Abstract
The pronoun it is noted to be used in a variety of non-nominal 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.
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Evans, R. (2000). A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It . In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_22
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DOI: https://doi.org/10.1007/3-540-45154-4_22
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