Papers with computational systems
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik (P19-2)
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| Challenge: | a recent study has called into question the utility of linguistics in the development of computational systems. |
| Approach: | a new research proposes to integrate linguistics into a neural morphological analyzer for a polysynthetic language . the researchers propose to use linguistic elements to improve performance in low-resource settings . |
| Outcome: | The proposed analysis shows that linguistics can improve performance in low-resource and high-resolution settings. |
Automatically Extracting Qualia Relations for the Rich Event Ontology (C18-1)
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| Challenge: | a new study uses qualia relations extracted from the Suggested Upper Merged Ontology to extract information about entities . human annotators find qualia relationships and origins of the information to be reasonable . |
| Approach: | They propose to extract qualia from the Generative Lexicon to extract quealia . they assume the theoretical framework of the Generative Lexicons . |
| Outcome: | The proposed method extracts information from the Suggested Upper Merged Ontology (SUMO) human annotators find the extracted information to be reasonable, the authors show . |
Strategies and Challenges for Crowdsourcing Regional Dialect Perception Data for Swiss German and Swiss French (L18-1)
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| Challenge: | a crowdsourcing project in the field of Swiss German dialects and Swiss French accents collects linguistic data. |
| Approach: | a gamified crowdsourcing platform was set up to collect linguistic data on Swiss German and Swiss French accents. |
| Outcome: | a gamified crowdsourcing platform collects linguistic data on Swiss German and Swiss French accents . the platform has provided 470,000 localizations, with 7,500 registered users and 30,000 anonymous visitors . |
Intention and Face in Dialog (2024.lrec-main)
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| Challenge: | a theory of politeness focuses on how intentions mediate the planning of turns which impose upon face. |
| Approach: | They propose to train a model which classifies intention and politeness using existing corpus and a new model which incorporates annotations. |
| Outcome: | The proposed model improves face act detection for minority classes and points to a close relationship between aspects of face and intent. |