144 results on '"Jong-Hoon Oh"'
Search Results
2. Event Causality Recognition Exploiting Multiple Annotators' Judgments and Background Knowledge.
3. Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts.
4. Exploiting Background Knowledge in Compact Answer Generation for Why-Questions.
5. Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions.
6. Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering.
7. Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks.
8. Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network.
9. WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data.
10. A Semi-Supervised Learning Approach to Why-Question Answering.
11. Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition.
12. Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity.
13. Generating Event Causality Hypotheses through Semantic Relations.
14. Extracting clinical terms from radiology reports with deep learning.
15. Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy.
16. Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features.
17. Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment.
18. Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster.
19. Why-Question Answering using Intra- and Inter-Sentential Causal Relations.
20. Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web.
21. Why Question Answering using Sentiment Analysis and Word Classes.
22. Relation Acquisition using Word Classes and Partial Patterns.
23. Extending WordNet with Hypernyms and Siblings Acquired from Wikipedia.
24. Toward Finding Semantic Relations not Written in a Single Sentence: An Inference Method using Auto-Discovered Rules.
25. Co-STAR: A Co-training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text.
26. Generating information-rich taxonomy from Wikipedia.
27. Can Chinese Phonemes Improve Machine Transliteration?: A Comparative Study of English-to-Chinese Transliteration Models.
28. Machine Transliteration using Target-Language Grapheme and Phoneme: Multi-engine Transliteration Approach.
29. Bilingual Co-Training for Monolingual Hyponymy-Relation Acquisition.
30. Hypothesis Selection in Machine Transliteration: A Web Mining Approach.
31. Enriching Multilingual Language Resources by Discovering Missing Cross-Language Links in Wikipedia.
32. Validating Transliteration Hypotheses Using the Web: Web Counts vs. Web Mining.
33. Mining the Web for Transliteration Lexicons: Joint-Validation Approach.
34. Improving Machine Transliteration Performance by Using Multiple Transliteration Models.
35. Extracting English-Korean Transliteration Pairs from Web Corpora.
36. A Hybrid Model for Extracting Transliteration Equivalents from Parallel Corpora.
37. An Ensemble of Grapheme and Phoneme for Machine Transliteration.
38. A new way of PCA: integrated-squared-error and EM algorithms.
39. Term Recognition Using Technical Dictionary Hierarchy.
40. Learning Generative Models with the Up-Propagation Algorithm.
41. The Storage Capacity of a Fully-Connected Committee Machine.
42. Learning principal directions: Integrated-squared-error minimization.
43. Statistical Mechanics of the Mixture of Experts.
44. A machine transliteration model based on correspondence between graphemes and phonemes.
45. An Alignment Model for Extracting English-Korean Translations of Term Constituents.
46. A Comparison of Different Machine Transliteration Models.
47. An ensemble of transliteration models for information retrieval.
48. Learning by a Population of Perceptrons.
49. Machine Learning Based English-to-Korean Transliteration Using Grapheme and Phoneme Information.
50. Generalization in Partially Connected Layered Neural Networks.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.