2017-Session-2: Difference between revisions
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'''FEIII | '''FEIII Participant Reports''' | ||
'''Predicting Role Relevance with Deep Learning in a Financial Domain''' | '''Predicting Role Relevance with Deep Learning in a Financial Domain''' | ||
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'''Ranking Sentences Describing Relationships Between Financial Entities by Relevance''' | '''Ranking Sentences Describing Relationships Between Financial Entities by Relevance''' | ||
Tim Repke and Michael Loster and Ralf Krestel | Tim Repke and Michael Loster and Ralf Krestel | ||
'''Entity Relationship Ranking Using Differential Keyword-Role Affinity''' | '''Entity Relationship Ranking Using Differential Keyword-Role Affinity''' | ||
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