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AKBC 2020 [virtual]
- Dipanjan Das, Hannaneh Hajishirzi, Andrew McCallum, Sameer Singh:
Conference on Automated Knowledge Base Construction, AKBC 2020, Virtual, June 22-24, 2020. 2020 - Mrinmaya Sachan:
Knowledge Graph Embedding Compression. - Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. - Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum:
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction. - Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski:
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. - Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. - Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. - Amélie Levray, Vaishak Belle:
Learning Credal Sum-Product Networks. - Haoyu Wang, Vivek Kulkarni, William Yang Wang:
Dolores: Deep Contextualized Knowledge Graph Embeddings. - Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma:
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. - Hongliang Dai, Yangqiu Song, Xin Li:
Exploiting Semantic Relations for Fine-grained Entity Typing. - Ali Hürriyetoglu, Erdem Yörük, Deniz Yüret, Osman Mutlu, Çagri Yoltar, Firat Durusan, Burak Gürel:
Cross-context News Corpus for Protest Events related Knowledge Base Construction. - Yohan Chalier, Simon Razniewski, Gerhard Weikum:
Joint Reasoning for Multi-Faceted Commonsense Knowledge. - Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo:
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing. - Hiba Arnaout, Simon Razniewski, Gerhard Weikum:
Enriching Knowledge Bases with Interesting Negative Statements. - Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor:
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. - Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace:
Semi-Automating Knowledge Base Construction for Cancer Genetics. - Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig:
Learning Relation Entailment with Structured and Textual Information. - Georgios Sidiropoulos, Nikos Voskarides, Evangelos Kanoulas
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Knowledge Graph Simple Question Answering for Unseen Domains. - Aida Amini, Antoine Bosselut
Procedural Reading Comprehension with Attribute-Aware Context Flow. - Marina Speranskaya, Martin Schmitt, Benjamin Roth:
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. - Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Revisiting Evaluation of Knowledge Base Completion Models. - Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp:
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. - Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam:
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. - So Yeon Min, Preethi Raghavan, Peter Szolovits:
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. - Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum:
Representing Joint Hierarchies with Box Embeddings. - Nikita Bhutani, Aaron Traylor, Chen Chen, Xiaolan Wang, Behzad Golshan, Wang-Chiew Tan:
Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications. - Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum:
Predicting Institution Hierarchies with Set-based Models. - Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang:
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. - Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum:
A Simple Approach to Case-Based Reasoning in Knowledge Bases.
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