Schedule
More details coming soon.
June 22, Day 1, 8am-1:30pm PT
June 23, Day 2, 12pm-5:30pm PT
June 24, Day 3, 8am-1:30pm PT
June 25, Day 4, 8am-1pm PT
Workshops
Session 1
May 20, 10:25 - 11:00
- Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto González-Sánchez, Roberto J. López-Sastre
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs - Ginger Tsueng, Max Nanis, Jennifer T. Fouquier, Michael Mayers, Benjamin M. Good, Andrew I Su
Applying Citizen Science to Gene, Drug, Disease Relationship Extraction from Biomedical Abstracts - Sunil Mohan, Donghui Li
MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts - John Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian
Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program - Michael Wick, Swetasudha Panda, Joseph Tassarotti, Jean-Baptiste Tristan
Scaling Hierarchical Coreference with Homomorphic Compression - Bhushan Kotnis, Alberto García-Durán
Learning Numerical Attributes in Knowledge Bases - Gaetano Rossiello, Alfio Gliozzo, Robert Farrell, Nicolas Fauceglia, Michael Glass
Learning Relational Representations by Analogy using Hierarchical Siamese Networks - Elliot Schumacher, Mark Dredze
Discriminative Candidate Generation for Medical Concept Linking
Session 2
May 20, 3:10 - 3:45
- Christoph Alt, Marc Hübner, Leonhard Hennig
Improving Relation Extraction by Pre-trained Language Representations - Antonios Minas Krasakis, Evangelos Kanoulas, George Tsatsaronis
Semi-supervised Ensemble Learning with Weak Supervision for Biomedical Relationship Extraction - Adrian Boteanu, Adam Kiezun, Shay Artzi
Synonym Expansion for Large Shopping Taxonomies - Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction - Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy - Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
Answering Science Exam Questions Using Query Reformulation with Background Knowledge - Huda Hakami, Danushka Bollegala
Learning Relation Representations from Word Representations - Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla
OPIEC: An Open Information Extraction Corpus
Session 3
May 20, 5:10 - 5:45
- Satoshi Sekine, Akio Kobayashi, Kouta Nakayama
SHINRA: Structuring Wikipedia by Collaborative Contribution - Dustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction - Tal Friedman, Guy Van den Broeck
On Constrained Open-World Probabilistic Databases - Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage - Aishwarya Kamath, Rajarshi Das
A Survey on Semantic Parsing - Pouya Pezeshkpour, Yifan Tian, Sameer Singh
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications - Ari Kobren, Nicholas Monath, Andrew McCallum
Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction - Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt
Scalable Rule Learning in Probabilistic Knowledge Bases
