Day 2 Posters

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SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "``Resource by Collaborative Contribution" scheme
Satoshi Sekine, Kouta Nakayama, Maya Ando, Yu Usami, Masako Nomoto, Koji Matsuda
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well
Christian Meilicke, Patrick Betz, Heiner Stuckenschmidt
NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources
Zewei Chu, Karl Stratos, Kevin Gimpel
Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News
Michael Bugert, Iryna Gurevych
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis
Steven Schockaert
Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge
Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu
A Joint Training Framework for Open-World Knowledge Graph Embeddings
Karthik V, Beethika Tripathi, Mitesh M Khapra, Balaraman Ravindran
Phrase Retrieval Learns Passage Retrieval, Too
Jinhyuk Lee, Alexander Wettig, Danqi Chen
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
Rahul Nadkarni, David Wadden, Iz Beltagy, Noah Smith, Hannaneh Hajishirzi, Tom Hope
Regex Queries over Incomplete Knowledge Bases
Vaibhav Adlakha, Parth Shah, Srikanta J. Bedathur, Mausam .
Prompt Tuning or Fine-Tuning - Investigating Relational Knowledge in Pre-Trained Language Models
Leandra Fichtel, Jan-Christoph Kalo, Wolf-Tilo Balke