Hyopil Shin


2021

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The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts
Sangah Lee | Hyopil Shin
Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)

User-generated texts include various types of stylistic properties, or noises. Such texts are not properly processed by existing morpheme analyzers or language models based on formal texts such as encyclopedias or news articles. In this paper, we propose a simple morphologically tight-fitting tokenizer (K-MT) that can better process proper nouns, coinages, and internet slang among other types of noise in Korean user-generated texts. We tested our tokenizer by performing classification tasks on Korean user-generated movie reviews and hate speech datasets, and the Korean Named Entity Recognition dataset. Through our tests, we found that K-MT is better fit to process internet slangs, proper nouns, and coinages, compared to a morpheme analyzer and a character-level WordPiece tokenizer.

2018

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Metaphor Identification with Paragraph and Word Vectorization: An Attention-Based Neural Approach
Timour Igamberdiev | Hyopil Shin
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

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Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages
Suzi Park | Hyopil Shin
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2015

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Do We Really Need Lexical Information? Towards a Top-down Approach to Sentiment Analysis of Product Reviews
Yulia Otmakhova | Hyopil Shin
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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Identification of Implicit Topics in Twitter Data Not Containing Explicit Search Queries
Suzi Park | Hyopil Shin
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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Romanization-based Approach to Morphological Analysis in Korean SMS Text Processing
Youngsam Kim | Hyopil Shin
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Applying Graph-based Keyword Extraction to Document Retrieval
Youngsam Kim | Munhyong Kim | Andrew Cattle | Julia Otmakhova | Suzi Park | Hyopil Shin
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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KOSAC: A Full-Fledged Korean Sentiment Analysis Corpus
Hayeon Jang | Munhyong Kim | Hyopil Shin
Proceedings of the 27th Pacific Asia Conference on Language, Information, and Computation (PACLIC 27)

2012

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Annotation Scheme for Constructing Sentiment Corpus in Korean
Hyopil Shin | Munhyong Kim | Hayeon Jang | Andrew Cattle
Proceedings of the 26th Pacific Asia Conference on Language, Information, and Computation

2010

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Language-Specific Sentiment Analysis in Morphologically Rich Languages
Hayeon Jang | Hyopil Shin
Coling 2010: Posters

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Effective Use of Linguistic Features for Sentiment Analysis of Korean
Hayeon Jang | Hyopil Shin
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

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The KOLON System: Tools for Ontological Natural Language Processing in Korean
Juliano Paiva Junho | Yumi Jo | Hyopil Shin
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

2009

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Hybrid N-gram Probability Estimation in Morphologically Rich Languages
Hyopil Shin | Hyunjo You
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 2

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KTimeML: Specification of Temporal and Event Expressions in Korean Text
Seohyun Im | Hyunjo You | Hayun Jang | Seungho Nam | Hyopil Shin
Proceedings of the 7th Workshop on Asian Language Resources (ALR7)

2000

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Using Long Runs as Predictors of Semantic Coherence in a Partial Document Retrieval System
Hyopil Shin | Jerrold F. Stach
NAACL-ANLP 2000 Workshop: Syntactic and Semantic Complexity in Natural Language Processing Systems