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Mohammad Javad Hosseini
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2020 – today
- 2024
- [c20]Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis:
A synthetic data approach for domain generalization of NLI models. ACL (1) 2024: 2212-2226 - [c19]Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo:
Scalable and Domain-General Abstractive Proposition Segmentation. EMNLP (Findings) 2024: 8856-8872 - [i11]Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis:
A synthetic data approach for domain generalization of NLI models. CoRR abs/2402.12368 (2024) - [i10]Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo:
Scalable and Domain-General Abstractive Proposition Segmentation. CoRR abs/2406.19803 (2024) - 2023
- [c18]Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster:
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. ACL (1) 2023: 10251-10269 - [c17]Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis:
Resolving Indirect Referring Expressions for Entity Selection. ACL (1) 2023: 12313-12335 - [c16]Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson
, Mark Steedman:
Sources of Hallucination by Large Language Models on Inference Tasks. EMNLP (Findings) 2023: 2758-2774 - [i9]Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman:
Sources of Hallucination by Large Language Models on Inference Tasks. CoRR abs/2305.14552 (2023) - [i8]Jeremiah Milbauer
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. CoRR abs/2305.19585 (2023) - 2022
- [c15]Tianyi Li, Sabine Weber, Mohammad Javad Hosseini, Liane Guillou
Cross-lingual Inference with A Chinese Entailment Graph. ACL (Findings) 2022: 1214-1233 - [c14]Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, Mark Steedman:
Language Models Are Poor Learners of Directional Inference. EMNLP (Findings) 2022: 903-921 - [i7]Tianyi Li, Sabine Weber, Mohammad Javad Hosseini, Liane Guillou, Mark Steedman:
Cross-lingual Inference with A Chinese Entailment Graph. CoRR abs/2203.06264 (2022) - [i6]Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, Mark Steedman:
Language Models Are Poor Learners of Directional Inference. CoRR abs/2210.04695 (2022) - [i5]Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis:
Resolving Indirect Referring Expressions for Entity Selection. CoRR abs/2212.10933 (2022) - 2021
- [b1]Mohammad Javad Hosseini:
Unsupervised learning of relational entailment graphs from text. University of Edinburgh, UK, 2021 - [c13]Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman:
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs. EMNLP (Findings) 2021: 2790-2802 - [c12]Nick McKenna, Liane Guillou
Multivalent Entailment Graphs for Question Answering. EMNLP (1) 2021: 10758-10768 - [i4]Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Steedman:
Multivalent Entailment Graphs for Question Answering. CoRR abs/2104.07846 (2021) - [i3]Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman:
Incorporating Temporal Information in Entailment Graph Mining. CoRR abs/2109.09412 (2021) - 2020
- [i2]Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini, Jason Baldridge, Eugene Ie, Li Zhang:
Spatial Language Representation with Multi-Level Geocoding. CoRR abs/2008.09236 (2020)
2010 – 2019
- 2019
- [c11]Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson
Duality of Link Prediction and Entailment Graph Induction. ACL (1) 2019: 4736-4746 - [i1]Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang:
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. CoRR abs/1908.08672 (2019) - 2018
- [j7]Roohallah Alizadehsani
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [j6]Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson
Learning Typed Entailment Graphs with Global Soft Constraints. Trans. Assoc. Comput. Linguistics 6: 703-717 (2018) - 2016
- [j5]Mohammad Javad Hosseini, Ameneh Gholipour, Hamid Beigy
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams. Knowl. Inf. Syst. 46(3): 567-597 (2016) - [j4]Roohallah Alizadehsani
Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. 109: 187-197 (2016) - [c10]Mohammad Javad Hosseini, Su-In Lee:
Learning Sparse Gaussian Graphical Models with Overlapping Blocks. NIPS 2016: 3801-3809 - [c9]Mohammad Javad Hosseini, Noah A. Smith, Su-In Lee:
UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields. SemEval@NAACL-HLT 2016: 931-936 - 2014
- [c8]Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman:
Learning to Solve Arithmetic Word Problems with Verb Categorization. EMNLP 2014: 523-533 - 2013
- [j3]Roohallah Alizadehsani
A data mining approach for diagnosis of coronary artery disease. Comput. Methods Programs Biomed. 111(1): 52-61 (2013) - [j2]Mohammad Javad Hosseini, Zahra Ahmadi
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification. Evol. Syst. 4(1): 43-60 (2013) - [c7]Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Using a Classifier Pool in Accuracy Based Tracking of Recurring Concepts in Data Stream Classification. LWA 2013: 90-97 - [c6]Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy
An algorithm for discovering clusters of different densities or shapes in noisy data sets. SAC 2013: 144-149 - [c5]Ameneh Gholipour, Mohammad Javad Hosseini, Hamid Beigy
An adaptive regression tree for non-stationary data streams. SAC 2013: 815-817 - 2012
- [j1]Roohallah Alizadehsani
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. Int. J. Knowl. Discov. Bioinform. 3(1): 59-79 (2012) - [c4]Mohammad Javad Hosseini, Zahra Ahmadi
New Management Operations on Classifiers Pool to Track Recurring Concepts. DaWaK 2012: 327-339 - [c3]Roohallah Alizadehsani
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. ICDM Workshops 2012: 9-16 - 2011
- [c2]Mohammad Javad Hosseini, Zahra Ahmadi
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. ICDM Workshops 2011: 588-595 - [c1]Bahman Arasteh
A Dependable and Efficient Scheduling Model for Critical Applications on Grid Systems. PARELEC 2011: 79-86
Coauthor Index
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