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Natural Language and

Knowledge Processing Lab

Lab

Research Faculty
Wen-Lian Hsu We focus on problems concerning knowledge-based information processing, a pro-
Distinguished Research Fellow cess which is strongly motivated by the deluge of information available on the Inter-
net. We are currently engaged in research on knowledge acquisition, representation,
Keh-Jiann Chen and utilization, with special emphasis on Chinese processing.
Research Fellow
Lun-Wei Ku 1. Knowledge Acquisition
Assistant Research Fellow Our focus is on strategies and methodologies of automating knowledge acquisition
Keh-Yih Su processes.
Research Fellow
Hsin-Min Wang a) Construction of linguistic knowledge bases
Research Fellow Over the past two decades, we have developed an infrastructure for Chinese lan-
guage processing that includes part-of-speech tagged corpus, tree-banks, Chi-
nese lexical databases, Chinese grammatical elements, InfoMap, word identifica-
tion systems, and sentence parsers, among other components. We plan to make
use of these tools to extract linguistic and domain knowledge from the web with
crowd sourcing.

b) Pattern-based information extraction (IE)
Most pattern-based IE approaches are initiated by manually providing seed in-
stances. We have proposed a semi-supervised method that can manage a large
quantity of seed instances with diverse quality. Our strategy can provide flexible
frame-based pattern matching and summarization.

2. Knowledge Representation

We will remodel the current ontology structures of WordNet, HowNet, and FrameNet
to achieve a more unified representation. We have designed a universal concept
representational mechanism called E-HowNet, a frame-based entity-relation model.
E-HowNet has semantic composition and decomposition capabilities, which are
intended to enable it to derive near-canonical sense representation of sentences
through semantic composition of lexical senses.

3. Knowledge Utilization
Our Chinese input system, GOING, is used by over one million people in Taiwan. Our
knowledge representation kernel, InfoMap, has been applied to a wide variety of
application systems. In the future, we will design event frames as a major building
block of our learning system. We will also develop basic technologies for processing
spoken languages, and music to support various applications.

a) Knowledge-based Chinese language processing
We will focus on the conceptual processing of Chinese documents. Our system
will utilize the statistical, linguistic, and common sense knowledge derived by our
evolving Knowledge Web and E-HowNet to parse the conceptual structures of
sentences and interpret the meanings of sentences.

b) Audio (speech/music/song) processing & retrieval
Our goal is to develop methods for analyzing, extracting, recognizing, indexing,

30 研究群 Research Laboratories