Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation (N19-4)
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| Challenge: | Abbreviation Explorer helps to identify long-forms that are easily confused . it can also pinpoint likely causes such as limitations of normalization, language switching, or inconsistent typing. |
| Approach: | They propose a system that supports interactive exploration of abbreviations that are challenging for Unsupervised Abbreviation Disambiguation. |
| Outcome: | The proposed system can identify long-forms that are easily confused and pinpoint likely causes . it can also identify which long-terms would benefit from additional input text . the proposed rules can be easily applied to existing vector spaces to improve performance while avoiding the cost of retraining. |
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| Challenge: | ad hoc abbreviations are difficult to interpret for patients and nonspecialists. |
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| Challenge: | Acronyms and abbreviations are the short-form of longer phrases and are frequently used in writing but they can also present challenges for newcomers. |
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| Challenge: | Existing acronym disambiguation benchmarks are limited to specific domains . a study on a Microsoft question answering forum found that only 7% of acronyms co-occur with their corresponding long forms, which confuses the readers about the meaning of a text. |
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| Challenge: | Acronyms are short forms of phrases that facilitate conveying lengthy sentences in documents. |
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| Challenge: | Acronyms are abbreviations formed from the initial components of words or phrases . acronyms can be difficult to understand for people who are not familiar with the subject matter . |
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| Challenge: | Existing datasets for abbreviation detection and extraction are limited. |
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| Challenge: | Currently, high-quality corpora of this type are rare and often of comparably small size. |
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Ishani Mondal, Michelle Yuan, Anandhavelu N, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Boyd-Graber
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