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- Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li
- ICML
- 2007
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative filtering, and many… (More)
In this paper we address the issue of learning to rank for document retrieval. In the task, a model is automatically created with some training data and then is utilized for ranking of documents. The… (More)
- Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen
- NIPS
- 2014
Semantic matching is of central importance to many natural language tasks [2, 28]. A successful matching algorithm needs to adequately model the internal structures of language objects and the… (More)
- Lifeng Shang, Zhengdong Lu, Hang Li
- ACL
- 2015
We propose Neural Responding Machine (NRM), a neural networ k-based response generator for Short-Text Conversation. NRM takes the general encoder-de coder framework: it formalizes the generation of… (More)
- Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li
- ICML
- 2008
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimizing a loss function… (More)
- Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon
- SIGIR
- 2006
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must consider when… (More)
- Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
- Information Retrieval
- 2009
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the LETOR collection and… (More)
- Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li
- ACL
- 2016
Attention mechanism has enhanced stateof-the-art Neural Machine Translation (NMT) by jointly learning to align and translate. It tends to ignore past alignment information, however, which often leads… (More)
- Huanhuan Cao, Daxin Jiang, +4 authors Hang Li
- KDD
- 2008
Query suggestion plays an important role in improving the usability of search engines. Although some recently proposed methods can make meaningful query suggestions by mining query patterns from… (More)
- Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
- ACL
- 2016
We address an important problem in sequence-to-sequence (Seq2Seq) learning referred to as copying, in which certain segments in the input sequence are selectively replicated in the output sequence. A… (More)