38 citations · 99 across the 23 of their papers we have counts for
6 papers · 1 filter
Neural Content Extraction for Poster Generation of Scientific Papers
Sheng Xu, Xiaojun Wan
The problem of poster generation for scientific papers is under-investigated. Posters often present the most important information of papers, and the task can be considered as a sp…
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark
Yuan Yao, Qingxiu Dong, Jian Guan +32
Realizing general-purpose language intelligence has been a longstanding goal for natural language processing, where standard evaluation benchmarks play a fundamental and guiding ro…
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
Zhaohong Wan, Xiaojun Wan
Grammatical Error Correction (GEC) is a task of detecting and correcting grammatical errors in sentences. Recently, neural machine translation systems have become popular approache…
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling
Zhixian Yang, Pengxuan Xu, Xiaojun Wan
Neural text generation models are likely to suffer from the low-diversity problem. Various decoding strategies and training-based methods have been proposed to promote diversity on…
Learning a Product Relevance Model from Click-Through Data in E-Commerce
Shaowei Yao, Jiwei Tan, Xi Chen +4
The search engine plays a fundamental role in online e-commerce systems, to help users find the products they want from the massive product collections. Relevance is an essential r…
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
Qingxiu Dong, Xiaojun Wan, Yue Cao
We propose ParaSCI, the first large-scale paraphrase dataset in the scientific field, including 33,981 paraphrase pairs from ACL (ParaSCI-ACL) and 316,063 pairs from arXiv (ParaSCI…