Papers by Vivi Nastase
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines (D19-1)
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| Challenge: | Using dialog agents, we can collect family history data from in-person consultations and crowdsource it to a genetic counselor. |
| Approach: | They propose to use natural language interactions annotated with medical family histories to collect information from a genetic counselor and crowdsourcing. |
| Outcome: | The proposed system averages 0.87 on complex sentences on the targeted relations. |
BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks (2023.eacl-main)
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| Challenge: | Existing benchmarks for deep learning are based on massive amounts of data, which are effective in hiding some of the shallowness of the learned models. |
| Approach: | They propose to use a French dataset to learn the underlying rules of subject-verb agreement in sentences, inspired by visual IQ tests known as Raven’s Progressive Matrices. |
| Outcome: | The proposed method is based on Raven’s Progressive Matrices, a visual IQ test, and a dataset built using the BLM framework. |
DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion (L18-1)
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| Challenge: | a text fragment is discarded when it has a smaller context, causing it to acquire a new meaning or even become false. |
| Approach: | They build a dataset to study the effect of modifiers on the larger context . they focus on single-word modifiers, the smallest unit that can be considered disposable . |
| Outcome: | The proposed dataset aims to determine whether modifiers can be removed without undesirable consequences. |
Punctuation as Native Language Interference (C18-1)
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| Challenge: | Numerous aspects of written language have been studied for native language identification (NLI) but its impact has not been studied. |
| Approach: | They propose to use punctuation marks as indicators of native language . they propose to apply them to native language identification . |
| Outcome: | The proposed methods support the hypothesis that punctuation marks are persistent and robust indicators of the native language of the author, even when a high proficiency level in a non-native language is achieved. |
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods (L18-1)
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| Challenge: | Optical Character Recognition (OCR) can produce a range of errors depending on the quality of the original document. |
| Approach: | They applied a sequence-to-sequence machine translation system to correct word-single-word OCR errors in scientific texts from the ACL collection with an estimated precision and recall above 0.95 on test data. |
| Outcome: | The proposed system corrects word-segmentation OCR errors with an estimated precision and recall above 0.95 on test data. |
BLM-s/lE: A structured dataset of English spray-load verb alternations for testing generalization in LLMs (2023.findings-emnlp)
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| Challenge: | Current NLP models are achieving performance comparable to human capabilities on well-established benchmarks. |
| Approach: | They propose a BLM task to identify a missing element in a linguistic pattern from a list of candidate options based on a given matrix. |
| Outcome: | The proposed framework is based on the spray-load verb alternations in English as a case study. |