Search Results - "PENG, Baolin"

Recurrent conditional random field for language understanding by Kaisheng Yao, Baolin Peng, Zweig, Geoffrey, Dong Yu, Xiaolong Li, Feng Gao

“…Recurrent neural networks (RNNs) have recently produced record setting performance in language modeling and word-labeling tasks. In the word-labeling task, the…”
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Collaborative personal profiling for web service ranking and recommendation by Rong, Wenge, Peng, Baolin, Ouyang, Yuanxin, Liu, Kecheng, Xiong, Zhang

“…Web service is one of the most fundamental technologies in implementing service oriented architecture (SOA) based applications. One essential challenge related…”
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Contextual spoken language understanding using recurrent neural networks by Yangyang Shi, Kaisheng Yao, Hu Chen, Yi-Cheng Pan, Mei-Yuh Hwang, Baolin Peng

“…We present a contextual spoken language understanding (contextual SLU) method using Recurrent Neural Networks (RNNs). Previous work has shown that context…”
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Structural information aware deep semi-supervised recurrent neural network for sentiment analysis by RONG, Wenge, PENG, Baolin, OUYANG, Yuanxin, LI, Chao, XIONG, Zhang

“…With the development of Internet, people are more likely to post and propagate opinions online. Sentiment analysis is then becoming an important challenge to…”
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Spoken language understanding using long short-term memory neural networks by Kaisheng Yao, Baolin Peng, Yu Zhang, Dong Yu, Zweig, Geoffrey, Yangyang Shi

“…Neural network based approaches have recently produced record-setting performances in natural language understanding tasks such as word labeling. In the word…”
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A factorization network based method for multi-lingual domain classification by Yangyang Shi, Yi-Cheng Pan, Mei-Yuh Hwang, Kaisheng Yao, Hu Chen, Yuanhang Zou, Baolin Peng

“…In many spoken language understanding systems (SLUS), domain classification is the most crucial component, as system responses based on wrong domains often…”
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Soloist: Building Task Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…We present a new method, Soloist, that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular task-oriented…”
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Electromigration effect of nano-Fe3O4 in concrete under chloride erosion environment by Pan, Chonggen, Hu, Yu, Qu, Shiyang, Peng, Baolin

“…In order to improve the effectiveness of electro-migration repair technology, researchers have introduced new materials to address the adverse effects of…”
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Water resistant, biodegradable and flexible corn starch/carboxymethyl cellulose composite film for slow-release fertilizer coating materials by Hu, Guirong, Lan, Xianyu, Peng, Baolin, Liao, Jixing, Xiong, Yuzhu

“…The inherent limitations of Cornstarch (CS) and Carboxymethyl Cellulose (CMC) membranes, such as brittleness, fragility, and water solubility, limit their use…”
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Hierarchical reinforcement learning for automatic disease diagnosis by Zhong, Cheng, Liao, Kangenbei, Chen, Wei, Liu, Qianlong, Peng, Baolin, Huang, Xuanjing, Peng, Jiajie, Wei, Zhongyu

“…Abstract Motivation Disease diagnosis-oriented dialog system models the interactive consultation procedure as the Markov decision process, and reinforcement…”
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An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning by Jiang, Nan, Rong, Wenge, Peng, Baolin, Nie, Yifan, Xiong, Zhang

“…Machine learning algorithms depend heavily on the data representation, which dominates its success in experiment accuracy. Autoencoder model structure is…”
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Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning by Peng, Baolin, Li, Xiujun, Gao, Jianfeng, Liu, Jingjing, Chen, Yun-Nung, Wong, Kam-Fai

“…This paper presents a new method - adversarial advantage actor-critic (Adversarial A2C), which significantly improves the efficiency of dialogue policy…”
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Novel Methods for Efficient Dialogue Policy Learning by Improving Agent-User Interaction by Peng, Baolin

“…Building a dialogue system to converse with humans for different tasks remains one of the challenges for Natural Language Processing. In this area, a critical…”
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Auto-encoder based bagging architecture for sentiment analysis by Rong, Wenge, Nie, Yifan, Ouyang, Yuanxin, Peng, Baolin, Xiong, Zhang

“…Sentiment analysis has long been a hot topic for understanding users statements online. Previously many machine learning approaches for sentiment analysis such…”
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Semi-supervised Dual Recurrent Neural Network for Sentiment Analysis by Wenge Rong, Baolin Peng, Yuanxin Ouyang, Chao Li, Zhang Xiong

“…Sentiment analysis is one of the most important challenges to understand opinions online. In this research, inspired by the idea that the structural…”
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S oloist : BuildingTask Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…Abstract We present a new method, Soloist,1 that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular…”
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S oloist : Building Task Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…We present a new method, , that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular task-oriented dialog…”
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Performance of Copper‐Graphite‐Polytetrafluoroethylene Composites Fabricated by Spark Plasma Sintering and Hydrothermal Impregnation by Jiang, Dafa, Jiang, Zhongcheng, Zhang, Jun, Lin, Ping, Peng, Baolin, Zhang, Haifeng, Liao, Jiapeng, Li, Wang, Zou, Jianpeng

“…Copper‐graphite composites prepared by spark plasma sintering (SPS) were used as raw material to synthesize copper‐graphite‐polytetrafluoroethylene (PTFE)…”
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Overview of the Ninth Dialog System Technology Challenge: DSTC9 by Gunasekara, Chulaka, Kim, Seokhwan, D'Haro, Luis Fernando, Rastogi, Abhinav, Chen, Yun-Nung, Eric, Mihail, Hedayatnia, Behnam, Gopalakrishnan, Karthik, Liu, Yang, Huang, Chao-Wei, Hakkani-Tur, Dilek, Li, Jinchao, Zhu, Qi, Luo, Lingxiao, Liden, Lars, Huang, Kaili, Shayandeh, Shahin, Liang, Runze, Peng, Baolin, Zhang, Zheng, Shukla, Swadheen, Huang, Minlie, Gao, Jianfeng, Mehri, Shikib, Feng, Yulan, Gordon, Carla, Alavi, Seyed Hossein, Traum, David, Eskenazi, Maxine, Beirami, Ahmad, Cho, Eunjoon, Crook, Paul A., De, Ankita, Geramifard, Alborz, Kottur, Satwik, Moon, Seungwhan, Poddar, Shivani, Subba, Rajen

“…This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for…”
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Overview of the Eighth Dialog System Technology Challenge: DSTC8 by Kim, Seokhwan, Galley, Michel, Gunasekara, Chulaka, Lee, Sungjin, Atkinson, Adam, Peng, Baolin, Schulz, Hannes, Gao, Jianfeng, Li, Jinchao, Adada, Mahmoud, Huang, Minlie, Lastras, Luis, Kummerfeld, Jonathan K., Lasecki, Walter S., Hori, Chiori, Cherian, Anoop, Marks, Tim K., Rastogi, Abhinav, Zang, Xiaoxue, Sunkara, Srinivas, Gupta, Raghav

“…This paper introduces the Eighth Dialog System Technology Challenge. In line with recent challenges, the eighth edition focuses on applying end-to-end dialog…”
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