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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 15761600 of 4002 papers

TitleStatusHype
NLP Analytics in Finance with DoRe: A French 250M Tokens Corpus of Corporate Annual Reports0
Analyzing Word Embedding Through Structural Equation Modeling0
Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization0
On the Correlation of Word Embedding Evaluation Metrics0
Multi-lingual Mathematical Word Problem Generation using Long Short Term Memory Networks with Enhanced Input Features0
On the Influence of Coreference Resolution on Word Embeddings in Lexical-semantic Evaluation Tasks0
A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping0
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus0
Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain0
FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection0
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation0
Identifying Cognates in English-Dutch and French-Dutch by means of Orthographic Information and Cross-lingual Word Embeddings0
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users0
Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic0
Extrapolating Binder Style Word Embeddings to New Words0
Representation Learning for Unseen Words by Bridging Subwords to Semantic Networks0
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing0
Exploring Bilingual Word Embeddings for Hiligaynon, a Low-Resource Language0
Usability and Accessibility of Bantu Language Dictionaries in the Digital Age: Mobile Access in an Open Environment0
Offensive Language Detection Using Brown Clustering0
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?0
Urban Dictionary Embeddings for Slang NLP Applications0
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection0
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