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L. Venkata Subramaniam: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shourya Roy, L. Venkata Subramaniam
    Automatic Generation of Domain Models for Call-Centers from Noisy Transcriptions. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  2. L. Venkata Subramaniam, Sougata Mukherjea, Pankaj Kankar, Biplav Srivastava, Vishal S. Batra, Pasumarti V. Kamesam, Ravi Kothari
    Information extraction from biomedical literature: methodology, evaluation and an application. [Citation Graph (0, 0)][DBLP]
    CIKM, 2003, pp:410-417 [Conf]
  3. Tanveer A. Faruquie, Ashish Kapoor, Rohit J. Kate, Nitendra Rajput
    Audio Driven Facial Animation For Audio-Visual Reality. [Citation Graph (0, 0)][DBLP]
    ICME, 2001, pp:- [Conf]
  4. Tanveer A. Faruquie, Chalapathy Neti, Nitendra Rajput, L. Venkata Subramaniam, Ashish Verma
    Translingual Visual Speech Synthesis. [Citation Graph (0, 0)][DBLP]
    IEEE International Conference on Multimedia and Expo (II), 2000, pp:1089-1092 [Conf]
  5. Tanveer A. Faruquie, Abhik Majumdar, Nitendra Rajput, L. Venkata Subramaniam
    Large Vocabulary Audio-Visual Speech Recognition Using Active Shape Models. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3110-3113 [Conf]
  6. Rahul Malik, L. Venkata Subramaniam, Saroj Kaushik
    Automatically Selecting Answer Templates to Respond to Customer Emails. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1659-1664 [Conf]
  7. Sougata Mukherjea, L. Venkata Subramaniam, Gaurav Chanda, Sriram Sankararaman, Ravi Kothari, Vishal S. Batra, Deo N. Bhardwaj, Biplav Srivastava
    Enhancing a biomedical information extraction system with dictionary mining and context disambiguation. [Citation Graph (0, 0)][DBLP]
    IBM Journal of Research and Development, 2004, v:48, n:5-6, pp:693-702 [Journal]
  8. Robert L. Mack, Sougata Mukherjea, Aya Soffer, Naohiko Uramoto, Eric W. Brown, Anni Coden, James W. Cooper, Akihiro Inokuchi, Bhavani Iyer, Yosi Mass, Hirofumi Matsuzawa, L. Venkata Subramaniam
    Text analytics for life science using the Unstructured Information Management Architecture. [Citation Graph (0, 0)][DBLP]
    IBM Systems Journal, 2004, v:43, n:3, pp:490-515 [Journal]
  9. B. Sundar Rajan, L. Venkata Subramaniam, Rajendar Bahl
    Gilbert-Varshamov bound for Euclidean space codes over distance-uniform signal sets. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2002, v:48, n:2, pp:537-546 [Journal]
  10. Ashish Verma, L. Venkata Subramaniam, Nitendra Rajput, Chalapathy Neti, Tanveer A. Faruquie
    Animating expressive faces across languages. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Multimedia, 2004, v:6, n:6, pp:791-800 [Journal]
  11. Hironori Takeuchi, L. Venkata Subramaniam, Tetsuya Nasukawa, Shourya Roy, Sreeram Balakrishnan
    A Conversation-Mining System for Gathering Insights to Improve Agent Productivity. [Citation Graph (0, 0)][DBLP]
    CEC/EEE, 2007, pp:465-468 [Conf]

  12. Protecting Sensitive Customer Information in Call Center Recordings. [Citation Graph (, )][DBLP]


  13. Resource Allocation and SLA Determination for Large Data Processing Services over Cloud. [Citation Graph (, )][DBLP]


  14. A Knowledge Acquisition Method for Improving Data Quality in Services Engagements. [Citation Graph (, )][DBLP]


  15. Exploiting context to detect sensitive information in call center conversations. [Citation Graph (, )][DBLP]


  16. Identification of class specific discourse patterns. [Citation Graph (, )][DBLP]


  17. Business Intelligence from Voice of Customer. [Citation Graph (, )][DBLP]


  18. Data cleansing as a transient service. [Citation Graph (, )][DBLP]


  19. Automatically Extracting Dialog Models from Conversation Transcripts. [Citation Graph (, )][DBLP]


  20. Unsupervised Segmentation of Conversational Transcripts. [Citation Graph (, )][DBLP]


  21. Unsupervised learning of multilingual short message service (SMS) dialect from noisy examples. [Citation Graph (, )][DBLP]


  22. IITD-IBMIRL System for Question Answering Using Pattern Matching, Semantic Type and Semantic Category Recognition. [Citation Graph (, )][DBLP]


  23. Biomedical Document Triage: Automatic Classification Exploiting Category Specific Knowledge. [Citation Graph (, )][DBLP]


  24. Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers. [Citation Graph (, )][DBLP]


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