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Papers
2023  SocialDial: A Benchmark for Socially-Aware Dialogue SystemsHaolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad and Gholamreza Haffari International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionLinhao Luo, Gholamreza Haffari, Yuan Fang Li and Shirui Pan International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal DiscoveryTao Feng, Lizhen Qu, Gholamreza Haffari In Transactions of ACL (TACL), 2023. ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised LearningIslam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Voicify Your UI: Towards Android App Control with Voice CommandsMinh Duc Vu, Han Wang, Zhuang Li, Gholamreza Haffari, Zhenchang Xing, Chunyang Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023. Document Flattening: Beyond Concatenating Context for Document-level Neural Machine TranslationMinghao Wu, George Foster, Lizhen Qu and Gholamreza Haffari The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on CodexTerry Yue Zhuo, Zhuang Li, Yujin Huang, Yuan-Fang Li, Weiqing Wang and Gholamreza Haffari The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. Active Learning for Multilingual Semantic ParserZhuang Li and Gholamreza Haffari The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. Generating Synthetic Speech from SpokenVocab for Speech TranslationJinming Zhao, Gholamreza Haffari and Ehsan Shareghi The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. Learning Object-Language Alignments for Open-Vocabulary Object DetectionChuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai International Conference on Learning Representations (ICLR), 2023. An Additive Instance-Wise Approach to Multi-class Model InterpretationVy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung International Conference on Learning Representations (ICLR), 2023. Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse GraphsLinhao Luo, Gholamreza Haffari, Shirui Pan In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2023. LAVA: Label-efficient Visual Learning and AdaptationIslam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari IEEE Winter Conference on Applications of Computer Vision (WACV), 2023. 2022 Towards relation extraction from speech Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari To appear the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan and Gholamreza Haffari To appear in the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. RedApt: An Adaptor for wav2vec 2 Encoding: Faster and Smaller Speech Translation without Quality Compromise Jinming Zhao, Hao Yang, Gholamreza Haffari and Ehsan Shareghi To appear in the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing Hao Yang, Jinming Zhao, Gholamreza Haffari and Ehsan Shareghi To appear in the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi In Transactions of ACL (TACL), 2022. Multimodal transformer with variable-length memory for vision-and-language navigation Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan In Proceedings of the European Conference on Computer Vision (ECCV), 2022. BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Reza Haffari, Bin Yang In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Inductive Biases for Low Data VQA: A Data Augmentation Approach Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray Buntine, Gholamreza Haffari In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022. Active Learning by Feature Mixing Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Gholamreza Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training Thuy Vu, Shahram Khadivi, Dinh Phung, Gholamreza Haffari In Findings of the Association for Computational Linguistics (Findings-ACL) , 2022. M-adapter: Modality adaptation for end-to-end speech-to-text translation Jinming Zhao, Hao Yang, Ehsan Shareghi, Gholamreza Haffari In Proceedings of Interspeech, 2022. Paraphrasing Techniques for Maritime QA system Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen In Proceedings of the 25th International Conference on Information Fusion (FUSION), 2022. Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022. Teaching Neural Module Networks to Do Arithmetic Jiayi Chen, Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022. Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari In Proceedings of the Seventh Conference on Machine Translation (WMT), 2022. KC-GEE: Knowledge-based Conditioning for Generative Event Extraction Tongtong Wu, Fatemeh Shiri, Jingqi Kang, Guilin Qi, Gholamreza Haffari, Yuan-Fang Li In submission, 2022. Complex Reading Comprehension Through Question Decomposition Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari The Annual Workshop of the Australasian Language Technology Association (ALTA), 2022. 2021 Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection Thuy-Trang Vu, Xuanli He, Dinh Phung, Gholamreza Haffari To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers Zhuang Li, Lizhen Qu, Gholamreza Haffari To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Lifelong Explainer for Lifelong Learners Xuelin Situ, Sameen Maruf, Ingrid Zukerman, Cecile Paris, Gholamreza Haffari To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn and Ehsan Shareghi To appear in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari To appear in the Findings of The 2021 Conference on Empirical Methods in Natural Language Processing (Findings-EMNLP), 2021. Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? Fahimeh Saleh, Wray Buntine, Gholamreza Haffari, Lan Du To appear in the Findings of The 2021 Conference on Empirical Methods in Natural Language Processing (Findings-EMNLP), 2021. iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Gholamreza Haffari Thirty-eighth International Conference on Machine Learning (ICML), 2021. All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training Islam Nassar, Samitha Herath, Ehsan Abbasnejad, , Wray Buntine, Gholamreza Haffari IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2021. Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations Sameen Maruf, Ingrid Zukerman, Ehud Reiter, Gholamreza Haffari The 14th International Conference on Natural Language Generation (INLG), 2021. Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, Gholamreza Haffari The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021. Learning to Explain: Generating Stable Explanations Fast Xuelin Situ, Ingrid Zukerman, Cecile Paris, Sameen Maruf, Gholamreza Haffari Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. Neural-Symbolic Commonsense Reasoner with Relation Predictors Farhad Moghimifar, Lizhen Qu, Terry Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)-Findings, 2021. Multilingual Simultaneous Neural Machine Translation Philip Arthur, Dongwon Ryu, Gholamreza Haffari Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)-Findings, 2021. Curriculum-Meta Learning for Order-Robust Continual Relation Extraction Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. Few-Shot Semantic Parsing for New Predicates Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari In The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021. Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning Philip Arthur, Trevor Cohn, Gholamreza Haffari In The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021. Cognition-aware Cognate Detection Diptesh Kanojia, Prashant Sharma, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni In The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021. Honorable Mention for Best Long Pape Award A Survey on Document-level Machine Translation: Methods and Evaluation Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari Accepted in ACM Computing Surveys. 2020 Domain Adaptative Causality Encoder Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh The 18th Annual Workshop of the Australasian Language Technology Association (ALTA), 2020. Best Paper Award Leveraging Discourse Rewards for Document-Level Neural Machine Translation Inigo Jauregi Unanue, Nazanin Esmaili, Gholamreza Haffari, Massimo Piccardi International Conference on Computational Linguistics (COLING), 2020. Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni International Conference on Computational Linguistics (COLING), 2020. Context Dependent Semantic Parsing: A Survey Zhuang Li, Lizhen Qu, Gholamreza Haffari International Conference on Computational Linguistics (COLING), 2020. Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation Fahimeh Saleh, Wray Buntine, Gholamreza Haffari International Conference on Computational Linguistics (COLING), 2020. Understanding Unnatural Questions Improves Reasoning over Text Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari International Conference on Computational Linguistics (COLING), 2020. CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari International Conference on Computational Linguistics (COLING), 2020. Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari Accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Personal Information Leakage Detection in Conversations Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari Accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Few-shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Tongtong Wu Accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Scene Graph Modification Based on Natural Language Commands Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam Accepted to the Findings of the Empirical Methods in Natural Language Processing (Findings-EMNLP), 2020. Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation Xuanli He, Gholamreza Haffari, Mohammad Norouzi Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020. Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns KayYen Wong, Sameen Maruf, Gholamreza Haffari Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020. CAPTION ALIGNMENT FOR LOW RESOURCE AUDIO-VISUAL DATA Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Jayaprakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari, Pankaj Singh To Appear in Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2020. Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning Yuncheng Hua1, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2020. Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2020. SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari To Appear in SIGIR, 2020. Decoding As Dynamic Programming For Recurrent Autoregressive Models Najam Zaidi, Trevor Cohn, Gholamreza Haffari In the International Conference on Learning Representations (ICLR), 2020. Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari In the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. Challenge Dataset of Cognates and False Friend Pairs from Indian Languages [dataset] Diptesh Kanojia, Malhar Kulkarni, Pushpak Bhattacharyya, Gholamreza Haffari To Appear in LREC, 2020. Learning to Multi-Task Learn for Better Neural Machine Translation Poorya Zaremoodi, Gholamreza Haffari In arXiv:2001.03294. Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data Mohammad Shamsur Rahman, Ann Nicholson, Gholamreza Haffari SN Computer Science (Springer Journal), 2020. A statistically efficient and scalable method for exploratory analysis of high-dimensional data Mohammad Shamsur Rahman, Gholamreza Haffari SN Computer Science (Springer Journal), 2020. 2019 Question Generation from Paragraphs: A Tale of Two Hierarchical Models Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari ArXiv preprint, 2019. A Pointer Network Architecture for Context-Dependent Semantic Parsing Xuanli He, Quan Tran, Gholamreza Haffari Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2019. Neural Versus Non-Neural Text Simplification: A Case Study Islam Nassar, Michelle Ananda-Rajah, Gholamreza Haffari Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2019. Monash University’s Submissions to the WNGT 2019 Document Translation Task Sameen Maruf, Gholamreza Haffari Proceedings of the 3rd Workshop on Neural Generation and Translation (co-located with EMNLP), 2019. Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation Poorya ZareMoodi, Gholamreza Haffari Proceedings of the 3rd Workshop on Neural Generation and Translation (co-located with EMNLP), 2019. Neural Speech Translation using Lattice Transformations and Graph Networks Dniel Beck, Trevor Cohn, Gholamreza Haffari Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (co-located with EMNLP), 2019. Learning How to Actively Learn by Dreaming Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019. Selective Attention for Context-aware Neural Machine Translation Sameen Maruf, Andre Martines, Gholamreza Haffari Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2019. A comparative study of data-dependent approaches without learning in measuring similarities of data objects Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari Data Mining and Knowledge Discovery Journal, 2019. Analysing tumour heterogeneity by incorporating long-range mutational influences and multiple sample data into HetFHMM Mohammad Shamsur Rahman, Ann Nicholson, Gholamreza Haffari Journal of Computational Biology, 2019. Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning Diva Baggio, Trisha Peel, Anton Peleg, Sharon Avery, Madhurima Prayaga, Michelle Foo, Gholamreza Haffari, Ming Liu, Christoph Bergmeir, Michelle Ananda-Rajah Journal of Clinical Medicine, 2019. Multi-objective semi-supervised clustering to identify health service patterns for injured patients Hadi Akbarzadeh Khorshidi, Gholamreza Haffari, Uwe Aickelin, Behrooz Hassani-Mahmooei Journal of Health Information Science and Systems, 2019. An Interpretable Algorithm on Post-Injury Health Service Utilization Patterns to Predict Injury Outcomes Hadi Akbarzadeh Khorshidi, Gholamreza Haffari, Behrooz Hassani-Mahmooei Journal of Occupational Rehabilitation, 2019. 2018 Improved Neural Machine Translation using Side Information Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2018. Best Paper Award Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation Xuanli He, Quan Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2018. Sequence to Sequence Mixture Model for Diverse Machine Translation [code] Xuanli He, Gholamreza Haffari, Mohammad Norouzi In Proceedings of CoNLL, 2018. Learning to Actively Learn Neural Machine Translation [code] Ming Liu, Wray Buntine, Gholamreza Haffari In Proceedings of CoNLL, 2018. Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach [code] Trang Vu, Gholamreza Haffari In Proceedings of EMNLP, 2018. Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model Poorya Zaremoodi, Gholamreza Haffari In Proceedings of COLING, 2018. Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations Sameen Maruf, Andre Martins, Gholamreza Haffari Proceedings of the Third Conference on Machine Translation (WMT), 2018. Document Context Neural Machine Translation with Memory Networks [code] Sameen Maruf, Gholamreza Haffari Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. Learning How to Actively Learn: A Deep Imitation Learning Approach [code] Ming Liu, Wray Buntine, Gholamreza Haffari Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. Graph-to-Sequence Learning using Gated Graph Neural Networks [code] Daniel Beck, Gholamreza Haffari, Trevor Cohn Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation Poorya Zaremoodi, Wray Buntine, Gholamreza Haffari Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. Iterative Back-Translation for Neural Machine Translation Cong Duy Vu Hoang, Philipp Koehn, Gholamreza Haffari, Trevor Cohn Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, pages 1–7, 2018. Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach [code] Poorya Zaremoodi, Gholamreza Haffari Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. The Context-dependent Additive Recurrent Neural Net Quan Hung Tran, Tuan Lai, Ingrid Zukerman, Gholamreza Haffari, Trung Bui and Hung Bui Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. 2017 Towards Decoding as Continuous Optimization in Neural Machine Translation [code] Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn In Proceedings of EMNLP, 2017. Preserving Distributional Information in Dialogue Act Classification Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari In Proceedings of EMNLP, 2017. Word Representation Models for Morphologically Rich Languages in Neural Machine Translation Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari In Proceedings of SCLEM workshop at EMNLP, 2017. Persian to English Translation Problems of Topicalization Process in the Apertium Platform Parya Razmdideh, Abbas Ali Ahangra, Seyyed Mojtaba Sabbagh Jafari, Gholamreza Haffari To Appear in Translation Studies Journal, 2017. Persian–Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language Benyamin Ahmadnia, Javier Serrano, Gholamreza Haffari In Proceedings of Recent Advances in Natural Language Processing (RANLP), 2017. Compressed Nonparametric Language Modelling [slides] [supplementary] Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017. A Generative Attentional Neural Network Model for Dialogue Act Classification Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2017. Data dependent dissimilarity measure: An effective alternative to geometric distance measures Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari Knowledge and Information Systems (KAIS) Journal, 2017. Efficient Benchmarking of NLP APIs using Multi-armed Bandits Gholamreza Haffari, Tuan Tran, Mark Carman In Proceedings of the Conference of European Chapter of the Association for Computational Linguistics (EACL), 2017. A Hierarchical Neural Model for Learning Sequence of Dialogue Acts Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari In Proceedings of the Conference of European Chapter of the Association for Computational Linguistics (EACL), 2017. HetFHMM: A novel approach to infer tumour heterogeneity using factorial hidden Markov model Mohammad Shamsur Rahman, Ann Nicholson, Gholamreza Haffari Journal of Computational Biology, 2017. PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy Jiangning Song, Fuyi Li, Andre Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Gholamreza Haffari, Kuo-Chen Chou, Geoffrey I. Webb, Robert N. Pike Accepted to Bioinformatics, 2017. HIT'nDRIVE: Patient-specific multi-driver gene prioritization for precision oncology Raunak Shrestha, Ermin Hodzic, Thomas Sauerwald, Phuong Dao, Kendric Wang, Jake Yeung, Shawn Anderson, Fabio Vandin, Gholamreza Haffari, Colin C Collins and Cenk Sahinalp Genome Research, 2017. Melphalan modifies the bone microenvironment by enhancing osteoclast formation Ryan C. Chai, Michelle M. McDonald, Rachael L. Terry, Nataša Kovačić, Jenny M. Down, Jessica A. Pettitt, Sindhu T. Mohanty, Shruti Shah, Gholamreza Haffari, Jiake Xu, Matthew T. Gillespie, Michael J. Rogers, John T. Price, Peter I. Croucher, and Julian M.W. Quinn Oncotarget, 2017. 2016 Multi-domain evaluation framework for named entity recognition tools Zahraa S. Abdallaha, Mark Carman, Gholamreza Haffari Computer Speech & Language Journal, Online 12 November 2016. Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources Simon Kocbek, Lawrence Cavedon, David Martinez, Christopher Bain, Chris Mac Manus, Gholamreza Haffari, Ingrid Zukerman, Karin Verspoor Journal of Biomedical Informatics, Volume 64, 2016. Improving neural translation models with linguistic factors Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2016. Best Paper Award Learning cascaded latent variable models for biomedical text classification Ming Liu, Gholamreza Haffari, Wray Buntine In Proceedings of the Australasian Language Technology Association Workshop (ALTA), 2016. Improving Word Alignment of Rare Words with Word Embeddings Masoud Jalili, Hesham Faili, Gholamreza Haffari In Proceedings of the International Conference on Computational Linguistics (COLING), 2016. Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees [code] Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn Transactions of the Association for Computational Linguistics (TACL), 2016. Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling [code] Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016. Incorporating Structural Alignment Biases into an Attentional Neural Translation Model [code] Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016. A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models [video] [code] Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016. Incorporating Context into Recurrent Neural Network Language Models Cong Duy Vu Hong, Trevor Cohn, Gholamreza Haffari In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016. Inter-document Contextual Language model Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2016. 2015 Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees [code] Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015. Automated Analysis of Bangla Poetry for Classification and Poet Identification Geetanjali Rakshit, Anupam Ghosh, Pushpak Bhattacharyya, Gholamreza Haffari In Proceedings of the 12th International Conference on Natural Language Processing (ICON), 2015. Structured Prediction of Sequences and Trees using Infinite Contexts Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann Nicholson In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2015. Half-space Mass: A maximally robust and efficient data depth method Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari Machine Learning Journal, Volume 100, Issue 2, pp 677-699. Also appeared in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2015. Beyond tf-idf and cosine distance in documents dissimilarity measure Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio In Proceedings of The Asia Information Retrieval Societies Conference (AIRS), 2015. Novel Bernstein-like Concentration Inequalities for the Missing Mass Bahman Yari Saeed Khanloo, Gholamreza Haffari In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI), 2015. Optimizing Multivariate Performance Measures for Learning Relation Extraction Models Gholamreza Haffari, Ajay Nagesh, Ganesh Ramakrishnan In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), 2015. Predicting Segmentation Errors in an Iris Recognition System Nitin Mahadeo, Gholamreza Haffari, Andrew Paplinski In Proceedings of the International Conference on Biometrics (ICB), 2015. 2014 mp-dissimilarity: A data dependent dissimilarity measure Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, and Takashi Washio In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2014. Acceptance rate: 19% Noisy Or-based model for Relation Extraction using Distant Supervision Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014. HIT'nDRIVE: Multi-Driver Gene Prioritization based on Hitting Time Raunak Shrestha, Ermin Hodzic, Jake Yeung, Kendric Wang, Thomas Sauerwald, Phuong Dao, Shawn Anderson, Himisha Beltran, Mark A. Rubin, Colin Collins, Gholamreza Haffari, Cenk Sahinalp In Proceedings of the 18th Annual International Conference on Research in Computational Molecular Biology (RECOMB), LNCS/LNBI 8394: 293-306, 2014. 2013 Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules Baskaran Sankaran, Gholamreza Haffari, Anoop Sarkar In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), 2013. Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation Majid Razmara, Maryam Siahbani, Gholamreza Haffari, Anoop Sarkar In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013. An Infinite Hierarchical Bayesian Model of Phrasal Translation Trevor Cohn, Gholamreza Haffari In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013. The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis Kashyap Popat, Balamurali A.R, Pushpak Bhattacharyya, Gholamreza Haffari In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 2013. An Efficient Algorithm for Upper Bound on the Partition Function of Nucleic Acids Hamidreza Chitsaz, Elmirasadat Forouzmand, Gholamreza Haffari Journal of Computational Biology 20(7): 486-494; (doi:10.1089/cmb.2013.0003) (arXiv:1301.1590 [q-bio.BM]) Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis Habil Zare, Gholamreza Haffari, Arvind Gupta, Ryan R Brinkman BMC Genomics (doi:10.1186/1471-2164-14-S1-S14), 2013. 2012 Compact Rule Extraction for Hierarchical Phrase-based Translation Baskaran Sankaran, Gholamreza Haffari, Anoop Sarkar The 10th bi-annual conference of the Association for Machine Translation in the Americas (AMTA), 2012. DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer Ali Bashashati*, Gholamreza Haffari*, Jiarui Ding*, Gavin Ha, Kenneth Liu, Jamie Rosner, Samuel Aparicio, and Sohrab Shah Genome Biology, Issue 12, Vol 13, 2012. *: Joint first authors. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups Christina Curtis, Sohrab P. Shah, Suet-Feung Chin, Gulisa Turashvili, Oscar M. Rueda, Mark J. Dunning, Doug Speed, Andy G. Lynch, Shamith Samarajiwa, Yinyin Yuan, Stefan Gr, Gavin Ha, Gholamreza Haffari, Ali Bashashati, Roslin Russell, Steven McKinney, Anita Langer, Andrew Green, Elena Provenzano, Gordon Wishart, Sarah Pinder, Peter Watson, METABRIC Group, Florian Markowitz, Leigh Murphy, Ian Ellis, Arnie Purushotham, Anne-Lise Borresen-Dale, James D. Brenton, Simon Tavar, Carlos Caldas and Samuel Aparicio Nature 486, 346–352, 21 June 2012 The clonal and mutational evolution spectrum of primary triple-negative breast cancers Sohrab P. Shah, Andrew Roth*, Rodrigo Goya*, Arusha Oloumi*, Gavin Ha*, Yongjun Zhao*, Gulisa Turashvili*, Jiarui Ding*, Kane Tse*, Gholamreza Haffari*, Ali Bashashati*, Leah Prentice, Jaswinder Khattra, Angela Burleigh, Damian Yap, Andrew McPherson, Karey Shumansky, Anamaria Crisan, Ryan Giuliany, Alireza Heravi-Moussavi, Jamie Rosner, Daniel Lai, Inanc Birol, Richard Varhol, Angela Tam, Noreen Dhalla, Thomas Zeng, Kevin Ma, Simon Chan, Malachi Griffith, Annie Moradian, S.-W. Grace Cheng, Gregg Morin, Peter Watson, Karen Gelmon, Stephen Chia, Suet-Feung Chin, Christina N Curtis, Oscar Rueda, Paul Pharoah, Sambasivarao Damaraju, John Mackey, Kelly Hoon, Timothy Harkins, Vasisht Tadigotla, Mahvash Sigaroudinia, Philippe Gascard, Thea Tlsty, Joseph Costello, Irmtraud M Meyer, Connie J Eaves, Steven Jones, David Huntsman, Martin Hirst, Carlos Caldas, Marco A Marra, Samuel Aparicio Nature 486, 395–399, 21 June 2012 *: Joint second authors. Feature based classifiers for somatic mutation detection in tumour-normal paired sequencing data Jiarui Ding, Ali Bashashati, Andrew Roth, Arusha Oloumi, Kane Tse, Gholamreza Haffari, Martin Hirst, Marco Marra, Anne Condon, Samuel Aparicio, and Sohrab Shah Bioinformatics, January 16, 2012 Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma Ali Bashashati*, Habil Zare*, Robert Kridel, Nima Aghaeepour, Gholamreza Haffari, Joseph Connors, Randy D. Gascoyne, Arvind Gupta, Ryan R. Brinkman, Andrew Weng American Journal of Clinical Pathology, January 2012, 137(1):75-85 *: Both authors contributed equally to this work. 2011 Bayesian Extraction of Minimal SCFG Rules for Hierarchical Phrase-based Translation B. Sankaran, G.R. Haffari, and A. Sarkar Sixth Workshop on Statistical Machine Translation (WMT), 2011. An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing G.R. Haffari, M. Razavi and A. Sarkar 49th Annual Meeting of the Association for Computational Linguistics (ACL), 2011. Modeling the Temporal Dynamics of Social Rating Networks using Bidirectional Effects of Social Relations and Rating Patterns M. Jamali, G. R. Haffari, and M. Ester The 20th international conference on world wide web (WWW), 2011. 2010 Semi-supervised Block ITG Models for Word Alignment G.R. Haffari, M. Razmara, F. Popowich The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010. Latent SVMs for Semantic Role Labeling using LTAG Derivation Trees Y. Liu, G.R. Haffari, A. Sarkar The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010. A Rate Distortion Approach for Semi-Supervised Conditional Random Fields Y. Wang, G.R. Haffari, S. Wang, G. Mori Advances in Neural Information Processing Systems (NIPS), 2010. 2009 Active Learning for Multilingual Statistical Machine Translation G.R. Haffari, A. Sarkar 47th Annual Meeting of the Association for Computational Linguistics (ACL), 2009. Errata: Due to our oversight the published paper does not explicitly state that the PORTAGEShared machine translation system developed at the National Research Council (NRC), Canada was used as the base translation system for all the experiments reported in this paper. Hierarchical Dirichlet Trees for Information Retrieval G.R. Haffari, Y. W. Teh North American Chapter of the ACL - Human Language Technologies (NAACL-HLT), 2009. slides Active Learning for Statistical Phrase-based Machine Translation G.R. Haffari, M. Roy, A. Sarkar North American Chapter of the ACL - Human Language Technologies (NAACL-HLT), 2009. slides 2008 Homotopy-based Semi-Supervised Hidden Markov Models for Sequence Labeling G.R. Haffari, A. Sarkar The 22nd International Conference on Computational Linguistics (COLING), 2008. Also look at this longer technical report TR 2008-15 in the School of Computing Sciences, SFU slides Boosting with Incomplete Information G.R. Haffari*, Y. Wang*, S. Wang, G. Mori, F. Jiao, (* : authors contributed equally) The 25th International Conference on Machine Learning (ICML), 2008. slides Semi-supervised model adaptation for statistical machine translation N. Ueffing, G.R. Haffari, A. Sarkar Machine Translation Journal, 2008. Semi-supervised learning for Machine Translation N. Ueffing, G.R. Haffari, A. Sarkar Book chapter in Learning Machine Translation, Eds. Cyril Goutte, Nicola Cancedda, Marc Dymetman and George Foster. MIT Press. 2008 2007 Analysis of Semi-Supervised Learning with the Yarowsky Algorithm G.R. Haffari, A. Sarkar 23rd Conference on Uncertainty in Artificial Intelligence (UAI), 2007. Also look at this longer technical report TR 2007-07 in the School of Computing Sciences, SFU slides Transductive Learning for Statistical Machine Translation N. Ueffing, G.R. Haffari, A. Sarkar 45th Annual Meeting of Association for Computational Linguistics (ACL), 2007. slides 2002 Analysis of STAGE algorithm based on Solving Bin-Packing Problem G.R. Haffari, S.B. Shouraki The International Conference on Machine Learning and Applications (ICMLA), Las Vegas, 2002 Different Local Search Algorithms in STAGE for Solving Bin Packing Problem S.B. Shouraki, G.R. Haffari Eurasia Information and Communication Technologies (Eurasia-ICT'02), 2002 Intelligent Approaches for Optimization: A Survey G.R. Haffari Iranian Electrical Engineering Conference, 2002 Tutorials Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation G.R. Haffari Tutorial presented at Machine Translation Summit XII, 2009. Inductive Semi-supervised Learning Methods: with Applicability to Natural Language Processing A. Sarkar, and G.R. Haffari Tutorial presented at HLT-NAACL, 2006. bibliography Theses Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation G.R. Haffari PhD Thesis, School of Computing Sciences, Simon Fraser University, 2009 Senior Supervisor: Prof. Anoop Sarkar Combinatorial Optimization based on Evaluation Functions G.R. Haffari MSc Thesis, Sharif University of Technology, 2002 Technical Reports Homotopy-based Semi-supervised Hidden Markov Models and Probabilistic Context Free Grammars G.R. Haffari, A. Sarkar Technical Report TR 2008-15, School of Computing Science, SFU, 2008 Analysis of Semi-Supervised Learning with the Yarowsky Algorithm G.R. Haffari, A. Sarkar Technical Report TR 2007-07, School of Computing Science, SFU, 2007 A Survey on Inductive Semi-Supervised Learning G.R. Haffari This report is written as one of the requirements for the PhD degree, SFU, 2006 slides . Other good surveys are written by Jerry Zhu and Matthias Seeger. Model free Reinforcement Learning for Traffic Light Control G.R. Haffari Technical report, Azad University, 2003 |