Accepted Papers

All papers, with their reviews and other details, are also available on OpenReview.

Archival Papers

• Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program (PDF)
  John Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian.
  
• A Survey on Semantic Parsing (PDF)
  Aishwarya Kamath, Rajarshi Das.
  
• Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction (PDF)
  Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson.
  
• Scalable Rule Learning in Probabilistic Knowledge Bases (PDF, Website)
  Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt.
  
• NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction (PDF, Website)
  Dustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu.
  
• Answering Science Exam Questions Using Query Reformulation with Background Knowledge (PDF)
  Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock.
  
• Semi-supervised Ensemble Learning with Weak Supervision for Biomedical Relationship Extraction (PDF, Website)
  Antonios Minas Krasakis, Evangelos Kanoulas, George Tsatsaronis.
  
• OPIEC: An Open Information Extraction Corpus (PDF, Website)
  Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla.
  
• Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy (PDF)
  Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala.
  
• SHINRA: Structuring Wikipedia by Collaborative Contribution (PDF)
  Satoshi Sekine, Akio Kobayashi, Kouta Nakayama.
  
• Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage (PDF, Website)
  Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar.
  
• Improving Relation Extraction by Pre-trained Language Representations (PDF)
  Christoph Alt, Marc Hübner, Leonhard Hennig.
  
• MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts (PDF)
  Sunil Mohan, Donghui Li.
  
• Learning Relation Representations from Word Representations (PDF)
  Huda Hakami, Danushka Bollegala.
  
• Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs (PDF)
  Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto González-Sánchez, Roberto J. López-Sastre.
  
• Scaling Hierarchical Coreference with Homomorphic Compression (PDF, Website)
  Michael Wick, Swetasudha Panda, Joseph Tassarotti, Jean-Baptiste Tristan.
  
• Learning Numerical Attributes in Knowledge Bases (PDF)
  Bhushan Kotnis, Alberto García-Durán.
  
• Discriminative Candidate Generation for Medical Concept Linking (PDF)
  Elliot Schumacher, Mark Dredze.
  
• Synonym Expansion for Large Shopping Taxonomies (PDF)
  Adrian Boteanu, Adam Kiezun, Shay Artzi.
  
• Integrating User Feedback under Identity Uncertainty in Knowledge Base Construction (PDF)
  Ari Kobren, Nicholas Monath, Andrew McCallum.
  

Non-Archival Papers

• On Constrained Open-World Probabilistic Databases
  Tal Friedman, Guy Van den Broeck.
  
• Applying Citizen Science to Gene, Drug, Disease Relationship Extraction from Biomedical Abstracts
  Ginger Tsueng, Max Nanis, Jennifer T. Fouquier, Michael Mayers, Benjamin M. Good, Andrew I Su.
  
• Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
  Pouya Pezeshkpour, Yifan Tian, Sameer Singh.
  
• GraphIE: A Graph-Based Framework for Information Extraction
  Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay.
  
• Learning Relational Representations by Analogy using Hierarchical Siamese Networks
  Gaetano Rossiello, Alfio Gliozzo, Robert Farrell, Nicolas Fauceglia, Michael Glass.