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ORCIDTextGraphs@EMNLP 2019: Hong Kong
- Dmitry Ustalov, Swapna Somasundaran, Peter Jansen, Goran Glavas, Martin Riedl, Mihai Surdeanu, Michalis Vazirgiannis:
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs@EMNLP 2019, Hong Kong, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-86-4 - Prithviraj Ammanabrolu, Mark O. Riedl:
Transfer in Deep Reinforcement Learning Using Knowledge Graphs. 1-10 - Yuki Tagawa, Motoki Taniguchi, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Takayuki Yamamoto, Keiichi Nemoto:
Relation Prediction for Unseen-Entities Using Entity-Word Graphs. 11-16 - Sammy Khalife, Michalis Vazirgiannis:
Scalable graph-based method for individual named entity identification. 17-25 - Daniel Beck, Trevor Cohn, Gholamreza Haffari:
Neural Speech Translation using Lattice Transformations and Graph Networks. 26-31 - Matan Zuckerman, Mark Last:
Using Graphs for Word Embedding with Enhanced Semantic Relations. 32-41 - Mokanarangan Thayaparan
, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. 42-51 - Danni Ma, Chen Chen, Behzad Golshan, Wang-Chiew Tan:
Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs. 52-57 - Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig:
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. 58-62 - Peter Jansen, Dmitry Ustalov:
TextGraphs 2019 Shared Task on Multi-Hop Inference for Explanation Regeneration. 63-77 - Pratyay Banerjee:
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking. 78-84 - Yew Ken Chia, Sam Witteveen, Martin Andrews:
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. 85-89 - Jennifer D'Souza, Isaiah Onando Mulang', Sören Auer:
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions. 90-100 - Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum:
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference. 101-117 - Pierre Daix-Moreux, Matthias Gallé:
Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings. 118-123 - Reinald Kim Amplayo, Seung-won Hwang, Min Song:
Evaluating Research Novelty Detection: Counterfactual Approaches. 124-133 - Vaibhav Vaibhav, Raghuram Mandyam Annasamy, Eduard H. Hovy:
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification. 134-139 - Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang:
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. 140-150 - Zimeng Qiu, Eunah Cho, Xiaochun Ma, William M. Campbell:
Graph-Based Semi-Supervised Learning for Natural Language Understanding. 151-158 - Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. 159-163 - Saatviga Sudhahar, Andrea Pierleoni, Ian Roberts:
Reasoning Over Paths via Knowledge Base Completion. 164-171 - Ida Szubert, Mark Steedman:
Node Embeddings for Graph Merging: Case of Knowledge Graph Construction. 172-176 - Viktor Schlegel, André Freitas:
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings. 177-185 - Ming Jiang, Jana Diesner:
A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications. 186-191
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