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- W62684482 abstract "Hedge cues were detected using a supervised Conditional Random Field (CRF) classifier exploiting features from the RASP parser. The CRF's predictions were filtered using known cues and unseen instances were removed, increasing precision while retaining recall. Rules for scope detection, based on the grammatical relations of the sentence and the part-of-speech tag of the cue, were manually-developed. However, another supervised CRF classifier was used to refine these predictions. As a final step, scopes were constructed from the classifier output using a small set of post-processing rules. Development of the system revealed a number of issues with the annotation scheme adopted by the organisers." @default.
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- W62684482 date "2010-07-15" @default.
- W62684482 modified "2023-09-25" @default.
- W62684482 title "Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection" @default.
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- W62684482 doi "https://doi.org/10.17863/cam.13157" @default.
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