1 code implementation • 25 Oct 2023 • Roshanak Mirzaee, Parisa Kordjamshidi
Spatial reasoning over text is challenging as the models not only need to extract the direct spatial information from the text but also reason over those and infer implicit spatial relations.
1 code implementation • 16 Feb 2023 • Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi
Recent research has shown that integrating domain knowledge into deep learning architectures is effective -- it helps reduce the amount of required data, improves the accuracy of the models' decisions, and improves the interpretability of models.
1 code implementation • 30 Oct 2022 • 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.
no code implementations • 17 Jan 2022 • Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee
This chapter illustrates how suitable neuro-symbolic models for language understanding can enable domain generalizability and robustness in downstream tasks.
2 code implementations • NAACL 2021 • Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, Parisa Kordjamshidi
This paper proposes a question-answering (QA) benchmark for spatial reasoning on natural language text which contains more realistic spatial phenomena not covered by prior work and is challenging for state-of-the-art language models (LM).
1 code implementation • 12 Apr 2021 • Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, Parisa Kordjmashidi
This paper proposes a question-answering (QA) benchmark for spatial reasoning on natural language text which contains more realistic spatial phenomena not covered by prior work and is challenging for state-of-the-art language models (LM).
1 code implementation • WS 2020 • Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal, Parisa Kordjamshidi
We propose a novel alignment mechanism to deal with procedural reasoning on a newly released multimodal QA dataset, named RecipeQA.
Ranked #1 on
Question Answering
on RecipeQA