PUBLICATION
International Conference
| No. | Journal Information | DOWNLOAD |
|---|---|---|
| 103 | W. I. Cho, J. Cho, W. H. Kang, and N. S. Kim, "Text matters but speech influences: A computational analysis of syntactic ambiguity resolution," CogSci, pp. 1953-1959, Jul. 2020. | DOWNLOAD |
| 102 | M. H. Han, W. H. Kang, S. H. Mun, and N. S. Kim, "Information preservation pooling for speaker embedding," in Proc. Odyssey 2020, The Speaker and Language Recognition Workshop, pp. 60-66, May 2020. | DOWNLOAD |
| 101 | W. I. Cho, S. M. Kim, and N. S. Kim, "Towards an efficient code-mixed grapheme-to-phoneme conversion in an agglutinative language: A case study on to-Korean transliteration," in Proc. W-CALCS, pp. 65-70, May 2020. | DOWNLOAD |
| 100 | W. I. Cho, J. I. Kim, Y. K. Moon, and N. S. Kim, "Discourse component to sentence (DC2S): An efficient human-aided construction of paraphrase and sentence similarity dataset," in Proc. LREC, pp. 6819-6826, May 2020. | DOWNLOAD |
| 99 | K. Kwon, H. Na, H. Lee, and N. S. Kim, "Adaptive knowledge distillation based on entropy", in Proc. ICASSP, pp. 7409-7413, May. 2020. | DOWNLOAD |
| 98 | W. I. Cho, Y. K. Moon, and N. S. Kim, "Discourse component-based argument extraction of Seoul Korean directives," JK 27, Oct. 2019. | DOWNLOAD |
| 97 | W. I. Cho, S. M. Kim, and N. S. Kim, "Investigating an effective character-level embedding in Korean sentence classification," in Proc. PACLIC 33, pp. 20-28, Sep. 2019. | DOWNLOAD |
| 96 | H. Lee, H. Y. Kim, W. H. Kang, J. Kim, and N. S. Kim, “End-to-end multichannel speech enhancement using inter-channel time-restricted attention on raw waveform,” Interspeech 2019, pp. 4285-4289, Sep. 2019. | DOWNLOAD |
| 95 | W. I. Cho*, J. Cho*, J. Kang, and N. S. Kim, "Prosody-semantics interface in Seoul Korean: Corpus for a disambiguation of wh- intervention," ICPhS 2019, pp. 3902-3906, Aug. 2019. | DOWNLOAD |
| 94 | W. I. Cho, J. W. Kim, S. M. Kim, and N. S. Kim, "On measuring gender bias in translation of gender-neutral pronouns," 1st ACL Workshop on Gender Bias for Natural Language Processing (GeBNLP), pp. 173-181, Aug. 2019. | DOWNLOAD |
Room 415 INMC (bldg. 132), Seoul National University, 1 Gwanak-ro (San 56-1, Sillim-dong), Gwanak-gu, Seoul, Korea, 08826
Tel : +82-2-880-8439, +82-2-884-1824
COPYRIGHT©휴먼인터페이스 ALL RIGHT RESERVED