Linguists and geographers are more and more interested in route direction documents because they contain interesting motion descriptions and language patterns. A large number of such documents can be easily found on the Internet. A challenging task is to automatically extract meaningful route parts, i.e. destinations, origins and instructions, from route direction documents. However, no work ex...

In this paper we describe a spoken content retrieval (SCR) and a spoken term detection (STD) which were used in the 2nd round of the IR (Information Retrieval) for Spoken Documents (SpokenDoc2) task. Our SCR method maps the target documents into multiple vector spaces, which include a word-based vector space for word-based speech recognition results and a syllable-based vector space for syllabl...

The historical documents are valuable cultural heritages and sources for the study of history, social aspect and life at that time. The digitalization of historical documents aims to provide instant access to the archives for the researchers and the public, who had been endowed with limited chance due to maintenance reasons. However, most of these documents are not only written by hand in ancie...

We propose using active learning for tagging extractive reference summary of lecture speech. The training process of feature-based summarization model usually requires a large amount of training data with high-quality reference summaries. Human production of such summaries is tedious, and since inter-labeler agreement is low, very unreliable. Active learning helps assuage this problem by automa...

Tables are a familiar piece of furniture commonly found in homes, offices, cafés, design centers, show rooms, waiting areas, and entertainment centers. Tables provide a familiar and convenient physical setting for people to meet, chat, look over documents, and carry out tasks that require face-to-face collaboration. Digital documents, on the other hand, are commonly used only on desktop compute...

An index or topic hierarchy of full-text documents can organize a domain and speed information retrieval. Traditional indexes, like the Library of Congress system or Dewey Decimal system, are generated by hand, updated infrequently, and applied inconsistently. With machine learning, they can be generated automatically, updated as new documents arrive, and applied consistently. Despite the appea...

Skeptics believe the Web is too unstructured for Web mining to succeed. Indeed, data mining has been applied traditionally to databases, yet much of the information on the Web lies buried in documents designed for human consumption such as home pages or product catalogs. Furthermore , much of the information on the Web is presented in natural-language text with no machine-readable semantics ; H...