6 citations · 13 across the 7 of their papers we have counts for
8 papers · 1 filter
Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking
Takyoung Kim, Hoonsang Yoon, Yukyung Lee +2
Dialogue state tracking (DST) aims to extract essential information from multi-turn dialogue situations and take appropriate actions. A belief state, one of the core pieces of info…
K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables
Jounghee Kim, Pilsung Kang
Wav2vec 2.0 is an end-to-end framework of self-supervised learning for speech representation that is successful in automatic speech recognition (ASR), but most of the work on the t…
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
Junghoon Lee, Jounghee Kim, Pilsung Kang
Language models (LMs) pretrained on a large text corpus and fine-tuned on a downstream text corpus and fine-tuned on a downstream task becomes a de facto training strategy for seve…
MultiOIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT
Youngbin Ro, Yukyung Lee, Pilsung Kang
In this paper, we propose MultiOIE, which performs open information extraction (open IE) by combining BERT with multi-head attention. Our model is a sequence-labeling system wi…
Sentence transition matrix: An efficient approach that preserves sentence semantics
Myeongjun Jang, Pilsung Kang
Sentence embedding is a significant research topic in the field of natural language processing (NLP). Generating sentence embedding vectors reflecting the intrinsic meaning of a se…
Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition
Myeongjun Jang, Pilsung Kang
Sentence embedding is an important research topic in natural language processing. It is essential to generate a good embedding vector that fully reflects the semantic meaning of a…