Co-occurring keywords · papers mentioning both
Papers
Measuring Alignment to Authoritarian State Media as Framing Bias
COLING 2020
Measuring Correlation-to-Causation Exaggeration in Press Releases
COLING 2020
Measuring Emotions in the COVID-19 Real World Worry Dataset
ACL 2020
Measuring Forecasting Skill from Text
ACL 2020
Measuring the Effects of Bias in Training Data for Literary Classification
COLING 2020
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling
ACL 2020
Message Passing Attention Networks for Document Understanding
AAAI 2020
META: Metadata-Empowered Weak Supervision for Text Classification
EMNLP 2020
Metaphor Detection Using Contextual Word Embeddings From Transformers
ACL 2020
Methods for Extracting Information from Messages from Primary Care Providers to Specialists
ACL 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
ACL 2020
MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor)
SemEval 2020
Model-agnostic Methods for Text Classification with Inherent Noise
COLING 2020
Morphological disambiguation from stemming data
COLING 2020
MRC Examples Answerable by BERT without a Question Are Less Effective in MRC Model Training
AACL 2020
Multidimensional Analysis of Trust in News Articles (Student Abstract)
AAAI 2020
Multi-Dimensional Gender Bias Classification
EMNLP 2020
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network
AAAI 2020
Multilingual Offensive Language Identification with Cross-lingual Embeddings
EMNLP 2020
Multimodal Categorization of Crisis Events in Social Media
CVPR 2020
Multiple Instance Learning for Content Feedback Localization without Annotation
ACL 2020
Multiple Positional Self-Attention Network for Text Classification
AAAI 2020
Multi-pretraining for Large-scale Text Classification
EMNLP 2020
Multi-resolution Annotations for Emoji Prediction
EMNLP 2020
Multi-Scale Self-Attention for Text Classification
AAAI 2020