IDRC Digital Library

Breaking the barriers to Internet access / Faire tomber les obstacles entravant l’accès à Internet

Breaking the barriers to Internet access / Faire tomber les obstacles entravant l’accès à Internet

 

Recent Submissions

  • Li, Ming; Zhu, Xiaoyan (2017-03-05)
    Since in the first project we have established solid theories (for instance, conditional information distance, semantic distance, concept relatedness, etc.) and techniques (such as question analysis, answer extraction, ...
  • Xiaoyan Zhu; Ming Li; Yu Hao (Tsinghua University, People's Republic of China, 2014-08-15)
    This project aims to overcome language and technology barriers to acquiring information through the Internet. We intend to invent new techniques to simplify internet search processes by developing a natural language search ...
  • Fangtao Li; Sinno Jialin Pan; Ou Jin; Qiang Yang; Xiaoyan Zhu (2012)
    The goal is automatic extraction of relevant terms from a domain of interest. In the past few years, opinion mining and sentiment analysis have attracted much attention in natural language processing and information ...
  • Fan Bu; Hang Li; Xiaoyan Zhu (2012)
    Learning for sentence re-writing is a fundamental task in natural language processing and information retrieval. In this paper, we propose a new class of kernel functions, referred to as string re-writing kernel, to ...
  • Lei Fang; Minlie Huang (Association for Computational Linguistics, 2012)
    In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Online reviews have become a major resource where users find opinions ...
  • Minlie Huang; Xing Shi; Feng Jin; Xiaoyan Zhu (Association for the Advancement of Artificial Intelligence (AAAI), 2012)
    Sentence compression is one of the most challenging tasks in natural language processing, which may be of increasing interest to many applications such as abstractive summarization and text simplification for mobile devices. ...
  • Zhicheng Zheng; Xiance Si; Chang, Edward Y.; Xiaoyan Zhu (Asian Federation of Natural Language Processing (AFNLP), 2011)
    Garbage in and garbage out. A Q&A system must receive a well formulated question that matches the user’s intent or she has no chance to receive satisfactory answers. In this paper, we propose a keywords to questions ...
  • Minlie Huang; Yi Yang; Xiaoyan Zhu (Asian Federation of Natural Language Processing (AFNLP), 2011)
    The abundance of user-generated content comes at a price: the quality of content may range from very high to very low. We propose a regression approach that incorporates various features to recommend short-text ...
  • Fan Bu; Xiao-Yan Zhu; Ming Li (Springer Science+Business Media, 2011)
    Multiword Expressions (MWEs) appear frequently and ungrammatically in natural languages. Identifying MWEs in free texts is a very challenging problem. This paper proposes a knowledge-free, unsupervised, and language- independent ...
  • Tang, Yang; Li, Fangtao; Huang, Minlie; Zhu, Xiaoyan (2010)
    As online community question answering (cQA) portals like Yahoo! Answers1 and Baidu Zhidao2 have attracted over hundreds of millions of questions, how to utilize these questions and accordant answers becomes increasingly ...
  • Long, C; Huang, M L; Zhu, X Y; Li, M (2009)
    Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper described a novel approach for multi-document update summarization. ...
  • Long, Chong; Huang, Min-Lie; Zhu, Xiao-Yan; Li, Ming (2010)
    Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel approach for multi-document update summarization. ...
  • Long, Chong; Zhang, Lei; Huang, Minlie; Zhu, Xiaoyan; Li, Ming (IEEE, 2009-09)
    On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate feature ratings of the products. This approach ...
  • Li, Fangtao; Tang, Yang; Huang, Minlie; Zhu, Xiaoyan (2009-08)
    Opinion Question Answering (Opinion QA), which aims to find the authors’ sentimental opinions on a specific target, is more challenging than traditional fact-based question answering problems. To extract the opinion ...
  • Li, Fan; Zheng, Zhicheng; Bu, Fan; Tang, Yang; Zhu, Xiaoyan (2009-11)
    This paper describes the systems of THU QUANTA in Text Analysis Conference (TAC) 2009. We participated in the Knowledge Base Population (KBP) track, and the Recognizing Textual Entailment (RTE) track. For the KBP track, ...
  • LI, Fangtao; Huang, Minlie; Zhu, Xiaoyan (Association for the Advancement of Artificial Intelligence (AAAI), Palo Alto, California, 2010-07)
    With the development of Web 2.0, sentiment analysis has now become a popular research problem to tackle. Recently, topic models have been introduced for the simultaneous analysis for topics and the sentiment in a document. ...
  • Long, Chong; Huang, Minlie; Zhu, Xiaoyan (2009-11)
    This paper presents our extractive summarization systems at the update summarization track of TAC 2009. This system is based on our newly developed document summarization framework under the theory of conditional information ...
  • Zheng, Zhicheng; Tang, Yang; Long, Chong; Bu, Fan; Zhu, Xiaoyan (2010-05)
    After a long period of research in factoid QA, such kind of questions has already been solved quite well. However, real users always concern on some more complicated questions such as ”Why XXXX?” or ”How XXXX?”. These ...
  • Zheng, Zhicheng; Li, Fangtao; Huang, Minlie; Zhu, Xiaoyan (2010-06)
    This paper address the problem of entity linking. Specifically, given an entity mentioned in unstructured texts, the task is to link this entity with an entry stored in the existing knowledge base. This is an important ...
  • Liu, Jingchen; Huang, Minlie; Zhu, Xiaoyan (Association for Computational Linguistics, Stroudsburg, PA, 2010-07)
    Linear-chain Conditional Random Fields (CRF) has been applied to perform the Named Entity Recognition (NER) task in many biomedical text mining and information extraction systems. However, the linear-chain CRF cannot ...

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