Effectiveness of Relative Expressions for Trend Information Extraction

RELATIVE INFORMATION FUNCTIONAL OF RELATIVE DYNAMICAL SYSTEMS

 In this paper by use of mathematical modeling of an observer [14,15] the notion of relative information functional for relative dynamical systemson compact metric spaces is presented. We extract the information function ofan ergodic dynamical system (X,T) from the relative information of T fromthe view point of observer χX, where X denotes the base space of the system.We also generalize the in...

Trend Information Extraction Based on Relative Expression Participated on MuST T2N Subtask

Feature-Rich Information Extraction for the Technical Trend-Map Creation

The authors used a word sequence labeling method for technical effects and base-technology extraction in the Technical Trend Map Creation Subtask of the NTCIR-8 Patent Mining Task. The method labels each word based on CRF (Conditional Random Field) trained with labeled data. The word features employed in the labeling are obtained by using explicit/implicit document structures, technology fields...

Exploiting Role-Identifying Nouns and Expressions for Information Extraction

We present a new approach for extraction pattern learning that exploits role-identifying nouns, which are nouns whose semantics reveal the role that they play in an event (e.g., an “assassin” is a perpetrator). Given a few seed nouns, a bootstrapping algorithm automatically learns roleidentifying nouns, which are then used to learn extraction patterns. We also introduce a method to learn role-i...

Improving effectiveness of mutual information for substantival multiword expression extraction

0957-4174/$ see front matter 2009 Elsevier Ltd. A doi:10.1016/j.eswa.2009.02.026 * Corresponding author. E-mail addresses: [email protected] (W. Zh Yoshida), [email protected] (X. Tang). One of the deficiencies of mutual information is its poor capacity to measure association of words with unsymmetrical co-occurrence, which has large amounts for multi-word expression in texts. Moreover, thre...