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'''DSMM Long and Short Papers'''
'''DSMM and FEIII Participant Reports'''
 
''' LONG'''
 
'''Karsha Visual Analytics of Tensor Factors to Monitor the Co-Movement of Equity Prices'''
    Louiqa Raschid and Joe Langsam and Mark Flood and Tharindu Peiris and Anushka Bandara
 
'''SHORT'''
 
'''Balance Sheet Probability Factorization for Market Surveillance'''
    Shawn Mankad
 
'''Thomson Reuters' Submission to the FEIII 2017 Challenge Non-scored Tasks'''
    Elizabeth and Brian Ulicny


  '''Web Text-based Network Industry Classifications: Preliminary Results'''
  '''Web Text-based Network Industry Classifications: Preliminary Results'''
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  '''Extracting Knowledge Graphs from Financial Filings'''
  '''Extracting Knowledge Graphs from Financial Filings'''
     Jay Pujara
     Jay Pujara
'''Thomson Reuters' Submission to the FEIII 2017 Challenge Non-scored Tasks'''
    Elizabeth and Brian Ulicny
'''Towards Re-defining Relation Understanding in Financial Domain'''
    Chenguang Wang and Doug Burdick and Laura Chiticariu and Rajasekar Krishnamurthy
    and Yunyao Li and Huaiyu Zhu


  '''Exploring Financial Relationships Using Probabilistic Topic Models (Demonstration Paper)'''
  '''Exploring Financial Relationships Using Probabilistic Topic Models (Demonstration Paper)'''
     Louiqa Raschid and Elena Zotkina and Zheng Xu
     Louiqa Raschid and Elena Zotkina and Zheng Xu

Latest revision as of 06:24, 6 May 2017

DSMM and FEIII Participant Reports

Web Text-based Network Industry Classifications: Preliminary Results
   Gerard Hoberg and Gordon Phillips and Craig Knoblock and Pedro Szekely and
   Eric Heiden and Palak Modi and Gaurangi Raul 
Extracting Knowledge Graphs from Financial Filings
   Jay Pujara
Thomson Reuters' Submission to the FEIII 2017 Challenge Non-scored Tasks
    Elizabeth and Brian Ulicny
Towards Re-defining Relation Understanding in Financial Domain
    Chenguang Wang and Doug Burdick and Laura Chiticariu and Rajasekar Krishnamurthy
    and Yunyao Li and Huaiyu Zhu
Exploring Financial Relationships Using Probabilistic Topic Models (Demonstration Paper)
   Louiqa Raschid and Elena Zotkina and Zheng Xu