Renxian Zhang


2023

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GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications
Dae Yon Hwang | Yaroslav Nechaev | Cyprien de Lichy | Renxian Zhang
Proceedings of the 16th International Natural Language Generation Conference

In this work, we investigate Data Augmentation methods to improve the performance of state-of-the-art models for four different downstream tasks. Specifically, we propose Generative Adversarial Network using Language Models (GAN-LM) approach that combines a deep generative model with a pre-trained language model to produce diverse augmentations. We compare the GAN-LM to various conventional methods in non-contextual- and contextual-levels on four public datasets: ZESHEL for zero-shot entity linking, TREC for question classification, STS-B for sentence pairs semantic textual similarity (STS), and mSTS for multilingual sentence pairs STS. Additionally, we subsample these datasets to study the impact of such augmentations in low-resource settings where limited amounts of training data is available. Compared to the state-of-the-art methods in downstream tasks, we mostly achieve the best performance using GAN-LM approach. Finally, we investigate the way of combining the GAN-LM with other augmentation methods to complement our proposed approach. The developed code for reproducibility is included in the supplementary material.

2016

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Detecting “Smart” Spammers on Social Network: A Topic Model Approach
Linqing Liu | Yao Lu | Ye Luo | Renxian Zhang | Laurent Itti | Jianwei Lu
Proceedings of the NAACL Student Research Workshop

2013

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Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics
Dehong Gao | Wenjie Li | Renxian Zhang
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2012

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Towards Scalable Speech Act Recognition in Twitter: Tackling Insufficient Training Data
Renxian Zhang | Dehong Gao | Wenjie Li
Proceedings of the Workshop on Semantic Analysis in Social Media

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Efficient Feedback-based Feature Learning for Blog Distillation as a Terabyte Challenge
Dehong Gao | Wenjie Li | Renxian Zhang
Proceedings of COLING 2012: Demonstration Papers

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Beyond Twitter Text: A Preliminary Study on Twitter Hyperlink and its Application
Dehong Gao | Wenjie Li | Renxian Zhang
Proceedings of COLING 2012: Demonstration Papers

2011

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Sentence Ordering Driven by Local and Global Coherence for Summary Generation
Renxian Zhang
Proceedings of the ACL 2011 Student Session

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Simultaneous Clustering and Noise Detection for Theme-based Summarization
Xiaoyan Cai | Renxian Zhang | Dehong Gao | Wenjie Li
Proceedings of 5th International Joint Conference on Natural Language Processing

2010

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273. Task 5. Keyphrase Extraction Based on Core Word Identification and Word Expansion
You Ouyang | Wenjie Li | Renxian Zhang
Proceedings of the 5th International Workshop on Semantic Evaluation

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A Study on Position Information in Document Summarization
You Ouyang | Wenjie Li | Qin Lu | Renxian Zhang
Coling 2010: Posters

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Sentence Ordering with Event-Enriched Semantics and Two-Layered Clustering for Multi-Document News Summarization
Renxian Zhang | Wenjie Li | Qin Lu
Coling 2010: Posters