Day 3 Posters
, -
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
Meiqi Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani
Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning
Huiru Xiao, Yangqiu Song
Commonsense Reasoning with Implicit Knowledge in Natural Language
Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction
Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction
William P Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Baeza, Andrew Bartko, Chun-Nan Hsu
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Arie Cattan, Sophie Johnson, Daniel S Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning
Chadi Helwe, Chloé Clavel, Fabian M. Suchanek
Analyzing Commonsense Emergence in Few-shot Knowledge Models
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
KnowFi: Knowledge Extraction from Long Fictional Texts
Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
Simon Ott, Christian Meilicke, Matthias Samwald
