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ORCIDParisa Kordjamshidi
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- affiliation: Tulane University
- affiliation: University of Illinois at Urbana-Champaign
- affiliation: Katholieke Universiteit Leuven, Department of Computer Science
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2020 – today
- 2024
[j9]Josué Kpodo, Parisa Kordjamshidi, A. Pouyan Nejadhashemi:
AgXQA: A benchmark for advanced Agricultural Extension question answering. Comput. Electron. Agric. 225: 109349 (2024)- [c50]Danial Kamali, Joseph D. Romain, Huiyi Liu, Wei Peng, Jingbo Meng, Parisa Kordjamshidi:
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation. LREC/COLING 2024: 17285-17309 - [c49]Yue Zhang, Quan Guo, Parisa Kordjamshidi:
NavHint: Vision and Language Navigation Agent with a Hint Generator. EACL (Findings) 2024: 92-103 - [c48]Hossein Rajaby Faghihi, Parisa Kordjamshidi:
Consistent Joint Decision-Making with Heterogeneous Learning Models. EACL (Findings) 2024: 803-813 - [c47]Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi:
Teaching Probabilistic Logical Reasoning to Transformers. EACL (Findings) 2024: 1615-1632 - [c46]Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi:
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language. NeSy (2) 2024: 315-327 - [c45]Guangyue Xu, Joyce Chai, Parisa Kordjamshidi:
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning. WACV 2024: 5762-5771 - [i40]Yue Zhang, Quan Guo, Parisa Kordjamshidi:
NavHint: Vision and Language Navigation Agent with a Hint Generator. CoRR abs/2402.02559 (2024) - [i39]Hossein Rajaby Faghihi, Parisa Kordjamshidi:
Consistent Joint Decision-Making with Heterogeneous Learning Models. CoRR abs/2402.03728 (2024) - [i38]Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi:
Probabilistic Reasoning in Generative Large Language Models. CoRR abs/2402.09614 (2024) - [i37]Elham J. Barezi, Parisa Kordjamshidi:
Find The Gap: Knowledge Base Reasoning For Visual Question Answering. CoRR abs/2404.10226 (2024) - [i36]Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi:
A Survey on Compositional Learning of AI Models: Theoretical and Experimetnal Practices. CoRR abs/2406.08787 (2024) - [i35]Tanawan Premsri, Parisa Kordjamshidi:
Neuro-symbolic Training for Reasoning over Spatial Language. CoRR abs/2406.13828 (2024) - [i34]Elham J. Barezi, Parisa Kordjamshidi:
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA. CoRR abs/2406.18839 (2024) - [i33]Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong:
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding. CoRR abs/2407.05118 (2024) - [i32]Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi:
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models. CoRR abs/2407.07035 (2024) - [i31]Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi:
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language. CoRR abs/2407.20513 (2024) - [i30]Yue Zhang, Parisa Kordjamshidi:
Narrowing the Gap between Vision and Action in Navigation. CoRR abs/2408.10388 (2024) - [i29]Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi:
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs. CoRR abs/2409.04318 (2024) - 2023
- [c44]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning under Constraints. AAAI 2023: 9552-9561 - [c43]Yue Zhang, Parisa Kordjamshidi:
VLN-Trans: Translator for the Vision and Language Navigation Agent. ACL (1) 2023: 13219-13233 - [c42]Hossein Rajaby Faghihi, Parisa Kordjamshidi, Choh Man Teng, James F. Allen:
The Role of Semantic Parsing in Understanding Procedural Text. EACL (Findings) 2023: 1792-1804 - [c41]Roshanak Mirzaee, Parisa Kordjamshidi:
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning. EMNLP (Findings) 2023: 3379-3397 - [c40]Guangyue Xu, Parisa Kordjamshidi, Joyce Chai:
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition. EMNLP (Findings) 2023: 12224-12236 - [c39]Parisa Kordjamshidi:
Spatial and Temporal Reasoning with LLMs for Natural Language Comprehension and Grounding. STRL@IJCAI 2023 - [c38]Roshanak Mirzaee, Parisa Kordjamshidi:
Dual-Phase Models for Extracting Information and Symbolic Reasoning: A Case-Study in Spatial Reasoning. STRL@IJCAI 2023 - [i28]Hossein Rajaby Faghihi, Parisa Kordjamshidi, Choh Man Teng, James F. Allen:
The Role of Semantic Parsing in Understanding Procedural Text. CoRR abs/2302.06829 (2023) - [i27]Yue Zhang, Parisa Kordjamshidi:
VLN-Trans: Translator for the Vision and Language Navigation Agent. CoRR abs/2302.09230 (2023) - [i26]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning Under Constraints. CoRR abs/2302.10914 (2023) - [i25]Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi:
Teaching Probabilistic Logical Reasoning to Transformers. CoRR abs/2305.13179 (2023) - [i24]Roshanak Mirzaee, Parisa Kordjamshidi:
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning. CoRR abs/2310.16731 (2023) - [i23]Guangyue Xu, Parisa Kordjamshidi, Joyce Chai:
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition. CoRR abs/2311.01580 (2023) - [i22]Danial Kamali, Parisa Kordjamshidi:
Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments. CoRR abs/2311.04364 (2023) - [i21]Guangyue Xu, Joyce Chai, Parisa Kordjamshidi:
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning. CoRR abs/2311.05729 (2023) - 2022
- [j8]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. Frontiers Artif. Intell. 5: 755361 (2022) - [c37]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. AAAI 2022: 13152-13154 - [c36]Yue Zhang, Parisa Kordjamshidi:
Explicit Object Relation Alignment for Vision and Language Navigation. ACL (student) 2022: 322-331 - [c35]Chen Zheng, Parisa Kordjamshidi:
Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning. ACL (Findings) 2022: 1927-1933 - [c34]Chen Zheng, Parisa Kordjamshidi:
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering. COLING 2022: 1357-1366 - [c33]Yue Zhang, Parisa Kordjamshidi:
LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. COLING 2022: 5745-5754 - [c32]Roshanak Mirzaee, Parisa Kordjamshidi:
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning. EMNLP 2022: 6148-6165 - [i20]Chen Zheng, Parisa Kordjamshidi:
Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning. CoRR abs/2203.11187 (2022) - [i19]Chen Zheng, Parisa Kordjamshidi:
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering. CoRR abs/2209.09947 (2022) - [i18]Yue Zhang, Parisa Kordjamshidi:
LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. CoRR abs/2209.12723 (2022) - [i17]Roshanak Mirzaee, Parisa Kordjamshidi:
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning. CoRR abs/2210.16952 (2022) - [i16]Guangyue Xu, Parisa Kordjamshidi, Joyce Chai:
Prompting Large Pre-trained Vision-Language Models For Compositional Concept Learning. CoRR abs/2211.05077 (2022) - [i15]Joseph D. Romain, Huiyi Liu, Wei Peng, Jingbo Meng, Parisa Kordjamshidi:
Misinformation Detection using Persuasive Writing Strategies. CoRR abs/2211.05985 (2022) - 2021
- [c31]Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Parisa Kordjamshidi:
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning. EMNLP (Demos) 2021: 231-241 - [c30]Chen Zheng
, Parisa Kordjamshidi:
Relational Gating for "What If" Reasoning. IJCAI 2021: 4015-4022 - [c29]Hossein Rajaby Faghihi, Parisa Kordjamshidi:
Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events. NAACL-HLT 2021: 4560-4570 - [c28]Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, Parisa Kordjamshidi:
SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning. NAACL-HLT 2021: 4582-4598 - [c27]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) 2021: 319-324 - [i14]Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal, Parisa Kordjamshidi:
Latent Alignment of Procedural Concepts in Multimodal Recipes. CoRR abs/2101.04727 (2021) - [i13]Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, Parisa Kordjamshidi:
SpartQA: : A Textual Question Answering Benchmark for Spatial Reasoning. CoRR abs/2104.05832 (2021) - [i12]Hossein Rajaby Faghihi, Parisa Kordjamshidi:
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events. CoRR abs/2104.07635 (2021) - [i11]Yue Zhang, Quan Guo, Parisa Kordjamshidi:
Towards Navigation by Reasoning over Spatial Configurations. CoRR abs/2105.06839 (2021) - [i10]Chen Zheng, Parisa Kordjamshidi:
Relational Gating for "What If" Reasoning. CoRR abs/2105.13449 (2021) - [i9]Guangyue Xu, Parisa Kordjamshidi, Joyce Y. Chai:
Zero-Shot Compositional Concept Learning. CoRR abs/2107.05176 (2021) - [i8]Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi:
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning. CoRR abs/2108.12370 (2021) - 2020
- [j7]Benyamin Ahmadnia, Bonnie J. Dorr, Parisa Kordjamshidi:
Knowledge Graphs Effectiveness in Neural Machine Translation Improvement. Comput. Sci. 21(3) (2020) - [c26]Chen Zheng, Quan Guo, Parisa Kordjamshidi:
Cross-Modality Relevance for Reasoning on Language and Vision. ACL 2020: 7642-7651 - [c25]Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens:
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks. EMNLP (Tutorial Abstracts) 2020: 28-33 - [c24]Chen Zheng, Parisa Kordjamshidi:
SRLGRN: Semantic Role Labeling Graph Reasoning Network. EMNLP (1) 2020: 8881-8891 - [c23]Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi:
Inference-Masked Loss for Deep Structured Output Learning. IJCAI 2020: 2754-2761 - [c22]Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. LREC 2020: 5855-5864 - [i7]Chen Zheng, Quan Guo, Parisa Kordjamshidi:
Cross-Modality Relevance for Reasoning on Language and Vision. CoRR abs/2005.06035 (2020) - [i6]Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Z. Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. CoRR abs/2007.09557 (2020) - [i5]Chen Zheng, Parisa Kordjamshidi:
SRLGRN: Semantic Role Labeling Graph Reasoning Network. CoRR abs/2010.03604 (2020)
2010 – 2019
- 2019
- [j6]Asmamaw Gebrehiwot, Leila Hashemi Beni, Gary Thompson, Parisa Kordjamshidi, Thomas E. Langan:
Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data. Sensors 19(7): 1486 (2019) - [c21]Hamid R. Karimian, Kevin J. Pollard, Michael J. Moore, Parisa Kordjamshidi:
Semantic Segmentation of Microengineered Neural Tissues. EMBC 2019: 955-960 - [i4]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. CoRR abs/1906.07809 (2019) - 2018
- [j5]Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [c20]Benyamin Ahmadnia, Parisa Kordjamshidi, Gholamreza Haffari:
Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario. ICMLA 2018: 1209-1213 - [c19]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Systems AI: A Declarative Learning Based Programming Perspective. IJCAI 2018: 5464-5471 - [c18]Taher Rahgooy, Umar Manzoor, Parisa Kordjamshidi:
Visually Guided Spatial Relation Extraction from Text. NAACL-HLT (2) 2018: 788-794 - [i3]Yue Zhang, Parisa Kordjamshidi:
PE-TU Participation at TAC 2018 Drug-Drug Interaction Extraction from Drug Labels. TAC 2018 - 2017
- [c17]Parisa Kordjamshidi, Taher Rahgooy, Marie-Francine Moens, James Pustejovsky, Umar Manzoor, Kirk Roberts:
CLEF 2017: Multimodal Spatial Role Labeling Task Working Notes. CLEF (Working Notes) 2017 - [c16]Parisa Kordjamshidi, Taher Rahgooy, Marie-Francine Moens, James Pustejovsky, Umar Manzoor, Kirk Roberts:
CLEF 2017: Multimodal Spatial Role Labeling (mSpRL) Task Overview. CLEF 2017: 367-376 - [c15]Parisa Kordjamshidi, Taher Rahgooy, Umar Manzoor:
Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming. SPNLP@EMNLP 2017: 33-43 - [i2]Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi, Christos Christodoulopoulos, Mark Sammons, Saurabh Sinha, Dan Roth:
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks. CoRR abs/1707.07794 (2017) - 2016
- [j4]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [c14]Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth:
Better call Saul: Flexible Programming for Learning and Inference in NLP. COLING 2016: 3030-3040 - [c13]Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth:
EDISON: Feature Extraction for NLP, Simplified. LREC 2016 - [e1]Parisa Kordjamshidi:
Declarative Learning Based Programming, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Technical Report WS-16-07, AAAI Press 2016 [contents] - [i1]Oswaldo Ludwig, Xiao Liu, Parisa Kordjamshidi, Marie-Francine Moens:
Deep Embedding for Spatial Role Labeling. CoRR abs/1603.08474 (2016) - 2015
- [j3]Parisa Kordjamshidi, Dan Roth, Marie-Francine Moens:
Structured learning for spatial information extraction from biomedical text: bacteria biotopes. BMC Bioinform. 16: 129:1-129:15 (2015) - [j2]Parisa Kordjamshidi, Marie-Francine Moens:
Global machine learning for spatial ontology population. J. Web Semant. 30: 3-21 (2015) - [c12]Parisa Kordjamshidi, Dan Roth, Hao Wu:
Saul: Towards Declarative Learning Based Programming. AAAI Fall Symposia 2015: 12- - [c11]Wouter Massa, Parisa Kordjamshidi, Thomas Provoost, Marie-Francine Moens:
Machine Reading of Biological Texts - Bacteria-Biotope Extraction. BIOINFORMATICS 2015: 55-64 - [c10]Parisa Kordjamshidi, Wouter Massa, Thomas Provoost, Marie-Francine Moens:
Machine Reading for Extraction of Bacteria and Habitat Taxonomies. BIOSTEC (Selected Papers) 2015: 239-255 - [c9]Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, Dan Roth:
Improving a Pipeline Architecture for Shallow Discourse Parsing. CoNLL Shared Task 2015: 78-83 - [c8]Parisa Kordjamshidi, Dan Roth, Hao Wu:
Saul: Towards Declarative Learning Based Programming. IJCAI 2015: 1844-1851 - [c7]James Pustejovsky, Parisa Kordjamshidi, Marie-Francine Moens, Aaron Levine, Seth Dworman, Zachary Yocum:
SemEval-2015 Task 8: SpaceEval. SemEval@NAACL-HLT 2015: 884-894 - 2014
- [c6]Goran Glavas, Jan Snajder, Marie-Francine Moens, Parisa Kordjamshidi:
HiEve: A Corpus for Extracting Event Hierarchies from News Stories. LREC 2014: 3678-3683 - 2013
- [b1]Parisa Kordjamshidi:
Structured Machine Learning for Mapping Natural Language to Spatial Ontologies (Gestructureerd machinaal leren voor het omzetten van natuurlijke taal naar ruimtelijke ontologieën). Katholieke Universiteit Leuven, Belgium, 2013 - [c5]Oleksandr Kolomiyets, Parisa Kordjamshidi, Marie-Francine Moens, Steven Bethard:
SemEval-2013 Task 3: Spatial Role Labeling. SemEval@NAACL-HLT 2013: 255-262 - 2012
- [c4]Parisa Kordjamshidi, Steven Bethard, Marie-Francine Moens:
SemEval-2012 Task 3: Spatial Role Labeling. SemEval@NAACL-HLT 2012: 365-373 - 2011
- [j1]Parisa Kordjamshidi, Martijn van Otterlo, Marie-Francine Moens:
Spatial role labeling: Towards extraction of spatial relations from natural language. ACM Trans. Speech Lang. Process. 8(3): 4:1-4:36 (2011) - [c3]Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt:
Relational Learning for Spatial Relation Extraction from Natural Language. ILP 2011: 204-220 - 2010
- [c2]Parisa Kordjamshidi, Martijn van Otterlo, Marie-Francine Moens:
Spatial Role Labeling: Task Definition and Annotation Scheme. LREC 2010
2000 – 2009
- 2007
- [c1]Guy De Tré, Tom Matthé, Parisa Kordjamshidi, Marysa Demoor:
On the Use of Case Based Reasoning Techniques in Flexible Querying. DEXA Workshops 2007: 345-349
Coauthor Index
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