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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 1901–1950 of 4002 papers

TitleStatusHype
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector SpacesCode0
Retrofitting Contextualized Word Embeddings with Paraphrases—0
A Robust Hybrid Approach for Textual Document ClassificationCode0
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classificationCode0
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary InductionCode0
Query Obfuscation Semantic Decomposition—0
Hope Speech Detection: A Computational Analysis of the Voice of Peace—0
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings—0
Multimodal Embeddings from Language ModelsCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?—0
Composing Knowledge Graph Embeddings via Word Embeddings—0
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More CitationsCode0
Distributed Training of Embeddings using Graph Analytics—0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank—0
Fusing Vector Space Models for Domain-Specific Applications—0
Examining Gender Bias in Languages with Grammatical GenderCode0
Semantics-aware BERT for Language UnderstandingCode0
Empirical Study of Diachronic Word Embeddings for Scarce Data—0
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe—0
Affect Enriched Word Embeddings for News Information Retrieval—0
Interpretable Word Embeddings via Informative Priors—0
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRFCode0
On the Downstream Performance of Compressed Word EmbeddingsCode0
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 EmbeddingsCode0
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution—0
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space—0
Political Stance in DanishCode0
Cross-Lingual Word Embeddings for Morphologically Rich Languages—0
Unsupervised Inference of Object Affordance from Text Corpora—0
Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features—0
Sparse Victory -- A Large Scale Systematic Comparison of count-based and prediction-based vectorizers for text classificationCode0
Toward Multilingual Identification of Online Registers—0
A study of semantic augmentation of word embeddings for extractive summarization—0
Comparing the Performance of Feature Representations for the Categorization of the Easy-to-Read Variety vs Standard Language—0
A Classification-Based Approach to Cognate Detection Combining Orthographic and Semantic Similarity Information—0
Speculation and Negation detection in French biomedical corpora—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
Classification of Micro-Texts Using Sub-Word Embeddings—0
Whom to Learn From? Graph- vs. Text-based Word Embeddings—0
Evaluating the Consistency of Word Embeddings from Small Data—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
Tweaks and Tricks for Word Embedding Disruptions—0
SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)—0
Towards High Accuracy Named Entity Recognition for Icelandic—0
An Improved Neural Baseline for Temporal Relation Extraction—0
Named-Entity Recognition for NorwegianCode0
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingCode0
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