The pronoun it is noted to be used in a variety of nonnominal ways. The identification of non-nominal pronouns is important in information retrieval, machine translation and automatic summarisation. Given that previous work has only tackled a subset of those non-nominal uses, a machine learning method for identification of all instances of non-nominal it is presented. The machine learning method is compared with a rule-based approach. The performance of each implementation is evaluated. The construction of an annotated corpus and training data are also described.
CITATION STYLE
Evans, R. (2000). A comparison of rule-based and machine learning methods for identifying non-nominal it. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 1835, pp. 233–240). Springer Verlag. https://doi.org/10.1007/3-540-45154-4_22
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