In this paper, we present an innovative method for multi-label text classification. Our method uses Lucene to index texts and then assigns one or more classes to a new text based on its similarity relative to an annotated corpus. For finer granularity, we split the text into phrases, and then we focus on the noun phrases. Instead of classifying the entire text, we classify each noun phrase. The...

We present an unsupervised method for canonicalizing joshi (postpositions) in Japanese. Some postpositions in Japanese do not specify semantic roles explicitly as case markers do, although those postpositions syntactically behave as the case markers. Such postpositions includes “wa,” which topicalizes noun phrases, and “mo,” which emphasizes noun phrases. For this paper, we replaced these postp...

This paper investigates the use of machine learning algorithms to label modifier-noun compounds with a semantic relation. The attributes used as input to the learning algorithms are the web frequencies for phrases containing the modifier, noun, and a prepositional joining term. We compare and evaluate different algorithms and different joining phrases on Nastase and Szpakowicz’s (2003) dataset ...

Words are rarely produced in isolation. Yet, our understanding of multi-word production, and especially its time course, is still rather poor. In this research, we use event-related potentials to examine the production of multi-word noun phrases in the context of overt picture naming. We track the processing costs associated with the production of these noun phrases as compared with the product...

Categories like "noun" and "verb" represent the basic units of grammar in all human languages, and the retrieval of categorical information associated with words is an essential step in the production of grammatical speech. Studies of brain-damaged patients suggest that knowledge of nouns and verbs can be spared or impaired selectively; however, the neuroanatomical correlates of this dissociati...

In this paper, we use a Social Network Analysis method and decision tree analysis to study the distribution and relationship of Noun Phrases in documents and their corresponding abstracts. Initial results have shown significant improvement in extraction based text summarization by applying systematic predictions of the Noun Phrases that appear in both the documents and in their corresponding ab...

This paper presents the design and implementation of a finite-state syntactic grammar of Basque that has been used with the objective of extracting information about verb subcategorization instances from newspaper texts. After a partial parser has built basic syntactic units such as noun phrases, prepositional phrases, and sentential complements, a finite-state parser performs syntactic disambi...

Japanese has many noun phrase patterns of the type A no B consisting of two nouns A and B with an adnominal particle no. As the semantic relations between the two nouns in the noun phrase are not made explicit, the interpretation of the phrases depends mainly on the semantic characteristics of the nouns. This paper describes the semantic diversity of A no B and a method of semantic analysis for...