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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 901–950 of 4002 papers

TitleStatusHype
Membership Inference on Word Embedding and Beyond—0
WG4Rec: Modeling Textual Content with Word Graph for News RecommendationCode0
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition—0
Improving Entity Linking through Semantic Reinforced Entity EmbeddingsCode1
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Predicting the Ordering of Characters in Japanese Historical Documents—0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
Obtaining Better Static Word Embeddings Using Contextual Embedding ModelsCode1
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon InductionCode1
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
Looking for a Role for Word Embeddings in Eye-Tracking Features Prediction: Does Semantic Similarity Help?—0
Experiments on a Guarani Corpus of News and Social Media—0
Leveraging English Word Embeddings for Semi-Automatic Semantic Classification in Nêhiyawêwin (Plains Cree)—0
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns—0
Sentence Complexity in Context—0
Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words—0
NARNIA at NLP4IF-2021: Identification of Misinformation in COVID-19 Tweets Using BERTweet—0
Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification—0
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media—0
Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Exploration des relations sémantiques sous-jacentes aux plongements contextuels de mots (Exploring semantic relations underlying contextual word embeddings)—0
Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use?—0
The Effect of Pretraining on Extractive Summarization for Scientific Documents—0
Profiling of Intertextuality in Latin Literature Using Word EmbeddingsCode0
Query2Prod2Vec: Grounded Word Embeddings for eCommerceCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Morphology-Aware Meta-Embeddings for TamilCode0
Field Embedding: A Unified Grain-Based Framework for Word Representation—0
Data Filtering using Cross-Lingual Word Embeddings—0
LenAtten: An Effective Length Controlling Unit For Text SummarizationCode0
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives—0
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business IntelligenceCode1
An Explanatory Query-Based Framework for Exploring Academic Expertise—0
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering—0
RAW-C: Relatedness of Ambiguous Words--in Context (A New Lexical Resource for English)Code0
Inspecting the concept knowledge graph encoded by modern language models—0
A data-driven strategy to combine word embeddings in information retrieval—0
Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction—0
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features—0
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents—0
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data—0
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