Notices
Research Areas

Overview

We have been doing research on several fields related to Computational Linguistics and Natural Language Processing, and ontologies based on the Korean language. If you are interested, please contact us!

Korean Temporal Awareness and Reasoning Systems for Question Interpretation

We are working on the Korean version of Temporal Awareness and Reasoning Systems for Question Interpretation, following the work of TARSQI in Brandeis University. Currently, we are developing the Korean TimeML (Markup Language for Temporal and Event Expressions).

TimeML is a robust specification language for events and temporal expressions in natural language. It is designed to address four problems in event and temporal expression markup:

  1. Time stamping of events (identifying an event and anchoring it in time);
  2. Ordering events with respect to one another (lexical versus discourse properties of ordering);
  3. Reasoning with contextually underspecified temporal expressions (temporal functions such as 'last week' and 'two weeks before');
  4. Reasoning about the persistence of events (how long does an event or the outcome of an event last).

Korean Lexical Resources

We are developing Korean lexical resources for various NLP task

  • The KOLON(KOrean Lexicon mapped onto ONtology) - we map Korean nouns and predicates (verbs and adjectves) from the Sejong Electronic Dictionary onto the Mikrokosmos Ontology developed by New Mexico State University. The KOLON is different from other Wordnets for Korean in that it separates concepts from lexical items, and lexical items are mapped onto the concepts, which ends up combining ontological relations with lexical constrains, and achieving  byproduct, lexical hierarchies. Lexical items now have various lexical relations such as hypernymy and homonymy, syntactic information such as subcategorization, and semantic information such as conceptual structures (semantic classifications). The Resource browser will be available pretty soon.
  • We are also working on the methods for automatic clustering of similar words from the web. Word Similarity for unlisted words in a dictionary is important for NLP work. Our similarity measure for Korean helps us to enrich our lexical resources with those newly created or unlisted words.

Korean Language Processing

Fields in which we are interested in relation to Korean Language:

  • Analysis of the spoken Korean language. We are searching for ways of doing chunking and partial spoken language analysis.
  • Construction of a system of semantic categories applied to the Korean language.

As part of the work on constructing the 21st Century Sejong Electronic Dictionary, we have been in charge of its "special words", which are abbreviations frequently found in texts, recently made words, proper nouns, foreign words, in short, words that are not listed in dictionaries but are essential for the research on Korean language processing.

Special words

Also, we have been working on the mapping of Korean basic verbs and nouns over the Mikrokosmos Ontology, which is basic for Korean language processing.

Mapping

Knowledge Base/Ontology

    Nowadays, research related to ontologies in connection with natural language processing of meanings is a trend. These ontologies, as structures of concepts, are a part of a knowledge base needed for lexical bases, lexical networks, semantic networks and meta-NLP. Concerning this field, we have been doing the following at our lab:

  • Construction of an ontology by structuring various concepts, and, following this, trying to classify the Korean lexicon, which is used for establishing semantic relations and constructing lexicons on specialized fields.
  • Research on the application of an ontology in an actual system, based on experience in the development of an actual ontology, Mikrokosmos Ontology at CRL of New Mexico State University.
  • Research on the solution for Korean words' suitableness based on language resources rooted in ontologies, as well as research on ontology integration.
Ontology

XML-related Work

  • Research and use of XML, the widely used eXtensible Markup Language, for computational linguistics and NLP.
  • Research on a large-scale (multilingual) language database.
  • Participation in the construction of a multilingual database, "Interface for syntax/semantics of natural languages". (Research for basic study)
  • Development of tools based on XML for the development of grammars for theoretical linguists.

Information Retrieval

  • Research on information retrieval based on natural language.
  • Research on an ontology-based highly efficient system.

    By making use of collocations, morphology, grammatical properties, we have created a database, and we are now working on how to get a higher performance from the lexical information retrieval system based on existing theoretical lexical information, and how to improve the precision of the calculation model for the statistical classification of documents. We are applying linguistic information (part of speech, meaning) to decrease the vector space, and through this grasp the character of the text to be able to analyze documents by automatic question-and-answer system, and automatic grading of essays.

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Demo

WISE World Information Search Engine

WISE, "World Information Search Engine", is the automatic answering system based on Korean language made by our Computational Linguistics Laboratory at Seoul National University.

- WISE link -

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Selected Papers

  1. Minsu Ko and Hyopil Shin (2010), Grading System of Movie Review through the Use of An Appraisal Dictionary and Computation of Semantic Segment, Korean Journal of Cognitive Science 21-4.

  2. Juliano Paiva Junho, Yumi Jo and Hyopil Shin (2010), The KOLON System: Tools for Ontological Natural Language Processing in Korean, PACLIC24.
  3. Hayeon Jang and Hyopil Shin (2010), Effective Use of Linguistics Features for Sentiment Analysis of Korean, PACLIC24.
  4. Hayeon Jang and Hyopil Shin (2010), Language-Specific Sentiment Analysis in Morphologically Rich Langauges, COLING2010. (PDF)
  5. Hyopil Shin (2010), KOLON(the KOrean Lexicon mapped onto the Mikrokosmos ONtology): Mapping Korean Words onto the Mikrokosmos Ontology and Combining Lexical Resources, Eoneohak 56.
  6. Hyopil Shin and Hyunjo You (2009), Hybrid N-gram Probability Estimation in Morphologically Rich Languages, The 23rd Pacific Asia Conference on Language, Information, and Computation, Hong Kong
  7. Seohyun Im, Yoonshin Kim, Youmi Cho, Hayun Jang, Minsu Ko, Seungho Nam, and Hyopil Shin (2009), KTARSQI: The Annotation of Temporal and Event Expressions in Korean, 21st Annual Conference on Human and Cognitive Language Technology.
  8. Hyunjo You, Munhyung Kim, Juliano Junho, Seungho Nam and Hyopil Shin (2009), Saken: the Korean Event Tagger, 21st Annual Conference on Human and Cognitive Language Technology.
  9. Hyopil Shin (2009), Linguistics and Statistical Models(언어학과 통계 모델), Seoul National University Press.
  10. Seohyun Im, Hyunjo You, Hayun Jang, Seungho Nam , and Hyopil Shin (2009), KTimeML: Specification of Temporal and Event Expressions in Korean Text, The 7th Workshop on Asian Language Resources, Association for Computational Linguistics.
  11. Hyopil Shin and Insik Cho (2008), A Noun-Predicate Bigram-based Similarity Measure for Lexical Relations, Lecture Notes in Artificial Intelligence 5221, Springer.(You can get the paper at Springer site)
  12. Jung-Min Kim, Byoung-Il Choi, Hyo-Pil Shin and Hyoung-Joo Kim (2007), A methodology for constructing of philosophy ontology based on philosophical texts, Computer Standards & Interfaces 29-3.(PDF)
  13. Jung-Min Kim, Hyopil Shin, and Hyoung-Joo Kim (2007), Schema and Constraints-based Matching and Merging of Topic Maps, Information Processing and Management 43-3.(PDF)
  14. Hyopil Shin (2007), Mapping Korean Basic Verbs to the Mikrokosmos Ontology (in Korean), Eoneohak 49.(PDF)
  15. Hyopil Shin (2007), A Statistical Approach to Collocations Based on the Log Likelihood Ratio (in Korean), Eoneohak 47.
  16. Hyopil Shin (2006), A Flat Korean Analysis Based on the Typed Feature Structures and LKB (Linguistic Knowledge Building) (in Korean), Eoneohak 44. (PDF)
  17. Jung-Min Kim, Hyopil Shin, and Hyoung-Joo Kim (2006), A Multi-Strategic Mapping Approach for Distributed Topic Maps(in Korean) Journal of KISS: Software and Applications 33-1.
  18. Hyopil Shin (2005), Some Considerations on the Analysis of Linguistic Data based on Statistics (in Korean), Language Research 41-3.
  19. Hyopil Shin (2005), Ontological Semantics (in Korean), Semantic and Syntactic Structure and Beyond
  20. Hyopil Shin (2004), Ontology-based Conceptual Structures and Lexical Mapping (in Korean), Language Research 40-3. (PDF)
  21. Insik Cho, HyunJo Yoo and Hyopil Shin (2004), Specialized Words in the 21st Sejong Electronic Dictionary (in Korean) Korean Dictionary 3.
  22. Hyopil Shin (2004), Ontolgoy and Semantic Web As a Knowledge Base (in Korean), Communications of the Korean Information Processing.
  23. Hyopil Shin (2003), Constructing A Korean-English Bilingual Dictionary For Bilingual Dictionary For Well-formed English Sentence Generations in A Gloss-based System (in Korean) Korean Journal of Cognitive Science 14-2.
  24. Hyopil Shin (2003), A Knowledge-based Question-Answering System: With a View to Constructing A Fact Database (in Korean), Korean Journal of Cognitive Science 13-1.
  25. Hyopil Shin (2001), Toward More Efficient Processing of Typed Feature Structures in Korean, Eoneohak 29.
  26. Hyopil Shin and Eugene Koontz (2001), KaBAL(Knowledge Base Access Language): A Language For Querying And Editing XML Documents, Applied To Linguistic Knowledge Base, IEEE NLP-KE, Tucson, USA.
  27. Hyopil Shin and W. Ogden (2001), Combining Summarization and Machine Translation Facilities to Build an Interactive Cross-Language Retrieval System, The 19th International Conference on Computer Processing of Oriental Languages, Korea.
  28. Hyopil Shin and Spencer Koehler (2000), A Knowledge-Based Fact Database: Acquisition to Application, Knowledge Based Computer Systems 3, Allied Publisher.
  29. Hyopil Shin and Spencer Koehler (2000), Acquiring Factual Knowledge Through Ontological Instantiation, The Series of Lecture Notes in Computer Science, vol. 1886, Springer-Verlag Publisher.
  30. Hyopil Shin and Jerrold Stach (2000), Using Long Runs as Predictors of Semantic Coherence in a Partial Document Retrieval System, Workshop of Syntax and Semantic Complexity in Natural Language Processing Systems, ANLP/NAACL 2000, Seattle, USA.
  31. Hyopil Shin and Jerrold Stach (1999), Incorporating Probabilistic Semantic Categories (SEMCATs) Into Vector Space Techniques For Partial Document Retrieval, Journal of Computer Systems and Information Management, vol. 2-3, Maximillan Press.
  32. Hyopil Shin (1999), The VP-barrier Algorithm for a Robust Syntactic Processing in Head-Final Languages, Proceedings of the Natural Language Processing Pacific Rim Symposium, Beijing.
  33. Hyopil Shin (1999), Maximally Efficient Syntactic Parsing with Minimal Resources, 99 Korean and Korean Language Processing.
  34. Hyopil Shin (1999), Syntactic and Semantic Interfaces for Lexically Unrealized Relations, Proceedings of Mid-America Linguistics Conference, University of Kansas.
  35. W. Ogden, J. Cowie, M. Davis, E. Ludovik, H. Molina-Salgado and Hyopil Shin (1999), Getting Information from Documents You Cannot Read: An Interactive Cross-Language Text Retrieval and Summarization System, Joint ACM Digital Library/SIGIR Workshop on Multilingual Information Discovery and Access (MIDAS), Univ. of California, Berkely.
  36. Hyopil Shin, Incorporating Semantic Categories Into Partial Information Retrieval System, M.S. Thesis, University of Missouri-Kansas City.
  37. Hyopil Shin (1996), Syntactic and Semantic Structure of the Korean Relative Constructions: A Unified Approach, Taehaksa.
  38. J. Oh and Hyopil Shin (1995), Lexaurus: A Multilingual, Ontology-based Bilingual Electronic Dictionary, Language Research 31-3, Seoul National University.
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People

Hyopil Shin (hpshin@snu.ac.kr)

  • Education
    • B.A. - Linguistics Department, Seoul National University (1984-1988)
    • M.A. - Linguistics Department, Seoul National University (1988-1990)
    • Ph.D. - Linguistics Department, Seoul National University (1990-1994)
    • M.Sc. - University of Missouri-Kansas City (Computation Science) (1995-1997)
  • Career
    • Associate Professor, Linguistics Department, Seoul National University (2003.3-Present)
    • BK21 Assistant Professor, Electrical Engineering Department, Seoul National University (2001.9-2003.2)
    • Senior Researcher, YY Technologies in Silicon Valley (2001.1-2001.12)
    • Researcher, CRL (Computing Research Laboratory), New Mexico State University, USA (1998.1-2001.1)
  • Office
    • Bldg. 3, Room 309 (Tel: 02-880-6170)

Graduate Students

  • Insik Cho (Doctoral Course)
  • Jisung Sun (Now in State University of New York)
  • Minhong Park (serve in the army)
  • Munhyung Kim (Master's Course)
  • Juliano Junho (Master's Course)
  • Hayun Jang (Master's Course)
  • Minsoo Ko (Master's Course)
Classes (Spring 2011)

Computational Linguistics (Undergraduate)

Class homepage

Studies in Compuatational Linguistics II

Class homepage

 

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Links

Natural Language Processing Tools

 *Research Fields *Research *Researchers *Classes *Links *Bulletin Board
Computational Linguistics Lab @ Seoul National University Bldg. 3, Room 325
(Tel: 02-880-9245)