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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 16011625 of 4002 papers

TitleStatusHype
Towards a Semi-Automatic Detection of Reflexive and Reciprocal Constructions and Their Representation in a Valency Lexicon0
Evaluating Word Embeddings for Indonesian--English Code-Mixed Text Based on Synthetic Data0
Sentiment Analysis for Hinglish Code-mixed Tweets by means of Cross-lingual Word Embeddings0
Evaluating the Impact of Sub-word Information and Cross-lingual Word Embeddings on Mi'kmaq Language Modelling0
Evaluating Sub-word Embeddings in Cross-lingual Models0
All That Glitters is Not Gold: A Gold Standard of Adjective-Noun Collocations for German0
Towards a Gold Standard for Evaluating Danish Word Embeddings0
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 20200
NLP Analytics in Finance with DoRe: A French 250M Tokens Corpus of Corporate Annual Reports0
Estimating User Communication Styles for Spoken Dialogue Systems0
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words0
Word Embedding Evaluation for Sinhala0
English WordNet Random Walk Pseudo-Corpora0
ENGLAWI: From Human- to Machine-Readable Wiktionary0
Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus0
Urban Dictionary Embeddings for Slang NLP Applications0
Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries0
Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?0
Abusive language in Spanish children and young teenager's conversations: data preparation and short text classification with contextual word embeddings0
Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources0
Building Semantic Grams of Human Knowledge0
Embedding Space Correlation as a Measure of Domain Similarity0
BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature0
Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yor\`ub\'a and Twi0
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