Mohammad Javad Hosseini

According to our database1, Mohammad Javad Hosseini authored at least 30 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A synthetic data approach for domain generalization of NLI models.
CoRR, 2024

2023
Sources of Hallucination by Large Language Models on Inference Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Resolving Indirect Referring Expressions for Entity Selection.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-lingual Inference with A Chinese Entailment Graph.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Unsupervised learning of relational entailment graphs from text
PhD thesis, 2021

Incorporating Temporal Information in Entailment Graph Mining.
CoRR, 2021

Multivalent Entailment Graphs for Question Answering.
CoRR, 2021

Multivalent Entailment Graphs for Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Spatial Language Representation with Multi-Level Geocoding.
CoRR, 2020

2019
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model.
CoRR, 2019

Duality of Link Prediction and Entailment Graph Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Learning Typed Entailment Graphs with Global Soft Constraints.
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.
Comput. Methods Programs Biomed., 2018

2016
Coronary artery disease detection using computational intelligence methods.
Knowl. Based Syst., 2016

An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams.
Knowl. Inf. Syst., 2016

UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Learning Sparse Gaussian Graphical Models with Overlapping Blocks.
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.
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.
Evol. Syst., 2013

A data mining approach for diagnosis of coronary artery disease.
Comput. Methods Programs Biomed., 2013

An algorithm for discovering clusters of different densities or shapes in noisy data sets.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

An adaptive regression tree for non-stationary data streams.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis.
Int. J. Knowl. Discov. Bioinform., 2012

Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

New Management Operations on Classifiers Pool to Track Recurring Concepts.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2011
A Dependable and Efficient Scheduling Model for Critical Applications on Grid Systems.
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.
Proceedings of the Data Mining Workshops (ICDMW), 2011


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