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07/18/2023
Traffic-Domain Video Question Answering with Automatic Captioning
Video Question Answering (VidQA) exhibits remarkable potential in facili...
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06/05/2023
A Study of Situational Reasoning for Traffic Understanding
Intelligent Traffic Monitoring (ITMo) technologies hold the potential fo...
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12/04/2022
Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
Understanding novel situations in the traffic domain requires an intrica...
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08/31/2022
Intelligent Traffic Monitoring with Hybrid AI
Challenges in Intelligent Traffic Monitoring (ITMo) are exacerbated by t...
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08/26/2022
Coalescing Global and Local Information for Procedural Text Understanding
Procedural text understanding is a challenging language reasoning task t...
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05/21/2022
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs
Self-supervision based on the information extracted from large knowledge...
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01/17/2022
Generalizable Neuro-symbolic Systems for Commonsense Question Answering
This chapter illustrates how suitable neuro-symbolic models for language...
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09/07/2021
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
Commonsense reasoning benchmarks have been largely solved by fine-tuning...
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01/12/2021
Dimensions of Commonsense Knowledge
Commonsense knowledge is essential for many AI applications, including t...
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12/19/2020
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
Conditional text generation has been a challenging task that is yet to s...
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11/07/2020
Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering
Recent developments in pre-trained neural language modeling have led to ...
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03/09/2020
Neuro-symbolic Architectures for Context Understanding
Computational context understanding refers to an agent's ability to fuse...
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10/30/2019
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Non-extractive commonsense QA remains a challenging AI task, as it requi...
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06/21/2018