Papers
SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing
Zuchao Li, Hai Zhao, Zhuosheng Zhang et al.
The ERG at MRP 2019: Radically Compositional Semantic Dependencies
Stephan Oepen, Dan Flickinger
TUPA at MRP 2019: A Multi-Task Baseline System
Daniel Hershcovich, Ofir Arviv
MRP 2019: Cross-Framework Meaning Representation Parsing
Stephan Oepen, Omri Abend, Jan Hajic et al.
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
Stephan Oepen, Omri Abend, Jan Hajic et al.
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis
Yanlin Feng, Xiaojun Wan
Predicting the Role of Political Trolls in Social Media
Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov
Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification
Tushaar Gangavarapu, Gokul S Krishnan, Sowmya Kamath S
Cluster-Gated Convolutional Neural Network for Short Text Classification
Haidong Zhang, Wancheng Ni, Meijing Zhao et al.
A Personalized Sentiment Model with Textual and Contextual Information
Siwen Guo, Sviatlana Höhn, Christoph Schommer
Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews
Jan Kocoń, Piotr Miłkowski, Monika Zaśko-Zielińska
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
Mengting Hu, Shiwan Zhao, Honglei Guo et al.
Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer
Xingyi Cheng, Weidi Xu, Taifeng Wang et al.
Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems
Michael Tschuggnall, Benjamin Murauer, Günther Specht
Studying Generalisability across Abusive Language Detection Datasets
Steve Durairaj Swamy, Anupam Jamatia, Björn Gambäck
On Model Stability as a Function of Random Seed
Pranava Madhyastha, Rishabh Jain
A Simple and Effective Method for Injecting Word-Level Information into Character-Aware Neural Language Models
Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura et al.
Learning Analogy-Preserving Sentence Embeddings for Answer Selection
Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz
Global Autoregressive Models for Data-Efficient Sequence Learning
Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes
Noémien Kocher, Christian Scuito, Lorenzo Tarantino et al.
Slang Detection and Identification
Zhengqi Pei, Zhewei Sun, Yang Xu
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature
Sajawel Ahmed, Manuel Stoeckel, Christine Driller et al.
Self-Adaptive Scaling for Learnable Residual Structure
Fenglin Liu, Meng Gao, Yuanxin Liu et al.
Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena et al.
Generating Formality-Tuned Summaries Using Input-Dependent Rewards
Kushal Chawla, Balaji Vasan Srinivasan, Niyati Chhaya