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3rd AKBC 2021 [virtual]
- Danqi Chen, Jonathan Berant, Andrew McCallum, Sameer Singh:
3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021. 2021 - Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu:
Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge. - Michael Bugert, Iryna Gurevych:
Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News. - Pierre-Henri Paris, Syrine El Aoud, Fabian M. Suchanek:
The Vagueness of Vagueness in Noun Phrases. - Christian Meilicke, Patrick Betz, Heiner Stuckenschmidt:
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well. - John M. Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Mishkov, Alex Spengler, Denise J. Wilkins, Siân E. Lindley, Richard Banks, Sam Webster, Yordan Zaykov:
Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities. - Meiqi Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani:
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering. - Karthik Visweswariah, Beethika Tripathi, Mitesh M. Khapra, Balaraman Ravindran:
A Joint Training Framework for Open-World Knowledge Graph Embeddings. - Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. - Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum:
KnowFi: Knowledge Extraction from Long Fictional Texts. - Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou:
Open Temporal Relation Extraction for Question Answering. - Vaibhav Adlakha, Parth Shah, Srikanta J. Bedathur, Mausam:
Regex Queries over Incomplete Knowledge Bases. - Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Analyzing Commonsense Emergence in Few-shot Knowledge Models. - Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki:
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. - Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. - Vinay K. Chaudhri, Matthew Boggess, Han Lin Aung, Debshila Basu Mallick, Andrew C. Waters, Richard G. Baraniuk:
A Case Study in Bootstrapping Ontology Graphs from Textbooks. - Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp:
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. - Satoshi Sekine, Kouta Nakayama, Maya Ando, Yu Usami, Masako Nomoto, Koji Matsuda:
SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "Resource by Collaborative Contribution" scheme. - Jinhyuk Lee, Alexander Wettig, Danqi Chen:
Phrase Retrieval Learns Passage Retrieval, Too. - Chadi Helwe, Chloé Clavel, Fabian M. Suchanek:
Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning. - Leandra Fichtel, Jan-Christoph Kalo, Wolf-Tilo Balke:
Prompt Tuning or Fine-Tuning - Investigating Relational Knowledge in Pre-Trained Language Models. - Harkanwar Singh, Soumen Chakrabarti, Prachi Jain, Sharod Roy Choudhury, Mausam:
Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment. - Simon Ott, Christian Meilicke, Matthias Samwald:
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. - Steven Schockaert:
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis. - Agnieszka Dobrowolska, Antonio Vergari, Pasquale Minervini:
Neural Concept Formation in Knowledge Graphs. - Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Commonsense Reasoning with Implicit Knowledge in Natural Language. - Zewei Chu, Karl Stratos, Kevin Gimpel:
NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources. - Thy Thy Tran, Phong Le, Sophia Ananiadou:
One-shot to Weakly-Supervised Relation Classification using Language Models. - Matan Hasson, Jonathan Berant:
Question Decomposition with Dependency Graphs. - William P. Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu:
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction. - Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope:
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. - Danilo Neves Ribeiro, Kenneth D. Forbus:
Combining Analogy with Language Models for Knowledge Extraction. - Huiru Xiao, Yangqiu Song:
Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning. - Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey
, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts.
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