Accepted Papers
All papers, with their reviews and other details, are also available on OpenReview.
Archival Papers
- Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction (PDF)
Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum. - Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking (PDF)
Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski. - XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference (PDF)
Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang. - How Context Affects Language Models' Factual Predictions (PDF)
Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel. - Learning Credal Sum-Product Networks (PDF)
Amelie Levray, Vaishak Belle. - Dolores: Deep Contextualized Knowledge Graph Embeddings (PDF)
Haoyu Wang, Vivek Kulkarni, William Yang Wang. - IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge (PDF)
Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma. - Exploiting Semantic Relations for Fine-grained Entity Typing (PDF)
Hongliang Dai, Yangqiu Song, Xin Li. - Cross-context News Corpus for Protest Events related Knowledge Base Construction (PDF)
Ali Hürriyetoğlu, Erdem Yörük, Deniz Yüret, Osman Mutlu, Çağrı Yoltar, Fırat Duruşan, Burak Gürel. - Joint Reasoning for Multi-Faceted Commonsense Knowledge (PDF)
Yohan Chalier, Simon Razniewski, Gerhard Weikum. - Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing (PDF)
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo. - Enriching Knowledge Bases with Interesting Negative Statements (PDF)
Hiba Arnaout, Simon Razniewski, Gerhard Weikum. - Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage (PDF)
Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor. - Semi-Automating Knowledge Base Construction for Cancer Genetics (PDF)
Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron Wallace. - Learning Relation Entailment with Structured and Textual Information (PDF)
Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig. - Knowledge Graph Simple Question Answering for Unseen Domains (PDF)
Georgios Sidiropoulos, Nikos Voskarides, Evangelos Kanoulas. - Procedural Reading Comprehension with Attribute-Aware Context Flow (PDF)
Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi. - Ranking vs. Classifying: Measuring Knowledge Base Completion Quality (PDF)
Marina Speranskaya, Martin Schmitt, Benjamin Roth. - Revisiting Evaluation of Knowledge Base Completion Models (PDF)
Pouya Pezeshkpour, Yifan Tian, Sameer Singh. - Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs (PDF)
Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp. - OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion (PDF)
Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam. - TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces (PDF)
So Yeon Min, Preethi Raghavan, Peter Szolovits. - Representing Joint Hierarchies with Box Embeddings (PDF)
Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum. - Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications (PDF)
Nikita Bhutani, Aaron Traylor, Chen Chen, Xiaolan Wang, Behzad Golshan, Wang-Chiew Tan. - Predicting Institution Hierarchies with Set-based Models (PDF)
Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum. - Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations (PDF)
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang. - A Simple Approach to Case-Based Reasoning in Knowledge Bases (PDF)
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum.
Non-Archival Papers
- Knowledge Graph Embedding Compression
Mrinmaya Sachan. - CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren.