6 papers
A Study of MatchPyramid Models on Ad-hoc Retrieval
Liang Pang, Yanyan Lan, Jiafeng Guo +2
Deep neural networks have been successfully applied to many text matching tasks, such as paraphrase identification, question answering, and machine translation. Although ad-hoc ret…
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu +3
Semantic matching, which aims to determine the matching degree between two texts, is a fundamental problem for many NLP applications. Recently, deep learning approach has been appl…
Semantic Regularities in Document Representations
Fei Sun, Jiafeng Guo, Yanyan Lan +2
Recent work exhibited that distributed word representations are good at capturing linguistic regularities in language. This allows vector-oriented reasoning based on simple linear…
Text Matching as Image Recognition
Liang Pang, Yanyan Lan, Jiafeng Guo +3
Matching two texts is a fundamental problem in many natural language processing tasks. An effective way is to extract meaningful matching patterns from words, phrases, and sentence…
Topic-focused Dynamic Information Filtering in Social Media
Yadong Zhu, Yanyan Lan, Jiafeng Guo +1
With the quick development of online social media such as twitter or sina weibo in china, many users usually track hot topics to satisfy their desired information need. For a hot t…
Structural Learning of Diverse Ranking
Yadong Zhu, Yanyan Lan, Jiafeng Guo +1
Relevance and diversity are both crucial criteria for an effective search system. In this paper, we propose a unified learning framework for simultaneously optimizing both relevanc…