Papers
Analyzing analytical methods: The case of phonology in neural models of spoken language
Grzegorz Chrupała, Bertrand Higy, Afra Alishahi
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
Guanhua Zhang, Bing Bai, Junqi Zhang et al.
Neural Reranking for Dependency Parsing: An Evaluation
Bich-Ngoc Do, Ines Rehbein
Max-Margin Incremental CCG Parsing
Miloš Stanojević, Mark Steedman
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing
Daniel Fernández-González, Carlos Gómez-Rodríguez
Do Neural Language Models Show Preferences for Syntactic Formalisms?
Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou et al.
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
Hao Tian, Can Gao, Xinyan Xiao et al.
He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist
Patricia Chiril, Véronique Moriceau, Farah Benamara et al.
GoEmotions: A Dataset of Fine-Grained Emotions
Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko et al.
From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim, Lilach Eden, Roni Friedman et al.
Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis
Chunning Du, Haifeng Sun, Jingyu Wang et al.
CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages
Tommaso Pasini, Federico Scozzafava, Bianca Scarlini
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
Timo Schick, Hinrich Schütze
Autoencoding Keyword Correlation Graph for Document Clustering
Billy Chiu, Sunil Kumar Sahu, Derek Thomas et al.
Analysing Lexical Semantic Change with Contextualised Word Representations
Mario Giulianelli, Marco Del Tredici, Raquel Fernández
Adaptive Compression of Word Embeddings
Yeachan Kim, Kang-Min Kim, SangKeun Lee
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
Enrique Amigo, Julio Gonzalo, Stefano Mizzaro et al.
Graph-to-Tree Learning for Solving Math Word Problems
Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee et al.
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Yilin Niu, Fangkai Jiao, Mantong Zhou et al.
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture
Christopher Brix, Parnia Bahar, Hermann Ney
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Xabier Soto, Dimitar Shterionov, Alberto Poncelas et al.
SEEK: Segmented Embedding of Knowledge Graphs
Wentao Xu, Shun Zheng, Liang He et al.
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
Alexandre Tamborrino, Nicola Pellicanò, Baptiste Pannier et al.