Papers
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Emily Allaway, Kathleen McKeown
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns
Lei Zhou, Liang Ding, Koichi Takeda
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Tzuf Paz-Argaman, Reut Tsarfaty, Gal Chechik et al.
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk, Milan Straka
A Bayesian Approach for Sequence Tagging with Crowds
Edwin Simpson, Iryna Gurevych
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu et al.
A Boundary-aware Neural Model for Nested Named Entity Recognition
Changmeng Zheng, Yi Cai, Jingyun Xu et al.
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
Oren Pereg, Daniel Korat, Moshe Wasserblat et al.
Abstractive Timeline Summarization
Julius Steen, Katja Markert
Abstract Text Summarization: A Low Resource Challenge
Shantipriya Parida, Petr Motlicek
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia
Michel Schwab, Robert Jäschke, Frank Fischer et al.
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
Qingnan Jiang, Lei Chen, Ruifeng Xu et al.
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl et al.
A Closer Look at Data Bias in Neural Extractive Summarization Models
Ming Zhong, Danqing Wang, Pengfei Liu et al.
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar, Hadrien Glaude, Cyprien de Lichy et al.
A Comparative Analysis of Unsupervised Language Adaptation Methods
Gil Rocha, Henrique Lopes Cardoso
A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature
He Zhao, Zhunchen Luo, Chong Feng et al.
Adapting Deep Learning Methods for Mental Health Prediction on Social Media
Ivan Sekulic, Michael Strube
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Xin Lv, Yuxian Gu, Xu Han et al.
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
Shrey Desai, Barea Sinno, Alex Rosenfeld et al.
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation
Poorya Zaremoodi, Gholamreza Haffari
Adaptively Sparse Transformers
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins
Adaptive Parameterization for Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Cheng Zhang et al.