Papers with definition extraction
Automated Discovery of Mathematical Definitions in Text (2020.lrec-1)
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| Challenge: | a recent study shows that definition extraction is inefficient for one-sentence definitions . definitions are used in many automatic text analysis tasks, including ontology matching and construction . |
| Approach: | They propose to use convolutional neural network and recurrent neural network to identify mathematical definitions from one sentence. |
| Outcome: | The proposed dataset shows that deep learning methods can identify definitions from mathematical texts. |
Mathematical Entities: Corpora and Benchmarks (2024.lrec-main)
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| Challenge: | a limited amount of annotated data is available for mathematical language processing . mathematics is a highly specialized domain with its own unique set of challenges . |
| Approach: | They provide annotated corpora that can be used to study the language of mathematics . they provide part-of-speech tags, lemmas, and dependency trees . |
| Outcome: | The proposed corpora provide part-of-speech tags, lemmas, and dependency trees . the learning assistant grants access to the content of the corporata in a context-sensitive manner . |