Co-occurring keywords · papers mentioning both
Papers
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP
COLING 2020
EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes
SemEval 2020
Emerging Cross-lingual Structure in Pretrained Language Models
ACL 2020
Encoding word order in complex embeddings
ICLR 2020
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
ACL 2020
Enriching Word Embeddings with Temporal and Spatial Information
CoNLL 2020
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification
ACL 2020
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection
EMNLP 2020
Estimating Mutual Information Between Dense Word Embeddings
ACL 2020
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks
ACL 2020
Evaluating Word Embeddings for Language Acquisition
EMNLP 2020
Evaluating Word Embeddings on Low-Resource Languages
EMNLP 2020
Explaining the Trump Gap in Social Distancing Using COVID Discourse
EMNLP 2020
Explaining Word Embeddings via Disentangled Representation
AACL 2020
Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification Models
COLING 2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
EMNLP 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
EMNLP 2020
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings
EMNLP 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
ICLR 2020
Generalization to Mitigate Synonym Substitution Attacks
EMNLP 2020
Geometry-aware domain adaptation for unsupervised alignment of word embeddings
ACL 2020
GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection
SemEval 2020
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs
ACL 2020
Going Beyond T-SNE: Exposing whatlies in Text Embeddings
EMNLP 2020
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
COLING 2020