Mohammad Javad Hosseini

41 papers A* 1B 1Misc 2Journal 19Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Entailed Between the Lines: Incorporating Implication into NLI.
ACL (1)
Shreya Havaldar, Hamidreza Alvari, John Palowitch, Mohammad Javad Hosseini, Senaka Buthpitiya, Alex Fabrikant
2025 J jnl
Entailed Between the Lines: Incorporating Implication into NLI.
CoRR
Shreya Havaldar, Hamidreza Alvari, John Palowitch, Mohammad Javad Hosseini, Senaka Buthpitiya, Alex Fabrikant
2024 — conf
A synthetic data approach for domain generalization of NLI models.
ACL (1)
Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis
2024 J jnl
A synthetic data approach for domain generalization of NLI models.
CoRR
Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis
2024 — conf
Scalable and Domain-General Abstractive Proposition Segmentation.
EMNLP (Findings)
Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo
2024 J jnl
Scalable and Domain-General Abstractive Proposition Segmentation.
CoRR
Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo
2023 — conf
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction.
ACL (1)
Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster
2023 J jnl
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction.
CoRR
Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster
2023 — conf
Resolving Indirect Referring Expressions for Entity Selection.
ACL (1)
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis
2023 — conf
Sources of Hallucination by Large Language Models on Inference Tasks.
EMNLP (Findings)
Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman
2023 J jnl
Sources of Hallucination by Large Language Models on Inference Tasks.
CoRR
Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman
2022 — conf
Cross-lingual Inference with A Chinese Entailment Graph.
ACL (Findings)
Tianyi Li, Sabine Weber, Mohammad Javad Hosseini, Liane Guillou, Mark Steedman
2022 J jnl
Cross-lingual Inference with A Chinese Entailment Graph.
CoRR
Tianyi Li, Sabine Weber, Mohammad Javad Hosseini, Liane Guillou, Mark Steedman
2022 — conf
Language Models Are Poor Learners of Directional Inference.
EMNLP (Findings)
Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, Mark Steedman
2022 J jnl
Language Models Are Poor Learners of Directional Inference.
CoRR
Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, Mark Steedman
2022 J jnl
Resolving Indirect Referring Expressions for Entity Selection.
CoRR
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis
2021 J jnl
Incorporating Temporal Information in Entailment Graph Mining.
CoRR
Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman
2021 — conf
Multivalent Entailment Graphs for Question Answering.
EMNLP (1)
Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Johnson, Mark Steedman
2021 J jnl
Multivalent Entailment Graphs for Question Answering.
CoRR
Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Steedman
2021 — conf
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs.
EMNLP (Findings)
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman
2021 — —
Unsupervised learning of relational entailment graphs from text
Mohammad Javad Hosseini
2020 J jnl
Spatial Language Representation with Multi-Level Geocoding.
CoRR
Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini, Jason Baldridge, Eugene Ie, Li Zhang
2019 — conf
Duality of Link Prediction and Entailment Graph Induction.
ACL (1)
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman
2019 J jnl
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model.
CoRR
Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang
2018 J jnl
Learning Typed Entailment Graphs with Global Soft Constraints.
Trans. Assoc. Comput. Linguistics
Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman
2018 J jnl
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries.
Comput. Methods Programs Biomed.
Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi
2016 J jnl
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams.
Knowl. Inf. Syst.
Mohammad Javad Hosseini, Ameneh Gholipour, Hamid Beigy
2016 J jnl
Coronary artery disease detection using computational intelligence methods.
Knowl. Based Syst.
Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi
2016 — conf
Learning Sparse Gaussian Graphical Models with Overlapping Blocks.
NIPS
Mohammad Javad Hosseini, Su-In Lee
2016 — conf
UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields.
SemEval@NAACL-HLT
Mohammad Javad Hosseini, Noah A. Smith, Su-In Lee
2014 A* conf
Learning to Solve Arithmetic Word Problems with Verb Categorization.
EMNLP
Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman
2013 J jnl
A data mining approach for diagnosis of coronary artery disease.
Comput. Methods Programs Biomed.
Roohallah Alizadehsani, Jafar Habibi, Mohammad Javad Hosseini, Hoda Mashayekhi, Reihane Boghrati, Asma Ghandeharioun, Behdad Bahadorian, Zahra Alizadeh Sani
2013 Misc conf
An adaptive regression tree for non-stationary data streams.
SAC
Ameneh Gholipour, Mohammad Javad Hosseini, Hamid Beigy
2013 Misc conf
An algorithm for discovering clusters of different densities or shapes in noisy data sets.
SAC
Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy
2013 — conf
Using a Classifier Pool in Accuracy Based Tracking of Recurring Concepts in Data Stream Classification.
LWA
Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy
2013 J jnl
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification.
Evol. Syst.
Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy
2012 — conf
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms.
ICDM Workshops
Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati
2012 J jnl
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis.
Int. J. Knowl. Discov. Bioinform.
Roohallah Alizadehsani, Mohammad Javad Hosseini, Reihane Boghrati, Asma Ghandeharioun, Fahime Khozeimeh, Zahra Alizadeh Sani
2012 B conf
New Management Operations on Classifiers Pool to Track Recurring Concepts.
DaWaK
Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy
2011 — conf
A Dependable and Efficient Scheduling Model for Critical Applications on Grid Systems.
PARELEC
Bahman Arasteh, Mohammad Javad Hosseini
2011 — conf
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.
ICDM Workshops
Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy