Papers with term extraction
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains (P19-1)
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| Challenge: | Existing models for diachronic and synchronic detection of lexical semantic divergences are superficial and lack of comparison. |
| Approach: | They propose to extend benchmark models on a common state-of-the-art evaluation task . they also demonstrate that the same evaluation task and modelling approaches can be utilised for synchronic detection of domain-specific sense divergences in the field of term extraction. |
| Outcome: | The proposed model can be utilised for the detection of domain-specific sense divergences in the field of term extraction. |
A Term Extraction Approach to Survey Analysis in Health Care (2020.lrec-1)
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| Challenge: | a new study examines the impact of customer feedback on health care organizations . the results of the 2017 Irish National Inpatient Survey are compared to a manual framework . |
| Approach: | They propose an approach to patient experience using free text questions from the 2017 Irish National Inpatient Survey campaign. |
| Outcome: | The proposed approach to patient experience is based on the results of the 2017 Irish National Inpatient Survey. |
A Gold Standard for Multilingual Automatic Term Extraction from Comparable Corpora: Term Structure and Translation Equivalents (L18-1)
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| Challenge: | Terms are notoriously difficult to identify, both automatically and manually. |
| Approach: | They propose a method to annotate terms manually from a comparable corpus . they show that the gold standard provides a tool for evaluation and a rich source of information . |
| Outcome: | The proposed method provides a tool for evaluation and rich source of information about terms. |
Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology (2020.lrec-1)
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| Challenge: | Existing ontologies for Arabic are difficult due to the lack of resources and the nature of the Arabic language. |
| Approach: | They propose to build an Arabic ontology that integrates scientific vocabularies with informal equivalents. |
| Outcome: | The proposed ontology integrates scientific vocabularies with informal equivalents in Arabic . it will be automatically generated but the results will be evaluated by a domain expert . |