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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 851–875 of 4002 papers

TitleStatusHype
Using Word Embeddings to Quantify Ethnic Stereotypes in 12 years of Spanish News—0
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization—0
An Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings—0
Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word EmbeddingsCode0
A Comparative Study of Transformers on Word Sense Disambiguation—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
Bilingual Topic Models for Comparable Corpora—0
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster AssignmentCode0
More Romanian word embeddings from the RETEROM project—0
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge—0
Isomorphic Cross-lingual Embeddings for Low-Resource Languages—0
Sentence Selection Strategies for Distilling Word Embeddings from BERT—0
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions—0
Non-Linear Relational Information Probing in Word Embeddings—0
Interpretable embeddings to understand computing careers—0
Sense Embeddings are also Biased -- Evaluating Social Biases in Static and Contextualised Sense Embeddings—0
Discrete Wavelet Transform for Efficient Word Embeddings and Sentence Encoding—0
Crossword: Estimating Unknown Embeddings using Cross Attention and Alignment Strategies—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
First Bilingual Word Embeddings for te reo Māori and English: Towards Code-switching Detection in a Low-resourced setting—0
Learning and Evaluating Character Representations in Novels—0
Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German—0
Looking Into the Black Box - How Are Idioms Processed in BERT?—0
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