Papers by Nicole Macher
MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text (2022.findings-emnlp)
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| Challenge: | modal verbs are used for hedges, but they may also denote abilities and restrictions in scientific texts . modals are often used for hedging, but prior work on this topic has been limited . |
| Approach: | They propose a dataset that contains 3737 modal instances in five scientific domains . they evaluate a set of competitive neural architectures to model the distinctions in MIST . |
| Outcome: | The proposed dataset contains 3737 modal instances in five scientific domains . leveraging non-scientific data is of limited benefit for modeling the distinctions in MIST . |
Do we read what we hear? Modeling orthographic influences on spoken word recognition (2021.eacl-srw)
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| Challenge: | Existing theories and models of spoken word recognition focus on accessing lexical knowledge given an acoustic realization of a word form. |
| Approach: | They propose two models that instantiate hypotheses regarding the influence of orthography on spoken word recognition. |
| Outcome: | The proposed models reproduce human-like behavior in different ways and provide testable hypotheses for future research on the source of orthographic effects in spoken word recognition. |