Gholamreza Haffari

According to our database1, Gholamreza Haffari authored at least 146 papers between 2002 and 2021.

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Bibliography

2021
A Survey on Document-level Neural Machine Translation: Methods and Evaluation.
ACM Comput. Surv., 2021

Medical Visual Question Answering: A Survey.
CoRR, 2021

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation.
CoRR, 2021

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training.
CoRR, 2021

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs.
CoRR, 2021

Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective.
CoRR, 2021

Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation.
CoRR, 2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors.
CoRR, 2021

Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients.
Proceedings of the 38th International Conference on Machine Learning, 2021

It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Lifelong Explainer for Lifelong Learners.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Few-Shot Semantic Parsing for New Predicates.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Cognition-aware Cognate Detection.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Explain: Generating Stable Explanations Fast.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multilingual Simultaneous Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data.
SN Comput. Sci., 2020

A Statistically Efficient and Scalable Method for Exploratory Analysis of High-Dimensional Data.
SN Comput. Sci., 2020

A comparative study of data-dependent approaches without learning in measuring similarities of data objects.
Data Min. Knowl. Discov., 2020

Domain Adaptative Causality Encoder.
CoRR, 2020

Learning Coupled Policies for Simultaneous Machine Translation.
CoRR, 2020

Learning to Multi-Task Learn for Better Neural Machine Translation.
CoRR, 2020

Findings of the WMT 2020 Shared Task on Chat Translation.
Proceedings of the Fifth Conference on Machine Translation, 2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Challenge Dataset of Cognates and False Friend Pairs from Indian Languages.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Caption Alignment for Low Resource Audio-Visual Data.
Proceedings of the Interspeech 2020, 2020

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Decoding As Dynamic Programming For Recurrent Autoregressive Models.
Proceedings of the 8th International Conference on Learning Representations, 2020

Personal Information Leakage Detection in Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Scene Graph Modification Based on Natural Language Commands.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Leveraging Discourse Rewards for Document-Level Neural Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Context Dependent Semantic Parsing: A Survey.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Understanding Unnatural Questions Improves Reasoning over Text.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Compact Rule Extraction for Hierarchical Phrase-based Translation.
Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, 2020

Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Analyzing Tumor Heterogeneity by Incorporating Long-Range Mutational Influences and Multiple Sample Data into Heterogeneity Factorial Hidden Markov Model.
J. Comput. Biol., 2019

Multi-objective semi-supervised clustering to identify health service patterns for injured patients.
Health Inf. Sci. Syst., 2019

A Survey on Document-level Machine Translation: Methods and Evaluation.
CoRR, 2019

Question Generation from Paragraphs: A Tale of Two Hierarchical Models.
CoRR, 2019

Medical Multimodal Classifiers Under Scarce Data Condition.
CoRR, 2019

A new simple and effective measure for bag-of-word inter-document similarity measurement.
CoRR, 2019

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
Briefings Bioinform., 2019

Utilizing Wordnets for Cognate Detection among Indian Languages.
Proceedings of the 10th Global Wordnet Conference, 2019

Neural Speech Translation using Lattice Transformations and Graph Networks.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Selective Attention for Context-aware Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Monash University's Submissions to the WNGT 2019 Document Translation Task.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Cognate Identification to improve Phylogenetic trees for Indian Languages.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Learning How to Active Learn by Dreaming.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Versus Non-Neural Text Simplification: A Case Study.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

A Pointer Network Architecture for Context-Dependent Semantic Parsing.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018
HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models.
J. Comput. Biol., 2018

PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.
Bioinform., 2018

Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

The Context-Dependent Additive Recurrent Neural Net.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Actively Learn Neural Machine Translation.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Sequence to Sequence Mixture Model for Diverse Machine Translation.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Statistical Machine Translation for Bilingually Low-Resource Scenarios: A Round-Tripping Approach.
Proceedings of the 5th IEEE International Congress on Information Science and Technology, 2018

Iterative Back-Translation for Neural Machine Translation.
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Document Context Neural Machine Translation with Memory Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning How to Actively Learn: A Deep Imitation Learning Approach.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Graph-to-Sequence Learning using Gated Graph Neural Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improved Neural Machine Translation using Side Information.
Proceedings of the Australasian Language Technology Association Workshop 2018, 2018

Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation.
Proceedings of the Australasian Language Technology Association Workshop 2018, 2018

2017
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures.
Knowl. Inf. Syst., 2017

Multi-domain evaluation framework for named entity recognition tools.
Comput. Speech Lang., 2017

Decoding as Continuous Optimization in Neural Machine Translation.
CoRR, 2017

Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Compressed Nonparametric Language Modelling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

Preserving Distributional Information in Dialogue Act Classification.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Towards Decoding as Continuous Optimisation in Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Hierarchical Neural Model for Learning Sequences of Dialogue Acts.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Efficient Benchmarking of NLP APIs using Multi-armed Bandits.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Generative Attentional Neural Network Model for Dialogue Act Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Leveraging Linguistic Resources for Improving Neural Text Classification.
Proceedings of the Australasian Language Technology Association Workshop, 2017

2016
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees.
Trans. Assoc. Comput. Linguistics, 2016

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.
J. Biomed. Informatics, 2016

Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments.
CoRR, 2016

A Latent Variable Recurrent Neural Network for Discourse Relation Language Models.
CoRR, 2016

Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

Inter-document Contextual Language model.
Proceedings of the NAACL HLT 2016, 2016

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models.
Proceedings of the NAACL HLT 2016, 2016

Incorporating Side Information into Recurrent Neural Network Language Models.
Proceedings of the NAACL HLT 2016, 2016

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model.
Proceedings of the NAACL HLT 2016, 2016

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Improving Word Alignment of Rare Words with Word Embeddings.
Proceedings of the COLING 2016, 2016

Learning cascaded latent variable models for biomedical text classification.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

Improving Neural Translation Models with Linguistic Factors.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

2015
Half-space mass: a maximally robust and efficient data depth method.
Mach. Learn., 2015

Novel Bernstein-like Concentration Inequalities for the Missing Mass.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Structured Prediction of Sequences and Trees Using Infinite Contexts.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Automated Analysis of Bangla Poetry for Classification and Poet Identification.
Proceedings of the 12th International Conference on Natural Language Processing, 2015

Predicting segmentation errors in an iris recognition system.
Proceedings of the International Conference on Biometrics, 2015

Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure.
Proceedings of the Information Retrieval Technology, 2015

2014
HIT'nDRIVE: Multi-driver Gene Prioritization Based on Hitting Time.
Proceedings of the Research in Computational Molecular Biology, 2014

Mp-Dissimilarity: A Data Dependent Dissimilarity Measure.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Noisy Or-based model for Relation Extraction using Distant Supervision.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
An Efficient Algorithm for Upper Bound on the Partition Function of Nucleic Acids.
J. Comput. Biol., 2013

Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis.
BMC Genom., 2013

Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

An Infinite Hierarchical Bayesian Model of Phrasal Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.
Bioinform., 2012

2011
Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns.
Proceedings of the 20th International Conference on World Wide Web, 2011

Bayesian Extraction of Minimal SCFG Rules for Hierarchical Phrase-based Translation.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2009
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Hierarchical Dirichlet Trees for Information Retrieval.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Active Learning for Statistical Phrase-based Machine Translation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Active Learning for Multilingual Statistical Machine Translation.
Proceedings of the ACL 2009, 2009

2008
Boosting with incomplete information.
Proceedings of the Machine Learning, 2008

Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling.
Proceedings of the COLING 2008, 2008

2007
Semi-supervised model adaptation for statistical machine translation.
Mach. Transl., 2007

Analysis of Semi-Supervised Learning with the Yarowsky Algorithm.
Proceedings of the UAI 2007, 2007

Transductive learning for statistical machine translation.
Proceedings of the ACL 2007, 2007

2006
Tutorial on Inductive Semi-supervised Learning Methods: with Applicability to Natural Language Processing.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

2002
Analysis of STAGE Algorithm Based on Solving Bin Packing Problem.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Different Local Search Algorithms in STAGE for Solving Bin Packing Problem.
Proceedings of the EurAsia-ICT 2002: Information and Communication Technology, 2002


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