzaman, M., Ekbal, A., Bhattacharyya, P. and Way, A. Fine-grained Temporal Orientation and its Relationship with Psycho-demographic Correlates. In Proceedings of 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), June 1-6, 2018, New Orleans, USA. [pdf] (CORE Rank A)
  • Hasanuzzaman, M. and Way, A. Local Event Discovery from Tweets Metadata. In Proceedings of 9th ACM International Conference on Knowledge Capture (K-CAP 2017), December 4-6, 2017, Austin, Texas, United States. [pdf] (CORE Rank A)
  • Hasanuzzaman, M., Dias, G., and Way, A. Demographic Word Embeddings for Racism Detection on Twitter. In Proceedings of 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), November 27 – December 1, 2017, Taipei, Taiwan. [pdf] (CORE Rank B)
  • Hasanuzzaman, M., Dias, G., Jatowt, A., Marten, D., Antal, B. Overview of the 4th HistoInformatics Workshop. In Proceedings of 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), November 6–10, 2017, Singapore, Singapore. (CORE Rank A)
  • Kamila, S., Sen, S., Hasanuzzaman, M., Ekbal, A., Bhattacharyya, P. and Way, A. Temporality as Seen through Translation: A Case Study on Hindi Texts. In Proceedings of 16th Machine Translation Summit (MT Summit XVI), September 18-22, 2017, Nagoya, Japan. (CORE Rank B)
  • Hasanuzzaman, M., Kamila, S., Saha, S., Kaur, M., and Ekbal, A. Temporal Orientation of Tweets for Predicting Income of User. In Proceedings of 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pages 659–-665, Vancouver, Canada, July 30 - August 4, 2017. [pdf] (CORE Rank A*)
  • Hasanuzzaman, M.and Way, A. Place-Type Detection in Location-Based Social Networks. In Proceedings of 28th ACM Conference on Hypertext and Social Media (HT 2017), pages 75--83, July 4-7, 2017, Prague, Czech Republic. [pdf] (CORE Rank A)
  • Hasanuzzaman, M., Dias, G., Ferrari, S., Mathet, Y, and Way, A. Identifying Temporal Orientation of Word Senses Based on Minimum Cuts. In Proceedings of 20th Conference on Computational Natural Language Learning (CoNLL 2016), August 11-12, 2016, Berlin, Germany. [pdf] (CORE Rank A)
  • Hasanuzzaman, M., Sze, W., Salim, M., and Dias, G. Collective Future Orientation and Stock Markets. In Proceedings of 22nd European Conference on Artificial Intelligence (ECAI 2016), 29 August - 02 September, 2016, The Hague, Holland. [pdf] (CORE Rank A)
  • Hasanuzzaman, M.,Dias, G., and Ferrari, S. Transductive Learning for the Identification of Word Sense Temporal Orientation. In Proceedings of 22nd European Conference on Artificial Intelligence (ECAI 2016), 29 August - 02 September, 2016, The Hague, Holland. [pdf] (CORE Rank A)
  • Hasanuzzaman, M., Dias, G., Ferrari, S., and Mathet, Y. Iterative TempoWordNet. In Proceedings of 13th Extended Semantic Web Conference (ESWC 2016), 29 May-2 June 2016, Heraklion, Crete, Greece. [pdf] (CORE Rank A)
  • Dipawesh, P., Hasanuzzaman, M., and Ekbal, A. Building Tempo-IndoWordNet: A resource for effective temporal information access in Hindi. In Proceedings of 10th edition of the Language Resources and Evaluation Conference (LREC 2016), 23-28 May 2016, Portorož, Slovenia. [pdf] (CORE Rank C)
  • Hasanuzzaman, M., Saha, S., Dias, G. and Ferrari, S. Understanding Temporal Query Intent. In Proceedings of 38th Annual ACM SIGIR Conference (SIGIR 2015), August 9-13, Santiago de Chile, Chile. [pdf] (CORE Rank A*)
  • Hasanuzzaman, M., Dias, G., Ferrari, S., and Mathet, Y. Propagation Strategies for Building Temporal Ontologies. In Proceedings of 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2 (EACL 2014), Pages 6--11, Gothenburg, Sweden. [pdf] (CORE Rank A)
  • Dias, G., Hasanuzzaman, M., Ferrari, S., and Mathet, Y. TempoWordNet for Sentence Time Tagging. In proceedings of Companion Publication of the 23rd International Conference on World Wide Web Companion (WWW Companion '14), Pages 833--838, Seoul, South Korea. [pdf] (CORE Rank A)