Papers by Srinivas Sunkara
A Unified Approach to Entity-Centric Context Tracking in Social Conversations (2022.lrec-1)
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| Challenge: | Context Tracking is a computational task for human-human conversations . it involves identifying important entities and keeping track of their properties and relationships . |
| Approach: | They propose to use a human-human conversation corpus for context tracking with people and location annotations to model the conversation's context. |
| Outcome: | The proposed model is based on a large human-human conversation corpus with people and location annotations. |
ScreenQA: Large-Scale Question-Answer Pairs Over Mobile App Screenshots (2025.naacl-long)
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Yu-Chung Hsiao, Fedir Zubach, Gilles Baechler, Srinivas Sunkara, Victor Carbune, Jason Lin, Maria Wang, Yun Zhu, Jindong Chen
| Challenge: | Existing screen datasets focus on low-level structural and component understanding or on a much higher-level composite task such as navigation and task completion for autonomous agents. |
| Approach: | They propose to annotate 86k question-answer pairs over the RICO dataset to benchmark screen content understanding. |
| Outcome: | The proposed dataset covers full answers, short answer phrases, and corresponding UI contents with bounding boxes, enabling four subtasks to address various application scenarios. |
Towards Better Semantic Understanding of Mobile Interfaces (2022.coling-1)
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Srinivas Sunkara, Maria Wang, Lijuan Liu, Gilles Baechler, Yu-Chung Hsiao, Jindong Chen, Abhanshu Sharma, James W. W. Stout
| Challenge: | a dataset of 500k unique annotations is released to improve mobile accessibility and automation capabilities. |
| Approach: | They propose to use an annotation dataset to improve the accessibility of mobile UIs . they use images and view hierarchies to augment annotations for icons and their semantics - and use multimodal inputs to build models. |
| Outcome: | The proposed dataset shows that it can be used to improve UIs and categories on unseen apps. |