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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 3051–3075 of 4002 papers

TitleStatusHype
NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets—0
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo—0
NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge—0
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity—0
NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity—0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming—0
Offensive Language Detection Using Brown Clustering—0
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities—0
On Adversarial Examples for Biomedical NLP Tasks—0
On Approximately Searching for Similar Word Embeddings—0
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words—0
One-shot and few-shot learning of word embeddings—0
One-shot and few-shot learning of word embeddings—0
One-Shot Weakly Supervised Video Object Segmentation—0
On Evaluation of Bangla Word Analogies—0
On Initializing Transformers with Pre-trained Embeddings—0
On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data—0
On Learning Word Embeddings From Linguistically Augmented Text Corpora—0
Online Fake Review Detection Using Supervised Machine Learning And BERT Model—0
Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm—0
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings—0
On the contribution of word embeddings to temporal relation classification—0
On the Convergent Properties of Word Embedding Methods—0
On the Correlation of Word Embedding Evaluation Metrics—0
On the Cross-lingual Transferability of Contextualized Sense Embeddings—0
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