Papers by Yaman Kumar
An Annotated Dataset of Discourse Modes in Hindi Stories (2020.lrec-1)
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Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Amanda Stent
| Challenge: | Using a new corpus of sentences from Hindi short stories, we analyze the annotations for five different discourse modes argumentative, narrative, descriptive, dialogic and informative. |
| Approach: | They propose to annotate sentences from Hindi short stories for five different discourse modes argumentative, narrative, descriptive, dialogic and informative. |
| Outcome: | The proposed corpus has a high inter-annotator agreement (0.87 k-alpha) and is able to capture the nuances of the embedded discourse structures. |
Synthesizing Human Gaze Feedback for Improved NLP Performance (2023.eacl-main)
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| Challenge: | Prior work on eye tracking and NLP reveals that human scanpaths can aid in understanding and performance of NLP models. |
| Approach: | They propose a model for generating human scanpaths over text that approximates meaningful cognitive signals in human gaze patterns. |
| Outcome: | The proposed model can approximate meaningful cognitive signals in human gaze patterns. |