This paper proposes a novel user intention simulation method which is a data-driven approach but able to integrate diverse user discourse knowledge together to simulate various ty...
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Gary G...
This paper proposes a method to extract product features from user reviews and generate a review summary. This method only relies on product specifications, which usually are easy...
This paper presents a new term extraction approach using relevance between term candidates calculated by a link analysis based method. Different types of relevance are used separa...
Tree-based statistical machine translation models have made significant progress in recent years, especially when replacing 1-best trees with packed forests. However, as the parsi...
Hao Xiong, Wenwen Xu, Haitao Mi, Yang Liu, Qun Liu
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...