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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 1551–1575 of 4002 papers

TitleStatusHype
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddingsCode0
Text Classification with Few Examples using Controlled Generalization—0
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
Towards classification parity across cohorts—0
Learning Probabilistic Sentence Representations from Paraphrases—0
RPD: A Distance Function Between Word Embeddings—0
Cross-lingual Transfer of Sentiment Classifiers—0
Evaluating Sparse Interpretable Word Embeddings for Biomedical DomainCode0
Toward Better Storylines with Sentence-Level Language Models—0
Article citation study: Context enhanced citation sentiment detection—0
Comparative Analysis of Word Embeddings for Capturing Word SimilaritiesCode0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
The Paradigm Discovery ProblemCode0
Visual Question Answering with Prior Class Semantics—0
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words—0
Improving Aspect-Level Sentiment Analysis with Aspect Extraction—0
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?—0
SAPPHIRE: Simple Aligner for Phrasal Paraphrase with Hierarchical Representation—0
Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings—0
Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features—0
Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding—0
Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings—0
Czech Historical Named Entity Corpus v 1.0—0
NLP Analytics in Finance with DoRe: A French 250M Tokens Corpus of Corporate Annual Reports—0
Automatically Building a Multilingual Lexicon of False Friends With No Supervision—0
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