Difference between revisions of "2017-Session-2"

(Created page with "'''FEIII CHALLENGE PAPER''' '''Financial Entity Identification and Information Integration (FEIII) Challenge: The Report of the Organizing Committee''' Mark Flood), J. G...")
 
 
(3 intermediate revisions by the same user not shown)
Line 1: Line 1:
'''FEIII CHALLENGE PAPER'''
+
'''FEIII Participant Reports'''
  
  '''Financial Entity Identification and Information Integration (FEIII) Challenge: The Report of the Organizing Committee'''
+
  '''Predicting Role Relevance with Deep Learning in a Financial Domain'''
     Mark Flood), J. Grant, H. Luo, L. Raschid, I. Soboroff, K. Yoo
+
     Mayank Kejriwal
  
  '''Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities'''
+
  '''Understanding Relations using Concepts and Semantics '''
     Ahmad Samiei, Ioannis Koumarelas, Michael Loster, Felix Naumann
+
     Jouyon Park and Hyunsouk Cho and Seungwon Hwang
  
  '''An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge'''
+
  '''Hybrid Feature Factored System for Scoring Extracted Passage Relevance in Regulatory Filings'''
     Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy
+
     Denys Proux and Claude Roux and Agnes Sandor and Julien Perez
  
  '''Thomson Reuters and the FEIII Challenge'''
+
  '''Ranking Sentences Describing Relationships Between Financial Entities by Relevance'''
     B. Ulicny, A. Constandache, J. Cunningham, M. Traub, K. Yu, C. Azeglio, M. Saito-Varadi
+
     Tim Repke and Michael Loster and Ralf Krestel
  
  '''Financial Entity Record Linkage with Random Forests'''
+
  '''Entity Relationship Ranking Using Differential Keyword-Role Affinity'''
     Kunho Kim, C. Lee Giles
+
     Rohit Naini and Pawan Yadav
  
  '''Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets'''
+
  '''FactSet - The Advantage of Scored Data'''
    Douglas Burdick, Lucian Popa, Rajasekar Krishnamurthy
+
     Raymond Hicks
 
 
'''FactSet Concordance: Entity Data Management'''
 
     Raymond Bentley Hicks
 
 
 
'''Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations'''
 
    Mayank Kejriwal, Daniel Miranker
 

Latest revision as of 06:25, 6 May 2017

FEIII Participant Reports

Predicting Role Relevance with Deep Learning in a Financial Domain
   Mayank Kejriwal
Understanding Relations using Concepts and Semantics 
   Jouyon Park and Hyunsouk Cho and Seungwon Hwang
Hybrid Feature Factored System for Scoring Extracted Passage Relevance in Regulatory Filings
   Denys Proux and Claude Roux and Agnes Sandor and Julien Perez
Ranking Sentences Describing Relationships Between Financial Entities by Relevance
   Tim Repke and Michael Loster and Ralf Krestel
Entity Relationship Ranking Using Differential Keyword-Role Affinity
   Rohit Naini and Pawan Yadav
FactSet - The Advantage of Scored Data
   Raymond Hicks