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ORCID6th AKBC@NIPS 2017: Long Beach, CA, USA
- 6th Workshop on Automated Knowledge Base Construction, AKBC@NIPS 2017, Long Beach, California, USA, December 8, 2017. OpenReview.net 2017
- Muhao Chen, Tao Zhou, Pei Zhou, Carlo Zaniolo:
Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs. AKBC@NIPS 2017 - Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. AKBC@NIPS 2017 - Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov:
Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS 2017 - Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. AKBC@NIPS 2017 - Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum:
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction. AKBC@NIPS 2017 - Trapit Bansal, Arvind Neelakantan, Andrew McCallum:
RelNet: End-to-end Modeling of Entities & Relations. AKBC@NIPS 2017 - Peter Jansen:
A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams. AKBC@NIPS 2017 - Zongyi Li, Brendan Juba, Evan Miller:
Learning Abduction under Partial Observability. AKBC@NIPS 2017 - Vincent P. A. Lonij, Ambrish Rawat, Maria-Irina Nicolae:
Extending Knowledge Bases Using Images. AKBC@NIPS 2017 - Anca Dumitrache, Lora Aroyo, Chris Welty:
False Positive and Cross-relation Signals in Distant Supervision Data. AKBC@NIPS 2017 - Srinivas Ravishankar, Chandrahas Dewangan, Partha P. Talukdar:
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. AKBC@NIPS 2017 - Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar:
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. AKBC@NIPS 2017 - Natalia Díaz Rodríguez, Aki Härmä, Ignacio Huitzil, Fernando Bobillo, Umberto Straccia, Rim Helaoui:
Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs. AKBC@NIPS 2017 - Abiola Obamuyide, Andreas Vlachos:
Contextual Pattern Embeddings for One-shot Relation Extraction. AKBC@NIPS 2017 - Robert L. Logan IV, Samuel Humeau, Sameer Singh:
Multimodal Attribute Extraction. AKBC@NIPS 2017 - Dhanya Sridhar, Jay Pujara, Lise Getoor:
Using Noisy Extractions to Discover Causal Knowledge. AKBC@NIPS 2017 - Fan Yang, William W. Cohen, Jiazhong Nie, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. AKBC@NIPS 2017 - Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum:
Finer Grained Entity Typing with TypeNet. AKBC@NIPS 2017 - Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum:
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS 2017 - Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data. AKBC@NIPS 2017 - Ari Kobren, Nicholas Monath, Andrew McCallum:
Entity-centric Attribute Feedback for Interactive Knowledge Bases. AKBC@NIPS 2017 - Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum:
Learning String Alignments for Entity Aliases. AKBC@NIPS 2017
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