371 citations · 2.1k across the 193 of their papers we have counts for
10 papers · 1 filter
Supervised and Unsupervised Transfer Learning for Question Answering
Yu-An Chung, Hung-Yi Lee, James Glass
Although transfer learning has been shown to be successful for tasks like object and speech recognition, its applicability to question answering (QA) has yet to be well-studied. In…
Personalized word representations Carrying Personalized Semantics Learned from Social Network Posts
Zih-Wei Lin, Tzu-Wei Sung, Hung-Yi Lee +1
Distributed word representations have been shown to be very useful in various natural language processing (NLP) application tasks. These word vectors learned from huge corpora very…
Query-based Attention CNN for Text Similarity Map
Tzu-Chien Liu, Yu-Hsueh Wu, Hung-Yi Lee
In this paper, we introduce Query-based Attention CNN(QACNN) for Text Similarity Map, an end-to-end neural network for question answering. This network is composed of compare mecha…
Mitigating the Impact of Speech Recognition Errors on Chatbot using Sequence-to-Sequence Model
Pin-Jung Chen, I-Hung Hsu, Yi-Yao Huang +1
We apply sequence-to-sequence model to mitigate the impact of speech recognition errors on open domain end-to-end dialog generation. We cast the task as a domain adaptation problem…
Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification
Bo-Ru Lu, Frank Shyu, Yun-Nung Chen +2
Connectionist temporal classification (CTC) is a powerful approach for sequence-to-sequence learning, and has been popularly used in speech recognition. The central ideas of CTC in…
Query-by-example Spoken Term Detection using Attention-based Multi-hop Networks
Chia-Wei Ao, Hung-yi Lee
Retrieving spoken content with spoken queries, or query-by- example spoken term detection (STD), is attractive because it makes possible the matching of signals directly on the aco…
Learning Chinese Word Representations From Glyphs Of Characters
Tzu-Ray Su, Hung-Yi Lee
In this paper, we propose new methods to learn Chinese word representations. Chinese characters are composed of graphical components, which carry rich semantics. It is common for a…
Language Transfer of Audio Word2Vec: Learning Audio Segment Representations without Target Language Data
Chia-Hao Shen, Janet Y. Sung, Hung-Yi Lee
Audio Word2Vec offers vector representations of fixed dimensionality for variable-length audio segments using Sequence-to-sequence Autoencoder (SA). These vector representations ar…
Personalized Acoustic Modeling by Weakly Supervised Multi-Task Deep Learning using Acoustic Tokens Discovered from Unlabeled Data
Cheng-Kuan Wei, Cheng-Tao Chung, Hung-Yi Lee +1
It is well known that recognizers personalized to each user are much more effective than user-independent recognizers. With the popularity of smartphones today, although it is not…
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries
Yu-Hsuan Wang, Cheng-Tao Chung, Hung-yi Lee
In this paper we analyze the gate activation signals inside the gated recurrent neural networks, and find the temporal structure of such signals is highly correlated with the phone…