BrailleSUM: A News Summarization System for the Blind and Visually Impaired People

In this article, we discuss the challenges of document summarization for the blind and visually impaired people and then propose a new system called BrailleSUM to produce better summaries for the blind and visually impaired people. Our system considers the factor of braille length of each sentence in news articles into the ILPbased summarization method. Evaluation results on a DUC dataset show that BrailleSUM can produce shorter braille summaries than existing methods, meanwhile, it does not sacrifice the content quality of the summaries.

[1]  Athanasios Manitsaris,et al.  Semantically enhanced browsing for blind people in the WWW , 2005, HYPERTEXT '05.

[2]  Dragomir R. Radev,et al.  LexPageRank: Prestige in Multi-Document Text Summarization , 2004, EMNLP.

[3]  Dilek Z. Hakkani-Tür,et al.  The ICSI Summarization System at TAC 2008 , 2008, TAC.

[4]  Hui Lin,et al.  Multi-document Summarization via Budgeted Maximization of Submodular Functions , 2010, NAACL.

[5]  Benoit Favre,et al.  A Scalable Global Model for Summarization , 2009, ILP 2009.

[6]  I. V. Ramakrishnan,et al.  Csurf: a context-driven non-visual web-browser , 2007, WWW '07.

[7]  Diamantino Freitas,et al.  Speech technologies for blind and low vision persons , 2008 .

[8]  Eduard H. Hovy,et al.  Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics , 2003, NAACL.

[9]  Xiaojun Wan,et al.  Cross-Language Document Summarization Based on Machine Translation Quality Prediction , 2010, ACL.

[10]  Eduard H. Hovy,et al.  From Single to Multi-document Summarization , 2002, ACL.

[11]  Yang Liu,et al.  Using Supervised Bigram-based ILP for Extractive Summarization , 2013, ACL.

[12]  M Shinohara,et al.  Three-dimensional tactile display for the blind. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  Frank Schilder,et al.  FastSum: Fast and Accurate Query-based Multi-document Summarization , 2008, ACL.

[14]  Hua Li,et al.  Document Summarization Using Conditional Random Fields , 2007, IJCAI.

[15]  Tao Li,et al.  Multi-Document Summarization via the Minimum Dominating Set , 2010, COLING.

[16]  Wenjie Li,et al.  Developing learning strategies for topic-based summarization , 2007, CIKM '07.

[17]  B. Boets,et al.  Parallel versus sequential processing in print and braille reading. , 2012, Research in developmental disabilities.

[18]  Dragomir R. Radev,et al.  Centroid-based summarization of multiple documents , 2004, Inf. Process. Manag..

[19]  Roope Raisamo,et al.  Methods for Presenting Braille Characters on a Mobile Device with a Touchscreen and Tactile Feedback , 2009, IEEE Transactions on Haptics.

[20]  J. C. Bliss,et al.  A direct translation reading aid for the blind , 1966 .

[21]  Rada Mihalcea,et al.  A Language Independent Algorithm for Single and Multiple Document Summarization , 2005, IJCNLP.

[22]  Kam-Fai Wong,et al.  Extractive Summarization Using Supervised and Semi-Supervised Learning , 2008, COLING.