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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 1051–1075 of 4002 papers

TitleStatusHype
SAT Based Analogy Evaluation Framework for Persian Word Embeddings—0
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource languageCode0
Clinical Named Entity Recognition using Contextualized Token Representations—0
Mixtures of Deep Neural Experts for Automated Speech Scoring—0
Membership Inference on Word Embedding and Beyond—0
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter—0
WG4Rec: Modeling Textual Content with Word Graph for News RecommendationCode0
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition—0
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical StudyCode0
PairConnect: A Compute-Efficient MLP Alternative to Attention—0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
Semantic Representation and Inference for NLP—0
Shape of Elephant: Study of Macro Properties of Word Embeddings Spaces—0
Predicting the Ordering of Characters in Japanese Historical Documents—0
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain ResponsesCode0
Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software—0
Denoising Word Embeddings by Averaging in a Shared Space—0
A General Method for Event Detection on Social Media—0
Evaluating Word Embeddings with Categorical ModularityCode0
Data Filtering using Cross-Lingual Word Embeddings—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Looking for a Role for Word Embeddings in Eye-Tracking Features Prediction: Does Semantic Similarity Help?—0
Field Embedding: A Unified Grain-Based Framework for Word Representation—0
Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification—0
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