Abstract is missing.
- MedMentions: A Large Biomedical Corpus Annotated with UMLS ConceptsSunil Mohan, Donghui Li. [doi]
- Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsPouya Pezeshkpour, Yifan Tian, Sameer Singh 0001. [doi]
- Joint Learning of Hierarchical Word Embeddings from a Corpus and a TaxonomyMohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala. [doi]
- Improving Relation Extraction by Pre-trained Language RepresentationsChristoph Alt, Marc Hübner, Leonhard Hennig. [doi]
- Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic ProgramJohn Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian. [doi]
- Integrating User Feedback under Identity Uncertainty in Knowledge Base ConstructionAri Kobren, Nicholas Monath, Andrew McCallum. [doi]
- Synonym Expansion for Large Shopping TaxonomiesAdrian Boteanu, Adam Kiezun, Shay Artzi. [doi]
- Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation ExtractionAngrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson. [doi]
- OPIEC: An Open Information Extraction CorpusKiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla. [doi]
- A Survey on Semantic ParsingAishwarya Kamath, Rajarshi Das. [doi]
- Scalable Rule Learning in Probabilistic Knowledge BasesArcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt. [doi]
- Discriminative Candidate Generation for Medical Concept LinkingElliot Schumacher, Mark Dredze. [doi]
- Answering Visual-Relational Queries in Web-Extracted Knowledge GraphsDaniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez-Sanchez, Roberto Javier López-Sastre. [doi]
- NormCo: Deep Disease Normalization for Biomedical Knowledge Base ConstructionDustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu. [doi]
- SHINRA: Structuring Wikipedia by Collaborative ContributionSatoshi Sekine, Akio Kobayashi, Kouta Nakayama. [doi]
- Semi-supervised Ensemble Learning with Weak Supervision for Biomedical Relationship ExtractionAntonios Minas Krasakis, Evangelos Kanoulas, George Tsatsaronis. [doi]
- Applying Citizen Science to Gene, Drug, Disease Relationship Extraction from Biomedical AbstractsGinger Tsueng, Max Nanis, Jennifer T. Fouquier, Michael Mayers, Benjamin M. Good, Andrew I. Su. [doi]
- Learning Numerical Attributes in Knowledge BasesBhushan Kotnis, Alberto García-Durán. [doi]
- On Constrained Open-World Probabilistic DatabasesTal Friedman, Guy Van den Broeck. [doi]
- Fine-grained Entity Recognition with Reduced False Negatives and Large Type CoverageAbhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar. [doi]
- Learning Relational Representations by Analogy using Hierarchical Siamese NetworksGaetano Rossiello, Alfio Gliozzo, Robert Farrell, Nicolas R. Fauceglia, Michael R. Glass. [doi]
- Answering Science Exam Questions Using Query Reformulation with Background KnowledgeRyan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock. [doi]
- Scaling Hierarchical Coreference with Homomorphic CompressionMichael Wick, Swetasudha Panda, Joseph Tassarotti, Jean-Baptiste Tristan. [doi]
- Learning Relation Representations from Word RepresentationsHuda Hakami, Danushka Bollegala. [doi]