Mohammad Javad Hosseini

According to our database, Mohammad Javad Hosseini authored at least 31 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable and Domain-General Abstractive Proposition Segmentation.

Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A synthetic data approach for domain generalization of NLI models.

Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Sources of Hallucination by Large Language Models on Inference Tasks.

Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction.

Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Resolving Indirect Referring Expressions for Entity Selection.

Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Language Models Are Poor Learners of Directional Inference.

Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, Mark Steedman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-lingual Inference with A Chinese Entailment Graph.

Tianyi Li, Sabine Weber, Mohammad Javad Hosseini, Liane Guillou, Mark Steedman

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Unsupervised learning of relational entailment graphs from text

Mohammad Javad Hosseini

PhD thesis, 2021

Incorporating Temporal Information in Entailment Graph Mining.

Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman

CoRR, 2021

Multivalent Entailment Graphs for Question Answering.

Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Steedman

CoRR, 2021

Multivalent Entailment Graphs for Question Answering.

Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Johnson, Mark Steedman

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs.

Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Spatial Language Representation with Multi-Level Geocoding.

Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini, Jason Baldridge, Eugene Ie, Li Zhang

CoRR, 2020

2019

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model.

Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang

CoRR, 2019

Duality of Link Prediction and Entailment Graph Induction.

Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning Typed Entailment Graphs with Global Soft Constraints.

Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman

Trans. Assoc. Comput. Linguistics, 2018

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries.

Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi

Comput. Methods Programs Biomed., 2018

2016

Coronary artery disease detection using computational intelligence methods.

Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi

Knowl. Based Syst., 2016

An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams.

Mohammad Javad Hosseini, Ameneh Gholipour, Hamid Beigy

Knowl. Inf. Syst., 2016

UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields.

Mohammad Javad Hosseini, Noah A. Smith, Su-In Lee

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Learning Sparse Gaussian Graphical Models with Overlapping Blocks.

Mohammad Javad Hosseini, Su-In Lee

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Learning to Solve Arithmetic Word Problems with Verb Categorization.

Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification.

Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

Evol. Syst., 2013

A data mining approach for diagnosis of coronary artery disease.

Roohallah Alizadehsani, Jafar Habibi, Mohammad Javad Hosseini, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Behdad Bahadorian, Zahra Alizadeh Sani

Comput. Methods Programs Biomed., 2013

An algorithm for discovering clusters of different densities or shapes in noisy data sets.

Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

An adaptive regression tree for non-stationary data streams.

Ameneh Gholipour, Mohammad Javad Hosseini, Hamid Beigy

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis.

Roohallah Alizadehsani, Mohammad Javad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Alizadeh Sani

Int. J. Knowl. Discov. Bioinform., 2012

Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms.

Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

New Management Operations on Classifiers Pool to Track Recurring Concepts.

Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2011

A Dependable and Efficient Scheduling Model for Critical Applications on Grid Systems.

Bahman Arasteh, Mohammad Javad Hosseini

Proceedings of the Sixth International Symposium on Parallel Computing in Electrical Engineering (PARELEC 2011), 2011

Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.

Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

Proceedings of the Data Mining Workshops (ICDMW), 2011