Archival Papers
- CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction (PDF)
Tara Safavi, Doug Downey, Tom Hope.
- Entity-Centric Query Refinement (PDF)
David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova.
- Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information (PDF)
Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp.
- Supervised Relation Classification as Two-way Span-Prediction (PDF)
Amir DN Cohen, Shachar Rosenman, Yoav Goldberg.
- Knowledge Base Question Answering: A Semantic Parsing Perspective (PDF)
Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su.
- Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces (PDF)
Jihoon Sohn, Mingyu Derek Ma, Muhao Chen.
- How Optimal is Greedy Decoding for Extractive Question Answering? (PDF)
Or Castel, Ori Ram, Avia Efrat, Omer Levy.
- Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching (PDF)
Sven Hertling, Heiko Paulheim.
- KAMEL: Knowledge Analysis with Multitoken Entities in Language Models (PDF)
Jan-Christoph Kalo, Leandra Fichtel.
- Understanding Distantly Supervised Relation Extraction through Semantic Error Analysis (PDF)
Jan-Christoph Kalo, Benno Kruit, Stefan Schlobach.
- Building Knowledge Graphs of Experientially Related Concepts (PDF)
Wenjie Yang, Xiaojuan Ma.
- Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations (PDF)
Saee Gopal Paliwal, Angus Brayne, Benedek Fabian, Maciej Wiatrak, Aaron Sim.
- Open-World Taxonomy and Knowledge Graph Co-Learning (PDF)
Jiaying Lu, Carl Yang.
- Schema-Guided Event Graph Completion (PDF)
Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph Olive, Heng Ji.
- A Study of Zero-shot Adaptation with Commonsense Knowledge (PDF)
Jiarui Zhang, Filip Ilievski, Kaixin Ma, Jonathan Francis, Alessandro Oltramari.
- Training Vision-Language Models with Less Bimodal Supervision (PDF)
Elad Segal, Ben Bogin, Jonathan Berant.
Non-Archival Papers
- Learning Proof Path Selection Policies in Neural Theorem Proving
Matthew Morris, Pasquale Minervini, Phil Blunsom.
- A Systematic Investigation of KB-Text Embedding Alignment at Scale
Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su.
- UnCommonSense: Informative Negative Knowledge about Everyday Concepts
Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan.
- ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering
Yu Gu, Yu Su.
- Discovering Fine-Grained Semantics in Knowledge Graph Relations
Nitisha Jain, Ralf Krestel.
- Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen.
- Meta-Learning a Cross-lingual Manifold for Semantic Parsing
Tom Sherborne, Mirella Lapata.
- DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Peng Wang, Wen Zhang, Guozhou Zheng.
- CODEC: Complex Document and Entity Collection
Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeff Dalton.
- Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
Adrian Kochsiek, Fritz Niesel, Rainer Gemulla.
- Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce
Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Zezhong Xu, Chengming Wang, Qiang Chen.
- Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen.
- Generative Multi-hop Retrieval
Hyunji Lee, Sohee Yang, Hanseok Oh, Minjoon Seo.
