Papers with graph based approach
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech (2024.acl-short)
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| Challenge: | Direct dependency parsing of the speech signal is proposed as a way of incorporating prosodic information into the parser and bypassing the limitations of a pipeline approach. |
| Approach: | They propose to use graph-based parsing and sequence labeling based parses to integrate prosodic information into the parser and bypass limitations of pipeline approaches. |
| Outcome: | The proposed graph based approach outperforms a pipeline approach on a large treebank of spoken french, despite having 30% fewer parameters. |
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit (D18-1)
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Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal
| Challenge: | a structured prediction framework is proposed to solve word segmentation and morphological tagging tasks in a free word order language. |
| Approach: | They propose a structured prediction framework that jointly solves word segmentation and morphological tagging tasks in Sanskrit. |
| Outcome: | The proposed model outperforms the state of the art with an F-Score of 96.92 (percentage improvement of 7.06%) while using less than one tenth of the task-specific training data. |
An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy (2022.emnlp-main)
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| Challenge: | Polysemy is the phenomenon where a single word form possesses two or more related senses. |
| Approach: | They propose an unsupervised framework to quantify polysemy for words in multiple languages . they use syntactic knowledge to infuse the framework with syntaktic knowledge . |
| Outcome: | The proposed framework is based on syntactic knowledge and is compared with existing methods in English, French and Spanish. |