Data Mining

The possibilities for data mining from large text collections are virtually untapped. Text ex- presses a vast, rich range of information, but en- codes this information in a form that …...

Sentiment analysis seeks to characterize opinionated or evaluative aspects of nat- ural language text. We suggest here that appraisal expression extraction should be viewed as a fundamental task in sentiment …...

AbstractThis paper proposes the method to detect peculiar examples of the target word from a corpus. In this paper we regard following examples as peculiar examples: (1) a meaning of …...

AbstractWe describe results of a word sense annotation task using WordNet, involving half a dozen well-trained annotators on ten polysemous words for three parts of speech. One hundred sentences for …...

In this paper, we design a processing flow to produce linked data in articles, providing anchor- based term’s additional information and related terms in different languages (English to Chi- nese). …...

In recent years, statistical parsers have reached high performance levels on well-edited texts. Domain adaptation techniques have improved parsing results on text genres differing from the journalistic data most parsers …...

Mining Partial Annotation Rules for Named Entity Recognition During the last decades, the unremitting increase of numeric data available has led to a more and more urgent need for efficient …...

AbstractWe present a methodology to analyze the linguistic evolution of scientific registers with data mining techniques, comparing the insights gained from shallow vs. linguistic features. The focus is on selected …...

AbstractRecently, topic modeling has been widely applied in data mining due to its powerful ability. A common, major challenge in applying such topic models to other tasks is to accurately …...