Papers
Hierarchical Multi-label Classification of Text with Capsule Networks
Rami Aly, Steffen Remus, Chris Biemann
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
Ethan Wilcox, Roger Levy, Richard Futrell
Hierarchical Transfer Learning for Multi-label Text Classification
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal et al.
Hierarchical Transformers for Multi-Document Summarization
Yang Liu, Mirella Lapata
HighRES: Highlight-based Reference-less Evaluation of Summarization
Hardy, Shashi Narayan, Andreas Vlachos
Historical Text Normalization with Delayed Rewards
Simon Flachs, Marcel Bollmann, Anders Søgaard
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets
Shuai Chen, Yuanhang Huang, Xiaowei Huang et al.
Homograph Disambiguation through Selective Diacritic Restoration
Sawsan Alqahtani, Hanan Aldarmaki, Mona Diab
How Large Are Lions? Inducing Distributions over Quantitative Attributes
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran et al.
How Multilingual is Multilingual BERT?
Telmo Pires, Eva Schlinger, Dan Garrette
How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models
Brian Riordan, Michael Flor, Robert Pugh
How to Best Use Syntax in Semantic Role Labelling
Yufei Wang, Mark Johnson, Stephen Wan et al.
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Goran Glavaš, Robert Litschko, Sebastian Ruder et al.
Huawei’s NMT Systems for the WMT 2019 Biomedical Translation Task
Wei Peng, Jianfeng Liu, Liangyou Li et al.
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
Jiaji Huang, Qiang Qiu, Kenneth Church
hULMonA: The Universal Language Model in Arabic
Obeida ElJundi, Wissam Antoun, Nour El Droubi et al.
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia, Samuel R. Bowman
Identification of Adverse Drug Reaction Mentions in Tweets – SMM4H Shared Task 2019
Samarth Rawal, Siddharth Rawal, Saadat Anwar et al.
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Yufang Hou, Charles Jochim, Martin Gleize et al.
Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation
Xinyan Zhao, Deahan Yu, V.G.Vinod Vydiswaran
Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change?
Sidsel Boldsen, Manex Agirrezabal, Patrizia Paggio
Identifying Visible Actions in Lifestyle Vlogs
Oana Ignat, Laura Burdick, Jia Deng et al.
IDION: A database for Modern Greek multiword expressions
Stella Markantonatou, Panagiotis Minos, George Zakis et al.
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier
Prakhar Sharma, Sumegh Roychowdhury