2017-Session-2: Difference between revisions
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'''FEIII CHALLENGE | '''FEIII CHALLENGE PAPERS''' | ||
'''Predicting Role Relevance with Deep Learning in a Financial Domain''' | '''Predicting Role Relevance with Deep Learning in a Financial Domain''' | ||
Revision as of 18:59, 6 April 2017
FEIII CHALLENGE PAPERS
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
Thomson Reuters' Solution for Triple Ranking in the FEIII 2017 Challenge
Elizabeth Roman 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
Entity Relationship Ranking Using Differential Keyword-Role Affinity Rohit Naini and Pawan Yadav
FactSet - The Advantage of Scored Data Raymond Hicks