Parisa Kordjamshidi

Orcid: 0000-0002-4606-1824

Affiliations:
  • Michigan State University, USA
  • Tulane University, USA (former)
  • University of Illinois at Urbana-Champaign, USA (former)
  • Katholieke Universiteit Leuven, Department of Computer Science, Belgium (former)


According to our database1, Parisa Kordjamshidi authored at least 81 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities.
CoRR, 2024

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models.
CoRR, 2024

Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs.
CoRR, 2024

Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models.
CoRR, 2024

SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding.
CoRR, 2024

Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA.
CoRR, 2024

Neuro-symbolic Training for Reasoning over Spatial Language.
CoRR, 2024

A Survey on Compositional Learning of AI Models: Theoretical and Experimetnal Practices.
CoRR, 2024

Find The Gap: Knowledge Base Reasoning For Visual Question Answering.
CoRR, 2024

Probabilistic Reasoning in Generative Large Language Models.
CoRR, 2024

AgXQA: A benchmark for advanced Agricultural Extension question answering.
Comput. Electron. Agric., 2024

GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Neuro-symbolic Tuning for Multi-hop Reasoning over Spatial Language.
Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Narrowing the Gap between Vision and Action in Navigation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

NavHint: Vision and Language Navigation Agent with a Hint Generator.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Teaching Probabilistic Logical Reasoning to Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Consistent Joint Decision-Making with Heterogeneous Learning Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Using Persuasive Writing Strategies to Explain and Detect Health Misinformation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments.
CoRR, 2023

Dual-Phase Models for Extracting Information and Symbolic Reasoning: A Case-Study in Spatial Reasoning.
Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Spatial and Temporal Reasoning with LLMs for Natural Language Comprehension and Grounding.
Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The Role of Semantic Parsing in Understanding Procedural Text.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

VLN-Trans: Translator for the Vision and Language Navigation Agent.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GLUECons: A Generic Benchmark for Learning under Constraints.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Declarative Learning-Based Programming as an Interface to AI Systems.
Frontiers Artif. Intell., 2022

Misinformation Detection using Persuasive Writing Strategies.
CoRR, 2022

Prompting Large Pre-trained Vision-Language Models For Compositional Concept Learning.
CoRR, 2022

Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dynamic Relevance Graph Network for Knowledge-Aware Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Explicit Object Relation Alignment for Vision and Language Navigation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

PYLON: A PyTorch Framework for Learning with Constraints.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning.
CoRR, 2021

Zero-Shot Compositional Concept Learning.
CoRR, 2021

Towards Navigation by Reasoning over Spatial Configurations.
CoRR, 2021

Latent Alignment of Procedural Concepts in Multimodal Recipes.
CoRR, 2021

SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Relational Gating for "What If" Reasoning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020
From Spatial Relations to Spatial Configurations.
CoRR, 2020

Knowledge Graphs Effectiveness in Neural Machine Translation Improvement.
Comput. Sci., 2020

From Spatial Relations to Spatial Configurations.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Inference-Masked Loss for Deep Structured Output Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SRLGRN: Semantic Role Labeling Graph Reasoning Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2020

Cross-Modality Relevance for Reasoning on Language and Vision.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data.
Sensors, 2019

Semantic Segmentation of Microengineered Neural Tissues.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.
AI Mag., 2018

PE-TU Participation at TAC 2018 Drug-Drug Interaction Extraction from Drug Labels.
Proceedings of the 2018 Text Analysis Conference, 2018

Visually Guided Spatial Relation Extraction from Text.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Systems AI: A Declarative Learning Based Programming Perspective.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks.
CoRR, 2017

Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

CLEF 2017: Multimodal Spatial Role Labeling (mSpRL) Task Overview.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

CLEF 2017: Multimodal Spatial Role Labeling Task Working Notes.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Deep Embedding for Spatial Role Labeling.
CoRR, 2016

Reports of the 2016 AAAI Workshop Program.
AI Mag., 2016

EDISON: Feature Extraction for NLP, Simplified.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Better call Saul: Flexible Programming for Learning and Inference in NLP.
Proceedings of the COLING 2016, 2016

2015
Global machine learning for spatial ontology population.
J. Web Semant., 2015

Structured learning for spatial information extraction from biomedical text: bacteria biotopes.
BMC Bioinform., 2015

SemEval-2015 Task 8: SpaceEval.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Saul: Towards Declarative Learning Based Programming.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Improving a Pipeline Architecture for Shallow Discourse Parsing.
Proceedings of the 19th Conference on Computational Natural Language Learning: Shared Task, 2015

Machine Reading of Biological Texts - Bacteria-Biotope Extraction.
Proceedings of the BIOINFORMATICS 2015, 2015

Machine Reading for Extraction of Bacteria and Habitat Taxonomies.
Proceedings of the Biomedical Engineering Systems and Technologies, 2015

2014
HiEve: A Corpus for Extracting Event Hierarchies from News Stories.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
Structured Machine Learning for Mapping Natural Language to Spatial Ontologies (Gestructureerd machinaal leren voor het omzetten van natuurlijke taal naar ruimtelijke ontologieën).
PhD thesis, 2013

SemEval-2013 Task 3: Spatial Role Labeling.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012
SemEval-2012 Task 3: Spatial Role Labeling.
Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

2011
Spatial role labeling: Towards extraction of spatial relations from natural language.
ACM Trans. Speech Lang. Process., 2011

Relational Learning for Spatial Relation Extraction from Natural Language.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

2010
Spatial Role Labeling: Task Definition and Annotation Scheme.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

2007
On the Use of Case Based Reasoning Techniques in Flexible Querying.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007


  Loading...