We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
Bar charts are common data representations in scientific and technical papers. In order to recognize the printed bar charst, we present a new Hough based bar chart recognition algo...
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...