activity
20202022
most citedDynamic Relevance Graph Network for Knowledge-Aware Question Answering

7 citations · 11 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CL2022

Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning

Roshanak Mirzaee, Parisa Kordjamshidi

Recent research shows synthetic data as a source of supervision helps pretrained language models (PLM) transfer learning to new target tasks/domains. However, this idea is less exp…

cs.CV20221 cited

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation

Yue Zhang, Parisa Kordjamshidi

Understanding spatial and visual information is essential for a navigation agent who follows natural language instructions. The current Transformer-based VLN agents entangle the or…

cs.CL20227 cited

Dynamic Relevance Graph Network for Knowledge-Aware Question Answering

Chen Zheng, Parisa Kordjamshidi

This work investigates the challenge of learning and reasoning for Commonsense Question Answering given an external source of knowledge in the form of a knowledge graph (KG). We pr…

cs.LG2021

DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning

Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok +3

We demonstrate a library for the integration of domain knowledge in deep learning architectures. Using this library, the structure of the data is expressed symbolically via graph d…

cs.CL2021

Relational Gating for "What If" Reasoning

Chen Zheng, Parisa Kordjamshidi

This paper addresses the challenge of learning to do procedural reasoning over text to answer "What if..." questions. We propose a novel relational gating network that learns to fi…

cs.CL2021

Towards Navigation by Reasoning over Spatial Configurations

Yue Zhang, Quan Guo, Parisa Kordjamshidi

We deal with the navigation problem where the agent follows natural language instructions while observing the environment. Focusing on language understanding, we show the importanc…