Controlling Complexity in Part-of-Speech Induction
نویسندگان
چکیده
منابع مشابه
Controlling Complexity in Part-of-Speech Induction
We consider the problem of fully unsupervised learning of grammatical (part-of-speech) categories from unlabeled text. The standard maximum-likelihood hidden Markov model for this task performs poorly, because of its weak inductive bias and large model capacity. We address this problem by refining the model and modifying the learning objective to control its capacity via parametric and non-para...
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Part-of-Speech (POS) tagging is an old and fundamental task in natural language processing. While supervised POS taggers have shown promising accuracy, it is not always feasible to use supervised methods due to lack of labeled data. In this project, we attempt to unsurprisingly induce POS tags by iteratively looking for a recurring pattern of words through a hierarchical agglomerative clusterin...
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This paper presents a method for inducing the parts of speech of a language and part-of-speech labels for individual words from a large text corpus. Vector representations for the part-of-speech of a word are formed from entries of its near lexical neighbors. A dimen-sionality reduction creates a space representing the syntactic categories of unambiguous words. A neural net trained on these spa...
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Combining Part of Speech Induction and Morphological Induction
Linguistic information is useful in natural language processing, information retrieval and a multitude of sub-tasks involving language analysis. Two types of linguistic information in all languages are part of speech and morphology. Part of speech information reflects syntactic structure and can assist in tasks such as speech recognition, machine translation and word sense disambiguation. Morph...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2011
ISSN: 1076-9757
DOI: 10.1613/jair.3348