Hao Tian


2020

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SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
Hao Tian | Can Gao | Xinyan Xiao | Hao Liu | Bolei He | Hua Wu | Haifeng Wang | Feng Wu
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Recently, sentiment analysis has seen remarkable advance with the help of pre-training approaches. However, sentiment knowledge, such as sentiment words and aspect-sentiment pairs, is ignored in the process of pre-training, despite the fact that they are widely used in traditional sentiment analysis approaches. In this paper, we introduce Sentiment Knowledge Enhanced Pre-training (SKEP) in order to learn a unified sentiment representation for multiple sentiment analysis tasks. With the help of automatically-mined knowledge, SKEP conducts sentiment masking and constructs three sentiment knowledge prediction objectives, so as to embed sentiment information at the word, polarity and aspect level into pre-trained sentiment representation. In particular, the prediction of aspect-sentiment pairs is converted into multi-label classification, aiming to capture the dependency between words in a pair. Experiments on three kinds of sentiment tasks show that SKEP significantly outperforms strong pre-training baseline, and achieves new state-of-the-art results on most of the test datasets. We release our code at https://github.com/baidu/Senta.

2016

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Multi-view Response Selection for Human-Computer Conversation
Xiangyang Zhou | Daxiang Dong | Hua Wu | Shiqi Zhao | Dianhai Yu | Hao Tian | Xuan Liu | Rui Yan
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

2014

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Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System
Zhuoran Wang | Hongliang Chen | Guanchun Wang | Hao Tian | Hua Wu | Haifeng Wang
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2013

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Cross-lingual Projections between Languages from Different Families
Mo Yu | Tiejun Zhao | Yalong Bai | Hao Tian | Dianhai Yu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Compound Embedding Features for Semi-supervised Learning
Mo Yu | Tiejun Zhao | Daxiang Dong | Hao Tian | Dianhai Yu
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2006

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Chinese Word Segmentation with Maximum Entropy and N-gram Language Model
Xinhao Wang | Xiaojun Lin | Dianhai Yu | Hao Tian | Xihong Wu
Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing