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Papers
Analyzing the Surprising Variability in Word Embedding Stability Across Languages
EMNLP 2021
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
EMNLP 2021
Anchor-based Bilingual Word Embeddings for Low-Resource Languages
ACL 2021
A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract)
AAAI 2021
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media
NAACL 2021
Assessing the Reliability of Word Embedding Gender Bias Measures
EMNLP 2021
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
ACL 2021
A Study on Using Semantic Word Associations to Predict the Success of a Novel
ACL 2021
A Thousand Words are Worth More Than One Recording:Word-EmbeddingBased Speaker Change Detection
Interspeech 2021
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
EMNLP 2021
BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese
EMNLP 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
NAACL 2021
BERT Goes Shopping: Comparing Distributional Models for Product Representations
ACL 2021
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
EMNLP 2021
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
IJCAI 2021
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment
ACL 2021
Can a Fruit Fly Learn Word Embeddings?
ICLR 2021
Challenging distributional models with a conceptual network of philosophical terms
NAACL 2021
Changing the Basis of Contextual Representations with Explicit Semantics
ACL 2021
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020
ACL 2021
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning
AAAI 2021
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way
SemEval 2021
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set
EACL 2021
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa
EMNLP 2021
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification
EMNLP 2021