Search

Your search keyword '"Myaeng, Sung Hyon"' showing total 436 results
Start Over Author "Myaeng, Sung Hyon"

Refine your results

more »

more »

more »

more »
436 results on '"Myaeng, Sung Hyon"'

1. Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

Author

Hong, Giwon, Kim, Jeonghwan, Kang, Junmo, Myaeng, Sung-Hyon, and Whang, Joyce Jiyoung

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Most existing retrieval-augmented language models (LMs) assume a naive dichotomy within a retrieved document set: query-relevance and irrelevance. Our work investigates a more challenging scenario in which even the "relevant" documents may contain misleading or incorrect information, causing conflict among the retrieved documents and thereby negatively influencing model decisions as noise. We observe that existing LMs are highly brittle to the presence of conflicting information in both the fine-tuning and in-context few-shot learning scenarios. We propose approaches for handling knowledge conflicts among retrieved documents by explicitly fine-tuning a discriminator or prompting GPT-3.5 to elicit its discriminative capability. Our empirical results on open-domain QA show that these approaches significantly enhance model robustness. We also provide our findings on incorporating the fine-tuned discriminator's decision into the in-context learning process, proposing a way to exploit the benefits of two disparate learning schemes. Alongside our findings, we provide MacNoise, a machine-generated, conflict-induced dataset to further encourage research in this direction., Comment: NAACL 2024 (Findings; Long Paper)

Published
2023

2. Maximizing Efficiency of Language Model Pre-training for Learning Representation

Author

Kang, Junmo, Shin, Suwon, Kim, Jeonghwan, Jo, Jaeyoung, and Myaeng, Sung-Hyon

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Pre-trained language models in the past years have shown exponential growth in model parameters and compute time. ELECTRA is a novel approach for improving the compute efficiency of pre-trained language models (e.g. BERT) based on masked language modeling (MLM) by addressing the sample inefficiency problem with the replaced token detection (RTD) task. Our work proposes adaptive early exit strategy to maximize the efficiency of the pre-training process by relieving the model's subsequent layers of the need to process latent features by leveraging earlier layer representations. Moreover, we evaluate an initial approach to the problem that has not succeeded in maintaining the accuracy of the model while showing a promising compute efficiency by thoroughly investigating the necessity of the generator module of ELECTRA., Comment: Published in KSC 2020

Published
2021

3. Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval

Author

Jang, Kyoung-Rok, Kang, Junmo, Hong, Giwon, Myaeng, Sung-Hyon, Park, Joohee, Yoon, Taewon, and Seo, Heecheol

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval
Abstract

The semantic matching capabilities of neural information retrieval can ameliorate synonymy and polysemy problems of symbolic approaches. However, neural models' dense representations are more suitable for re-ranking, due to their inefficiency. Sparse representations, either in symbolic or latent form, are more efficient with an inverted index. Taking the merits of the sparse and dense representations, we propose an ultra-high dimensional (UHD) representation scheme equipped with directly controllable sparsity. UHD's large capacity and minimal noise and interference among the dimensions allow for binarized representations, which are highly efficient for storage and search. Also proposed is a bucketing method, where the embeddings from multiple layers of BERT are selected/merged to represent diverse linguistic aspects. We test our models with MS MARCO and TREC CAR, showing that our models outperforms other sparse models, Comment: To appear at EMNLP 2021

Published
2021

4. Leveraging Order-Free Tag Relations for Context-Aware Recommendation

Author

Kang, Junmo, Kim, Jeonghwan, Shin, Suwon, and Myaeng, Sung-Hyon

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval
Abstract

Tag recommendation relies on either a ranking function for top-$k$ tags or an autoregressive generation method. However, the previous methods neglect one of two seemingly conflicting yet desirable characteristics of a tag set: orderlessness and inter-dependency. While the ranking approach fails to address the inter-dependency among tags when they are ranked, the autoregressive approach fails to take orderlessness into account because it is designed to utilize sequential relations among tokens. We propose a sequence-oblivious generation method for tag recommendation, in which the next tag to be generated is independent of the order of the generated tags and the order of the ground truth tags occurring in training data. Empirical results on two different domains, Instagram and Stack Overflow, show that our method is significantly superior to the previous approaches., Comment: EMNLP 2021

Published
2020

5. Let Me Know What to Ask: Interrogative-Word-Aware Question Generation

Author

Kang, Junmo, Roman, Haritz Puerto San, and Myaeng, Sung-Hyon

Subjects
Computer Science - Computation and Language
Abstract

Question Generation (QG) is a Natural Language Processing (NLP) task that aids advances in Question Answering (QA) and conversational assistants. Existing models focus on generating a question based on a text and possibly the answer to the generated question. They need to determine the type of interrogative word to be generated while having to pay attention to the grammar and vocabulary of the question. In this work, we propose Interrogative-Word-Aware Question Generation (IWAQG), a pipelined system composed of two modules: an interrogative word classifier and a QG model. The first module predicts the interrogative word that is provided to the second module to create the question. Owing to an increased recall of deciding the interrogative words to be used for the generated questions, the proposed model achieves new state-of-the-art results on the task of QG in SQuAD, improving from 46.58 to 47.69 in BLEU-1, 17.55 to 18.53 in BLEU-4, 21.24 to 22.33 in METEOR, and from 44.53 to 46.94 in ROUGE-L., Comment: Accepted at 2nd Workshop on Machine Reading for Question Answering (MRQA), EMNLP 2019

Published
2019

6. Visualization of Retrieved Documents using a Presentation Server

Author

Song, Sa-Kwang and Myaeng, Sung Hyon

Subjects
Computer Science - Digital Libraries, Computer Science - Information Retrieval, H.3.3, H.3.4
Abstract

In any search-based digital library (DL) systems dealing with a non-trivial number of documents, users are often required to go through a long list of short document descriptions in order to identify what they are looking for. To tackle the problem, a variety of document organization algorithms and/or visualization techniques have been used to guide users in selecting relevant documents. Since these techniques require heavy computations, however, we developed a presentation server designed to serve as an intermediary between retrieval servers and clients equipped with a visualization interface. In addition, we designed our own visual interface by which users can view a set of documents from different perspectives through layers of document maps. We finally ran experiments to show that the visual interface, in conjunction with the presentation server, indeed helps users in selecting relevant documents from the retrieval results., Comment: 13 pages

Published
1999

7. A Topic Transition Map for Query Expansion: A Semantic Analysis of Click-Through Data and Test Collections

Author

Kim, Kyung-min, Jung, Yuchul, Myaeng, Sung-Hyon, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Kang, Byeong Ho, editor, and Bai, Quan, editor

Published
2016
Full Text
View/download PDF

9. Effective Use of Place Information for Event Tracking

Author

Jin, Yun, Myaeng, Sung Hyon, Lee, Mann-Ho, Oh, Hyo-Jung, Jang, Myung-Gil, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lee, Gary Geunbae, editor, Yamada, Akio, editor, Meng, Helen, editor, and Myaeng, Sung Hyon, editor

Published
2005
Full Text
View/download PDF

10. A Probabilistic Model for Music Recommendation Considering Audio Features

Author

Li, Qing, Myaeng, Sung Hyon, Guan, Dong Hai, Kim, Byeong Man, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lee, Gary Geunbae, editor, Yamada, Akio, editor, Meng, Helen, editor, and Myaeng, Sung Hyon, editor

Published
2005
Full Text
View/download PDF

11. A Multimedia Digital Library System Based on MPEG-7 and XQuery

Author

Lee, Mann-Ho, Kang, Ji-Hoon, Myaeng, Sung Hyon, Hyun, Soon Joo, Yoo, Jeong-Mok, Ko, Eun-Jung, Jang, Jae-Won, Lim, Jae-Hyoung, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Sembok, Tengku Mohd Tengku, editor, Zaman, Halimah Badioze, editor, Chen, Hsinchun, editor, Urs, Shalini R., editor, and Myaeng, Sung-Hyon, editor

Published
2003
Full Text
View/download PDF

13. Using WordNet Hypernyms and Dependency Features for Phrasal-Level Event Recognition and Type Classification

Author

Jeong, Yoonjae, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Serdyukov, Pavel, editor, Braslavski, Pavel, editor, Kuznetsov, Sergei O., editor, Kamps, Jaap, editor, Rüger, Stefan, editor, Agichtein, Eugene, editor, Segalovich, Ilya, editor, and Yilmaz, Emine, editor

Published
2013
Full Text
View/download PDF

15. Actionable Clause Detection from Non-imperative Sentences in Howto Instructions: A Step for Actionable Information Extraction

Author

Ryu, Jihee, Jung, Yuchul, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Sojka, Petr, editor, Horák, Aleš, editor, Kopeček, Ivan, editor, and Pala, Karel, editor

Published
2012
Full Text
View/download PDF

16. Query Enhancement for Patent Prior-Art-Search Based on Keyterm Dependency Relations and Semantic Tags

Author

Nguyen, Khanh-Ly, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Salampasis, Michail, editor, and Larsen, Birger, editor

Published
2012
Full Text
View/download PDF

17. A Generate-and-Test Method of Detecting Negative-Sentiment Sentences

Author

Choi, Yoonjung, Oh, Hyo-Jung, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Gelbukh, Alexander, editor

Published
2012
Full Text
View/download PDF

18. Feasibility Study for Procedural Knowledge Extraction in Biomedical Documents

Author

Song, Sa-kwang, Choi, Yun-soo, Oh, Heung-seon, Myaeng, Sung-Hyon, Choi, Sung-Pil, Chun, Hong-Woo, Jeong, Chang-Hoo, Sung, Won-Kyung, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Salem, Mohamed Vall Mohamed, editor, Shaalan, Khaled, editor, Oroumchian, Farhad, editor, Shakery, Azadeh, editor, and Khelalfa, Halim, editor

Published
2011
Full Text
View/download PDF

19. Query Phrase Expansion Using Wikipedia in Patent Class Search

Author

Al-Shboul, Bashar, Myaeng, Sung-Hyon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Salem, Mohamed Vall Mohamed, editor, Shaalan, Khaled, editor, Oroumchian, Farhad, editor, Shakery, Azadeh, editor, and Khelalfa, Halim, editor

Published
2011
Full Text
View/download PDF

20. Procedural Knowledge Extraction on MEDLINE Abstracts

Author

Song, Sa-kwang, Oh, Heung-seon, Myaeng, Sung Hyon, Choi, Sung-pil, Chun, Hong-woo, Choi, Yun-soo, Jeong, Chang-hoo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Zhong, Ning, editor, Callaghan, Vic, editor, Ghorbani, Ali A., editor, and Hu, Bin, editor

Published
2011
Full Text
View/download PDF

21. Text Classification for a Large-Scale Taxonomy Using Dynamically Mixed Local and Global Models for a Node

Author

Oh, Heung-Seon, Choi, Yoonjung, Myaeng, Sung-Hyon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Clough, Paul, editor, Foley, Colum, editor, Gurrin, Cathal, editor, Jones, Gareth J. F., editor, Kraaij, Wessel, editor, Lee, Hyowon, editor, and Mudoch, Vanessa, editor

Published
2011
Full Text
View/download PDF

22. Identifying Controversial Issues and Their Sub-topics in News Articles

Author

Choi, Yoonjung, Jung, Yuchul, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chen, Hsinchun, editor, Chau, Michael, editor, Li, Shu-hsing, editor, Urs, Shalini, editor, Srinivasa, Srinath, editor, and Wang, G. Alan, editor

Published
2010
Full Text
View/download PDF

23. An Opinion Analysis System Using Domain-Specific Lexical Knowledge

Author

Kim, Youngho, Jung, Yuchul, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Li, Hang, editor, Liu, Ting, editor, Ma, Wei-Ying, editor, Sakai, Tetsuya, editor, Wong, Kam-Fai, editor, and Zhou, Guodong, editor

Published
2008
Full Text
View/download PDF

24. A Web-Based Automated System for Industry and Occupation Coding

Author

Jung, Yuchul, Yoo, Jihee, Myaeng, Sung-Hyon, Han, Dong-Cheol, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bailey, James, editor, Maier, David, editor, Schewe, Klaus-Dieter, editor, Thalheim, Bernhard, editor, and Wang, Xiaoyang Sean, editor

Published
2008
Full Text
View/download PDF

25. Building a Large-Scale Commonsense Knowledge Base by Converting an Existing One in a Different Language

Author

Jung, Yuchul, Lee, Joo-Young, Kim, Youngho, Park, Jaehyun, Myaeng, Sung-Hyon, Rim, Hae-Chang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Rangan, C. Pandu, Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Gelbukh, Alexander, editor

Published
2007
Full Text
View/download PDF

26. Translation of Unknown Terms Via Web Mining for Information Retrieval

Author

Li, Qing, Myaeng, Sung Hyon, Jin, Yun, Kang, Bo-Yeong, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ng, Hwee Tou, editor, Leong, Mun-Kew, editor, Kan, Min-Yen, editor, and Ji, Donghong, editor

Published
2006
Full Text
View/download PDF

27. Text Mining for Medical Documents Using a Hidden Markov Model

Author

Jang, Hyeju, Song, Sa Kwang, Myaeng, Sung Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ng, Hwee Tou, editor, Leong, Mun-Kew, editor, Kan, Min-Yen, editor, and Ji, Donghong, editor

Published
2006
Full Text
View/download PDF

28. A Hybrid Mood Classification Approach for Blog Text

Author

Jung, Yuchul, Park, Hogun, Myaeng, Sung Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Yang, Qiang, editor, and Webb, Geoff, editor

Published
2006
Full Text
View/download PDF

29. A Hybrid Information Retrieval Model Using Metadata and Text

Author

Kim, Sung Soo, Myaeng, Sung Hyon, Yoo, Jeong-Mok, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fox, Edward A., editor, Neuhold, Erich J., editor, Premsmit, Pimrumpai, editor, and Wuwongse, Vilas, editor

Published
2005
Full Text
View/download PDF

30. A Theme Allocation for a Sentence Based on Head Driven Patterns

Author

Kang, Bo-Yeong, Myaeng, Sung-Hyon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Matoušek, Václav, editor, Mautner, Pavel, editor, and Pavelka, Tomáš, editor

Published
2005
Full Text
View/download PDF

34. Using Cause-Effect Relations in Text To Improve Information Retrieval Precision.

Author

Khoo, Christopher S. G., Myaeng, Sung Hyon, and Oddy, Robert N.

Abstract

This study used semantic relations expressed in text, particularly cause-effect relations, to improve information retrieval effectiveness. Investigated whether information obtained by matching cause-effect relations expressed in documents with the cause-effect relations expressed in users' queries can be used to improve retrieval results, in comparison to using just keyword matching. (Author/LRW)

Published
2001

35. Automatic Identification and Back-Transliteration of Foreign Words for Information Retrieval.

Author

Jeong, Kil Soon, Myaeng, Sung Hyon, Lee, Jae Sung, and Choi, Key-Sun

Abstract

Discusses problems that occur in information retrieval when foreign words appear in Korean texts. Describes an algorithm that identifies a phrase containing a foreign word and then extracts that word based on statistical information, and explains a method for back-transliteration of a foreign word to its English origin. (Author/LRW)

Published
1999

48. Some effective techniques for naive Bayes text classification

Author

Kim, Sang-Bum, Han, Kyoung-Soo, Rim, Hae-Chang, and Myaeng, Sung Hyon

Subjects
Full text databases -- Analysis, Heuristic programming -- Usage, Bayesian statistical decision theory, Business, Computers, Electronics, Electronics and electrical industries
Abstract

While naive Bayes is quite effective in various data mining tasks, it shows a disappointing result in the automatic text classification problem. Based on the observation of naive Bayes for the natural language text, we found a serious problem in the parameter estimation process, which causes poor results in text classification domain. In this paper, we propose two empirical heuristics: per-document text normalization and feature weighting method. While these are somewhat ad hoc methods, our proposed naive Bayes text classifier performs very well in the standard benchmark collections, competing with state-of-the-art text classifiers based on a highly complex learning method such as SVM. Index Terms--Text classification, naive Bayes classifier, Poisson model, feature weighting.

Published
2006

Catalog

Books, media, physical & digital resources
See catalog results