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word embedding

1,648 papers

WE

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