Papers by Valerie Shalin
Evaluating the Deductive Competence of Large Language Models (2024.naacl-long)
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| Challenge: | Existing large language models have limited abilities to solve deductive reasoning problems . performance differences between conditions do not improve overall performance . |
| Approach: | They investigate whether several large language models can solve a deductive reasoning problem in their conventional form. |
| Outcome: | The proposed models can solve a classic type of deductive reasoning problem in their conventional form. |
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models (C18-1)
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| Challenge: | Location name extraction tool (LNEx) is a statistical language for extracting location names from informal and unstructured social media data. |
| Approach: | They propose a location name extraction tool that extracts location names from social media data . they use n-gram statistics and location-related dictionaries to evaluate an observed n in targeted text . |
| Outcome: | The proposed tool outperforms state-of-the-art taggers on 4,500 event-specific tweets . it improves the average F-Score by 33-179%, outperforming all tagger . |