Miao Fan


2019

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Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews
Miao Fan | Chao Feng | Mingming Sun | Ping Li
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

To automatically assess the helpfulness of a customer review online, conventional approaches generally acquire various linguistic and neural embedding features solely from the textual content of the review itself as the evidence. We, however, find out that a helpful review is largely concerned with the metadata (such as the name, the brand, the category, etc.) of its target product. It leaves us with a challenge of how to choose the correct key-value product metadata to help appraise the helpfulness of free-text reviews more precisely. To address this problem, we propose a novel framework composed of two mutual-benefit modules. Given a product, a selector (agent) learns from both the keys in the product metadata and one of its reviews to take an action that selects the correct value, and a successive predictor (network) makes the free-text review attend to this value to obtain better neural representations for helpfulness assessment. The predictor is directly optimized by SGD with the loss of helpfulness prediction, and the selector could be updated via policy gradient rewarded with the performance of the predictor. We use two real-world datasets from Amazon.com and Yelp.com, respectively, to compare the performance of our framework with other mainstream methods under two application scenarios: helpfulness identification and regression of customer reviews. Extensive results demonstrate that our framework can achieve state-of-the-art performance with substantial improvements.

2015

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Improving Event Detection with Active Learning
Kai Cao | Xiang Li | Miao Fan | Ralph Grishman
Proceedings of the International Conference Recent Advances in Natural Language Processing

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Jointly Embedding Relations and Mentions for Knowledge Population
Miao Fan | Kai Cao | Yifan He | Ralph Grishman
Proceedings of the International Conference Recent Advances in Natural Language Processing

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Distant Supervision for Entity Linking
Miao Fan | Qiang Zhou | Thomas Fang Zheng
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation

2014

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Transition-based Knowledge Graph Embedding with Relational Mapping Properties
Miao Fan | Qiang Zhou | Emily Chang | Thomas Fang Zheng
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing

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Distant Supervision for Relation Extraction with Matrix Completion
Miao Fan | Deli Zhao | Qiang Zhou | Zhiyuan Liu | Thomas Fang Zheng | Edward Y. Chang
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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Bringing the Associative Ability to Social Tag Recommendation
Miao Fan | Yingnan Xiao | Qiang Zhou
Workshop Proceedings of TextGraphs-7: Graph-based Methods for Natural Language Processing