Papers
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons
Ji Xin, Jimmy Lin, Yaoliang Yu
Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge
Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa et al.
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Dongyeop Kang, Eduard Hovy
BERT for Coreference Resolution: Baselines and Analysis
Mandar Joshi, Omer Levy, Luke Zettlemoyer et al.
Split or Merge: Which is Better for Unsupervised RST Parsing?
Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura et al.
Entity, Relation, and Event Extraction with Contextualized Span Representations
David Wadden, Ulme Wennberg, Yi Luan et al.
HMEAE: Hierarchical Modular Event Argument Extraction
Xiaozhi Wang, Ziqi Wang, Xu Han et al.
Coverage of Information Extraction from Sentences and Paragraphs
Simon Razniewski, Nitisha Jain, Paramita Mirza et al.
Event Detection with Multi-Order Graph Convolution and Aggregated Attention
Haoran Yan, Xiaolong Jin, Xiangbin Meng et al.
Minimally Supervised Learning of Affective Events Using Discourse Relations
Jun Saito, Yugo Murawaki, Sadao Kurohashi
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari et al.
Automatically Inferring Gender Associations from Language
Serina Chang, Kathy McKeown
Perturbation Sensitivity Analysis to Detect Unintended Model Biases
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Quantifying the Semantic Core of Gender Systems
Adina Williams, Damian Blasi, Lawrence Wolf-Sonkin et al.
Multilingual Grammar Induction with Continuous Language Identification
Wenjuan Han, Ge Wang, Yong Jiang et al.
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
Yuxuan Wang, Wanxiang Che, Jiang Guo et al.
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
Adam Fisch, Jiang Guo, Regina Barzilay
Hint-Based Training for Non-Autoregressive Machine Translation
Zhuohan Li, Zi Lin, Di He et al.
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Julian Eisenschlos, Sebastian Ruder, Piotr Czapla et al.
Simple and Effective Noisy Channel Modeling for Neural Machine Translation
Kyra Yee, Yann Dauphin, Michael Auli
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
Guanlin Li, Lemao Liu, Guoping Huang et al.
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree
Kai Sun, Richong Zhang, Samuel Mensah et al.
The Role of Pragmatic and Discourse Context in Determining Argument Impact
Esin Durmus, Faisal Ladhak, Claire Cardie
Sequential Learning of Convolutional Features for Effective Text Classification
Avinash Madasu, Vijjini Anvesh Rao