How broad is that claim? Mapping Generalisation in NLP Research
Generalisations are common in scientific communication, even though they are semantically ambiguous. An automated method is needed to identify and categorise claims according to their level of generalisation, in order help detect an over-reliance on generalisations and possible misrepresentations of scientific findings. We introduce a comprehensive taxonomy of generalisations in the scientific domain, NLPGenX, which labels claims according to their level of generality and framing within the text. We operationalise this taxonomy with an LLM-powered framework, NLPGenA, that automatically classifies sentences from scientific articles into 5 different generalisation classes. We validate our f...
| Authors | Chenxin Diao, Nataliya Stepanova, Emily Allaway |
|---|---|
| Primary category | cs.CL |
| Published | 13 September 2026 |
| Last updated at source | 24 September 2026 |
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