Keynote Speaker I
Development of Indonesian Natural Language Processing Tools and Its Usage in Text Applications
Dr. Ayu Purwarianti
School of Electrical Engineering and Informatics, Institut Teknologi Bandung
Education Activity Officer of IEEE Indonesian
Not only because of the fast growing of internet where we can automatically extract information from unstructured text in documents (text analytics), but also the increasing human need on using computer as simple as possible (conversation), the field of natural language processing has become more interesting in recent years. This phenomenon is also applied for Indonesian language where there is about 250 million people using this language and the neighbor country understands the language.
Different with major language such as English or Japanese, the data resource for Indonesian language processing is very limited, most of them were developed by researchers individually. Here, we will describe our ongoing research on building Indonesian Natural Language Processing Tools which we named it INANLP. This tool consists of several natural language processing tools, covers from lexical, syntactic to semantic processing. By the limitation of the data resource and expert knowledge, we employ both the statistical method and rule based method in building the tool. For tools with an adequate expert knowledge, we only employ a rule based method such as for tokenization, stemming, word formalization, semantic analyzer. As for other tools, we employ statistical method with an additional knowledge to handle the OOV (out of vocabulary), such as for POS tagger and Named Entity tagger. As for the parser, until now, we only applied the statistical based, since the POS tagger used in the parser is already designed to handle the OOV.
With this limitation, we manage to use INANLP in building text applications including text analytics, text understanding or text conversation. In text analytics, we use INANLP to build text classification and information extraction, for example is a complaint management system, which aim is to automatically extract complaint information (written in social media) from the citizen. Here, we use the tokenization, formalization and named entity tagger of INANLP to build the system. Another application example is in text understanding, where we tried to generate mind map from a text with simple sentences. The INANLP modules used here are tokenization, POS tagger, parser and semantic analyzer. We also built a question answering system which aim is to find answers for given question from unstructured text or structured data. Here we employed tokenization, POS tagger, Named Entity tagger, and parser to build the question answering system.
Dr. Ayu Purwarianti received the B.S. and M.S. degree in informatics from Bandung Institute of Technology, and Ph.D. degrees in Information and Computer Science from the Toyohashi University of Technology, Japan. She is an assistant professor at school of electrical engineering and informatics, Bandung Institute of Technology. Her expertise area is in natural language processing field. She is now the head of study program of Informatics at Bandung Institute of Technology, Indonesia, which is one of the oldest universities in computing in Indonesia.
Keynote Speaker II
Studies on Social Solutions by Advanced Information Communication Technologies
Dr. Keiji YAMADA
Head of NEC Laboratories Singapore
Senior Vice President, NEC Asia Pacific Pte. Ltd.
People in the 21st century are facing at lots of social problems such as global warming, water shortage, power shortage, terrorism, and traffic congestion. In order to contribute to solving these problems, information communication technologies should be evolved more. Furthermore, we need to understand that a single technology cannot solve a social problem because modern social problems are getting more complex. The speaker will talk about some of his trials for social solutions by advanced information communication technologies and discuss about ways to create further social solutions.
Keiji YAMADA is currently Senior Vice President of NEC Asia Pacific Pte. Ltd. and the head of NEC Laboratories Singapore.
He received the B.E., the M.E., and the Dr.Eng. degrees in information science from Kyoto University in 1982, 1984, 1987.
In 1987, he joined C&C Information Technology Research laboratories, NEC Corporation. From 1990 to 1991, he was a Visiting Professor of Computer Science and Engineering Department, University of California at San Diego. Between 2004 and 2006, he was the general manager of Media Information Research Laboratories, NEC Corporation. Between 2007 and 2012, he was the general manager of C&C Innovation research laboratories, NEC Corporation. Between 2012 and 2013, he was a Vice President of Central Research Laboratories, NEC Corporation. Since 2013, he has been at the current position.
Through his research carriers, he has designed future society including smart city and intelligent work places and has conducted researches on pattern recognition, artificial neural network, machine learning, human-computer interaction, and intelligent network. He is a member of the IPSJ and the IEEE, and he is a fellow of the IEICE and a board member of the IAPR.