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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 1876–1900 of 4002 papers

TitleStatusHype
Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions—0
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings—0
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity—0
Example-based Acquisition of Fine-grained Collocation Resources—0
Clinical Event Detection with Hybrid Neural Architecture—0
Indigenous Language Revitalization and the Dilemma of Gender Bias—0
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition—0
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings—0
Exact gradient updates in time independent of output size for the spherical loss family—0
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources—0
Inducing Relational Knowledge from BERT—0
Evolving Large Text Corpora: Four Versions of the Icelandic Gigaword Corpus—0
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction—0
Clinical Abbreviation Disambiguation Using Neural Word Embeddings—0
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces—0
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
Clickbait detection using word embeddings—0
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?—0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function—0
Event Role Labelling using a Neural Network Model (\'Etiquetage en r\^oles \'ev\'enementiels fond\'e sur l'utilisation d'un mod\`ele neuronal) [in French]—0
Event Role Extraction using Domain-Relevant Word Representations—0
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