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ORCID4th AKBC 2022: London, UK
- Sebastian Riedel, Eunsol Choi, Andreas Vlachos, James Thorne, Marek Rei, Fabio Petroni:
4th Conference on Automated Knowledge Base Construction, AKBC 2022, London, UK, November 3-5, 2022. 2022
Archival Papers
- Tara Safavi, Doug Downey, Tom Hope:
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. - David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova:
Entity-Centric Query Refinement. - Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. - Amir D. N. Cohen, Shachar Rosenman, Yoav Goldberg:
Supervised Relation Classification as Two-way Span-Prediction. - Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su:
Knowledge Base Question Answering: A Semantic Parsing Perspective. - Jihoon Sohn, Mingyu Derek Ma, Muhao Chen:
Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces. - Or Castel, Ori Ram, Avia Efrat, Omer Levy:
How Optimal is Greedy Decoding for Extractive Question Answering? - Sven Hertling, Heiko Paulheim:
Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching. - Jan-Christoph Kalo, Leandra Fichtel:
KAMEL: Knowledge Analysis with Multitoken Entities in Language Models. - Jan-Christoph Kalo, Benno Kruit, Stefan Schlobach:
Understanding Distantly Supervised Relation Extraction through Semantic Error Analysis. - Wenjie Yang, Xiaojuan Ma:
Building Knowledge Graphs of Experientially Related Concepts. - Saee Paliwal, Angus Brayne, Benedek Fabian, Maciej Wiatrak, Aaron Sim:
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations. - Jiaying Lu, Carl Yang:
Open-World Taxonomy and Knowledge Graph Co-Learning. - Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. - Jiarui Zhang, Filip Ilievski, Kaixin Ma, Jonathan Francis, Alessandro Oltramari:
A Study of Zero-shot Adaptation with Commonsense Knowledge. - Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision.
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