Publication

Tutorials:

Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens and Qiang Ning. Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding , In NAACL-2024.

Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens. Spatial Language Understanding: Representation, Reasoning, and Grounding, The 29th International conference on computational linguistics (COLING-2022).

Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens. Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2020). [Documents]

Papers:

NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization Danial Kamlai, Elham Barezi, Parisa Kordjamshidi, AAAI-2025.

Reasoning over Uncertain Text by Generative Large Language Models, Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi, AAAI-2025.

Vision-and-Language Navigation Today and Tomorrow:A Survey in the Era of Foundation Models Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi. Transactions on Machine Learning Research (TMLR), 2024.

Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi. Transactions on Machine Learning Research (TMLR), 2024.

AgXQA: A Benchmark for Advanced Agricultural Extension Question Answering Josue Kpodo, Parisa Kordjamshidi, A. Pouyan Nejadhashemi, Computers and Electronics in Agriculture, Elsevier, Oct. 2024.

Narrowing the Gap between Vision and Action in Navigation Yue Zhang, Parisa Kordjamshidi, Proceedings of ACM Multimedia Conference, Oct. 2024.

Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language Hossein Rajabi Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid Karimian, Parisa Kordjamshidi, Neural-Symbolic Learning and Reasoning: 18th International Conference, NeSy 2024, Proceedings, Part II.

Teaching Probabilistic Logical Reasoning to Transformers, Aliakbar Nafar, Brent Venable, Parisa Kordjamshidi, EACL-2024, Findings.

Consistent Joint Decision-Making with Heterogeneous Learning Models, Hossein Rajabi Faghihi, and Parisa Kordjamshidi, EACL-2024, Findings.

NavHint: Vision and Language Navigation Agent with a Hint Generator, Yue Zhang, Quan Guo, Parisa Kordjamshidi, EACL-2024, Findings.

GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning, Guangyue Xu, Joyce Chai and Parisa Kordjamshidi, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.

MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition, Guangyue Xu, Joyce Chai and Parisa Kordjamshidi, EMNLP-2023, Findings.

VLN-Trans: Translator for the Vision and Language Navigation Agent , Yue Zhang, Parisa Kordjamshidi, The 61st Annual Meeting of the Association for Computational Linguistics (ACL-2023).

Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning, Roshanak Mirzaee1 and Parisa Kordjamshidi, EMNLP-2023, Findings.

Investigating the Role of Semantic Parsing in Understanding Procedural Text, Hossein Rajaby Faghihi, Parisa Kordjamshidi, Choh Man Teng and James Allen, The 2023 European conference in the field of computational linguistics (EACL-2023 Findings).

GLUECons: A Generic Benchmark for Learning Under Constraints, Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, and Parisa Kordjamshidi, The 37th Conference of Artificial Intelligence (AAAI-2023).

Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments, Danial Kamali, Parisa Kordjamshidi, EMNLP-2023 workshops, The first workshop on (benchmarking) generalization in NLP (GenBench, 2023).

Transfer Learning with Synthetic Corpora for Spatial Semantic Role Labeling and Reasoning, Roshanak Mirzaee and Parisa Kordjamshidi. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-2022).

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation, Yue Zhang and Parisa Kordjamshidi. The 29th International conference on Computational Linguistics (COLING-2022).

Dynamic Relevance Graph Network for Knowledge-Aware Question Answering, Chen Zheng and Parisa Kordjamshidi. The 29th International conference on Computational Linguistics (COLING-2022).

Explicit Object Relation Alignment for Vision and Language Navigation, Yue Zhang and Parisa Kordjamshidi. 60th Annual Meeting of the Association for Computational Linguistics Student Research Workshop (ACL SRW 2022).

Declarative Learning-Based Programming as an Interface to AI Systems, Parisa Kordjamshidi, Dan Roth and Kristian Kersting. Frontiers in Artificial Intelligence, 2022.

Relevant CommonSense Subgraphs for "What if ..." Procedural Reasoning, Chen Zheng and Parisa Kordjamshidi. 60th Annual Meeting of the Association for Computational Linguistics (ACL-2022 findings).

PYLON: A PyTorch Framework for Learning with Constraints. Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh. 36th Conference of Artificial Intelligence (AAAI-2022 demo track).

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, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021), Demo Track. [Paper]

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-2021, Demonstrations.

Chen Zheng and Parisa Kordjamshidi. Relational Gating for ''What If'' Reasoning, The 30th International Joint Conference on Artificial Intelligence (IJCAI-2021). [Paper]

Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, and Parisa Kordjamshidi. SpartQA: A Textual Question Answering Benchmark for Spatial Reasoning, The 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2021). [Paper]

Hossein Rajaby Faghihi and Parisa Kordjamshidi. Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events, The 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2021). [Paper]

Yue Zhang, Quan Guo and Parisa Kordjamshidi. Towards Navigation by Reasoning over Spatial Configurations, ACL-2021 workshop on SpLU-RoboNLP. [Paper]

Guangyue Xu, Parisa Kordjamshidi and Joyce Chai. Zero-Shot Compositional Concept Learning, ACL-2021 workshop on MetaNLP. [Paper]

Chen Zheng and Parisa Kordjamshidi. SRLGRN: Semantic Role Labeling Graph Reasoning Network, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2020). [Paper]

Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi. Inference-Masked Loss for Deep Structured Output Learning, the 29th International Joint Conference on Artificial Intelligence (IJCAI-2020). [Paper]

Chen Zheng, Quan Guo, Parisa Kordjamshidi. Cross-Modality Relevance for Reasoning on Language and Vision, Annual Conference of the Association for Computational Linguistics (ACL-2020). [Paper]

Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal and Parisa Kordjamshidi, Latent Alignment of Procedural Concepts in Multimodal Recipes. Workshop on Advances in Language and Vision Research at (ACL-2020). [Paper]

Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Martha Palmer and Dan Roth. From Spatial Relations to Spatial Configurations, Language Resources and Evaluation Conference (LREC-2020).[Paper]

Hamid R. Karimian, Kevin J. Pollard, Michael J. Moore and Parisa Kordjamshidi. Neural Learning Representations to Augment Statistical Analysis of Drug Treatment Effects on Bioengineered Microphysiological Nerve Tissue, AAAI-2020 workshop on Health Intelligence. [Paper]

Benyamin Ahmadnia, Bonnie J. Dorr, Parisa Kordjamshidi. Knowledge Graphs Effectiveness in Neural Machine Translation Improvement, Computer Science, Volume 21, Number 3 (4 July 2020). [Paper]

Quan Guo, Andrzej Uszok, and Parisa Kordjamshidi. From Ontologies to Learning-Based Programs. IJCAI-2019 workshop on Declarative Learning-based programming, 2019. [paper]

Parisa Kordjamshidi, Dan Roth, Kristian Kersting. Declarative Learning-Based Programming as an Interface to AI Systems, 2019. [arXiv]

HR Karimian, KJ Pollard, MJ Moore, P Kordjamshidi. Semantic Segmentation of Microengineered Neural Tissues. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), to be published, 2019.

Pollard KJ, Karimian HR, Curley LJ, Kordjamshidi P, and Moore MJ. Rapid in-vitro detection of drug-induced peripheral neuropathy through electrophysiological and histological analysis of 3D microphysiological "nerve-on-a-chip" cultures. Society for Neuroscience Conference, Chicago, IL, October 19-23, 2019.

Gebrehiwot, Asmamaw; Hashemi-Beni, Leila; Thompson, Gary; Kordjamshidi, Parisa; Langan, Thomas E. 2019. Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data. Sensors 19, no. 7: 1486, 2019.

Parisa Kordjamshidi, Dan Roth, Kristian Kersting. Systems AI: A Declarative Learning Based Programming Perspective, IJCAI-ECAI-18, Stockholm, Sweden, July 13-19, 2018. [Download]

Benyamin Ahmadnia, Parisa Kordjamshidi, Reza Haffari, Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario, ICMLA, 2018.

Umar Manzoor, Parisa Kordjamshidi. Anaphora Resolution for Improving Spatial Relation Extraction from Text, The first international workshop on Spatial Language Understanding (SpLU-2018), co-located with NAACL HLT 2018. New Orleans, June 2018. [Download]

Taher Rahgooy, Umar Manzoor, Parisa Kordjamshidi, Visually Guided Spatial Relation Extraction from Text, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2018, short paper. New Orleans, June 2018. [Download]

Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi, Christos Christodoulopoulos, Mark Sammons, Saurabh Sinha and Dan Roth. Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks. UAI-2017, Workshop on Statistical Relational AI (StarAI). [Download]

P. Kordjamshidi, T. Rahgooy, U. Manzoor. Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming. EMNLP-2017, Workshop on Structured Prediction for NLP. Download

P. Kordjamshidi, T. Rahgooy, M-F. Moens, J. Pustejovsky, U. Manzoor and K. Roberts. CLEF 2017: Multimodal Spatial Role Labeling (mSpRL) Task Overview. LNCS volume 10456 on Experimental IR Meets Multilinguality, Multimodality, and Interaction; Proceedings of 8th International Conference of the CLEF Association. Download

Kordjamshidi, P., van Otterlo, M., Moens, M.F. (2017). Spatial role labeling annotation scheme. In: Pustejovsky J., Ide N. (Eds.), Handbook of Linguistic Annotation Springer Verlag. Download

P. Kordjamshidi, C. Christodoulopoulos, D. Khashabi, B. Mangipudi, S. Singh, D. Roth. Better call Saul: Flexible Programming for Learning and Inference in NLP, COLING-2016. Download

M. Sammons, C. Christodoulopoulos, P. Kordjamshidi, D. Khashabi, V. Srikumar and D. Roth. EDISON: Feature Extraction for NLP, Simplified. LREC-2016.

Kordjamshidi, P., Roth, D., Wu, H.(2015). Saul: Towards declarative learning based programming. IJCAI2015. Download

Kordjamshidi, P., Roth, D., Moens, M.F. (2015). Structured learning for spatial information extraction from biomedical text: bacteria biotopes. BMC Bioinformatics 2015, 16:129. Download

Kordjamshidi, P., Moens, M.F. (2015). Global machine learning for spatial ontology population. Journal of Web Semantics, 30, 3-21. Download

Kordjamshidi, P., Massa, W., Provoost, T., Moens, M.F. (2015). Machine Reading for Extraction of Bacteria and Habitat Taxonomies. Lecture Notes in Computer Science (LNCS), Communications in Computer and Information Science (CCIS) series, Springer-Verlag, 2015.

Y. Song, H. Peng, P. Kordjamshidi, M. Sammons, D. Roth (2015). Improving a Pipeline Architecture for Shallow Discourse Parsing. Proc. of the Conference on Computational Natural Language Learning (CoNLL2015) Shared Task.

Pustejovsky J., Kordjamshidi P., Moens M.F., Levine A., Dworman S., Yocum Z., (2015). SemEval-2015 Task 8: SpaceEval. SemEval2015. Download

Massa, W., Kordjamshidi, P.,Provoost, T., Moens, M.F. (2015). Machine reading of biological texts: bacteria-biotope extraction. Proceedings of the 6th international conference on bioinformatics models, methods and algorithms. 8th international joint conference on biomedical engineering systems and technologies. Lisbon, Portugal, 12-15 January 2015 (pp. 55-64) SCITEPRESS, 2015. Download

Glavas, G., Snajder, J.,Kordjamshidi, P., Moens, M.F. (2014). HiEve: A corpus for extracting event hierarchies from news stories. Proceedings of 9th language resources and evaluation conference. 9th language resources and evaluation conference. Reykjavik, Iceland, 26-31 May 2014 (pp. 3678-3683) ELRA, 2014. Download

Kordjamshidi, P., Moens, M.F. (sup.) (2013). Structured Machine Learning for Mapping Natural Language to Spatial Ontologies (Gestructureerd machinaal leren voor het omzetten van natuurlijke taal naar ruimtelijke ontologieën), 233 pp, July 2013. PhD thesis. Download

Kordjamshidi, P., Hois, J.,van Otterlo, M., Moens, M.F.(2013). Learning to interpret spatial natural language in terms of qualitative spatial relations. In: Tenbrink T., Wiener J., Claramunt C. (Eds.), bookseries: Series Explorations in Language and Space, Representing space in cognition: interrelations of behavior, language, and formal models Oxford University Press, 115-146.

Kolomiyets, O., Kordjamshidi, P.,Bethard, S., Moens, M.F. (2013). SemEval-2013 task 3: Spatial role labeling. Second joint conference on lexical and computational semantics (*SEM), Volume 2: Proceedings of the seventh international workshop on semantic evaluation (SemEval 2013). Second joint conference on lexical and computational semantics. Atlanta, USA, 14-15 June 2013 (pp. 255-266). East Stroudsburg, PA: ACL, 2013

Kordjamshidi, P., Moens, M.F. (2013). Designing constructive machine learning models based on generalized linear learning techniques. Proceedings of the NIPS workshop on constructive machine learning. NIPS workshop on constructive machine learning. Lake Tahoe, Nevada, USA, 10 December 2013 (pp. 1-5), 2013

Kordjamshidi, P., Moens, M.F. (2013). Structured machine learning for mapping natural language to spatial ontologies. International workshop on advances in regularization, optimization, kernel methods and support vector machines: theory and applications. Leuven, 8-19 July 2013, 2013.

Kordjamshidi, P., Bethard, S., Moens, M.F. (2012). SemEval-2012 task 3: Spatial role labeling. {*SEM 2012}: The First Joint Conference on Lexical and Computational Semantics -- Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation {(SemEval 2012)}: Vol. 2. SemEval-2012. Montreal- Canada, 7-8 June (pp. 365-373) ACL, 2012.

Kordjamshidi, P., Frasconi, P., van Otterlo, M., Moens, M.F., De Raedt, L. (2012). Relational learning for spatial relation extraction from natural language. In Muggleton, S. (Ed.), Tamaddoni-Nezhad, A. (Ed.), Lisi, F. (Ed.), Lecture notes in artificial intelligence: Vol. 7207. Inductive Logic Programming. Windsor, 31st July-3rd August (pp. 204-220). Berlin Heidelberg: Springer, 2012.

Kordjamshidi, P., Moens, M.F. (2012). Spatial role labeling using structured support vector machines. Proceedings of 21st Belgian-Dutch conference on machine learning (BeneLearn): vol. 21. Belgian-Dutch conference on machine learning (BeneLearn). Ghent, 24-25 May, 71-71, 2012.