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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

Showing 30513100 of 4002 papers

TitleStatusHype
NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets0
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo0
NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge0
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity0
NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming0
Offensive Language Detection Using Brown Clustering0
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities0
On Adversarial Examples for Biomedical NLP Tasks0
On Approximately Searching for Similar Word Embeddings0
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words0
One-shot and few-shot learning of word embeddings0
One-shot and few-shot learning of word embeddings0
One-Shot Weakly Supervised Video Object Segmentation0
On Evaluation of Bangla Word Analogies0
On Initializing Transformers with Pre-trained Embeddings0
On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data0
On Learning Word Embeddings From Linguistically Augmented Text Corpora0
Online Fake Review Detection Using Supervised Machine Learning And BERT Model0
Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm0
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings0
On the contribution of word embeddings to temporal relation classification0
On the Convergent Properties of Word Embedding Methods0
On the Correlation of Word Embedding Evaluation Metrics0
On the Cross-lingual Transferability of Contextualized Sense Embeddings0
On the Curious Case of _2 norm of Sense Embeddings0
On the effectiveness of feature set augmentation using clusters of word embeddings0
Convolutional Neural Network with Word Embeddings for Chinese Word SegmentationCode0
Bridging Vision and Language Spaces with Assignment PredictionCode0
Co-occurrences using Fasttext embeddings for word similarity tasks in UrduCode0
Controlled Experiments for Word EmbeddingsCode0
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch SizeCode0
Improving Biomedical Named Entity Recognition with Syntactic InformationCode0
Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsCode0
Improving Cross-Domain Chinese Word Segmentation with Word EmbeddingsCode0
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural NetworkCode0
Improving Cross-Lingual Word Embeddings by Meeting in the MiddleCode0
Relational Word EmbeddingsCode0
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-ZyrianCode0
Breaking the Softmax Bottleneck: A High-Rank RNN Language ModelCode0
Correlations between Word Vector SetsCode0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
Streaming Word Embeddings with the Space-Saving AlgorithmCode0
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online SpacesCode0
Contextually Propagated Term Weights for Document RepresentationCode0
Multilingual Irony Detection with Dependency Syntax and Neural ModelsCode0
Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
Improving Lexical Choice in Neural Machine TranslationCode0
Improving Lexical Embeddings with Semantic KnowledgeCode0
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