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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 1651–1700 of 4002 papers

TitleStatusHype
LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space—0
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
Intuitive Contrasting Map for Antonym EmbeddingsCode0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?Code0
On Adversarial Examples for Biomedical NLP Tasks—0
Upgrading the Newsroom: An Automated Image Selection System for News Articles—0
Revisiting the Context Window for Cross-lingual Word Embeddings—0
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets—0
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT—0
Effect of Text Color on Word Embeddings—0
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical AttentionCode0
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness—0
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings—0
Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and ModelsCode0
Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts—0
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)—0
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?—0
Improving Disfluency Detection by Self-Training a Self-Attentive Model—0
Word Equations: Inherently Interpretable Sparse Word Embeddingsthrough Sparse Coding—0
Decomposing Word Embedding with the Capsule Network—0
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation—0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings—0
Analyzing autoencoder-based acoustic word embeddings—0
4chan & 8chan embeddings—0
Adversarial Transfer Learning for Punctuation Restoration—0
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator—0
Give your Text Representation Models some Love: the Case for BasqueCode0
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)Code0
A Novel Method of Extracting Topological Features from Word Embeddings—0
Topological Data Analysis in Text Classification: Extracting Features with Additive Information—0
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
Temporal Embeddings and Transformer Models for Narrative Text Understanding—0
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá—0
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic—0
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining—0
Text Similarity Using Word Embeddings to Classify Misinformation—0
Word Sense Disambiguation for 158 Languages using Word Embeddings Only—0
Using word embeddings to improve the discriminability of co-occurrence text networks—0
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis—0
Text classification with word embedding regularization and soft similarity measureCode0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity—0
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages—0
Joint Multiclass Debiasing of Word EmbeddingsCode0
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes—0
Quality of Word Embeddings on Sentiment Analysis Tasks—0
Captioning Images with Novel Objects via Online Vocabulary Expansion—0
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network—0
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach—0
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions—0
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