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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 1901–1925 of 4002 papers

TitleStatusHype
Initial Experiments in Data-Driven Morphological Analysis for Finnish—0
Injecting Wiktionary to improve token-level contextual representations using contrastive learning—0
Investigating Gender Bias in BERT—0
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings—0
Derivational Morphological Relations in Word Embeddings—0
Derivational Morphological Relations in Word Embeddings—0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon—0
BERT-based Ranking for Biomedical Entity Normalization—0
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
Inspecting the concept knowledge graph encoded by modern language models—0
Instantiation—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction—0
Cross-Lingual Word Embeddings for Low-Resource Language Modeling—0
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting—0
Integrating Pause Information with Word Embeddings in Language Models for Alzheimer's Disease Detection from Spontaneous Speech—0
Integrating Reviews into Personalized Ranking for Cold Start Recommendation—0
Cross-lingual Word Embeddings in Hyperbolic Space—0
Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media—0
Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach—0
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs—0
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping—0
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation—0
Automated Preamble Detection in Dictated Medical Reports—0
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models—0
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