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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 501525 of 4002 papers

TitleStatusHype
XLNET-GRU Sentiment Regression Model for Cryptocurrency News in English and Malay0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings0
Dialects Identification of Armenian Language0
Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic0
Enhancing Deep Learning with Embedded Features for Arabic Named Entity RecognitionCode0
Using Convolution Neural Network with BERT for Stance Detection in Vietnamese0
Accurate Dependency Parsing and Tagging of Latin0
Casteism in India, but Not Racism - a Study of Bias in Word Embeddings of Indian Languages0
Cross-lingual Linking of Automatically Constructed Frames and FrameNet0
Use Case: Romanian Language Resources in the LOD Paradigm0
A Hmong Corpus with Elaborate Expression Annotations0
Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High GermanCode0
A General Framework for Detecting Metaphorical Collocations0
Evaluating Monolingual and Crosslingual Embeddings on Datasets of Word Association Norms0
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis0
Measuring Similarity by Linguistic Features rather than Frequency0
Leveraging a Bilingual Dictionary to Learn Wolastoqey Word Representations0
Evolving Large Text Corpora: Four Versions of the Icelandic Gigaword Corpus0
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French0
BERTrade: Using Contextual Embeddings to Parse Old French0
Sentence Selection Strategies for Distilling Word Embeddings from BERT0
Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches0
Entity Resolution with Hierarchical Graph Attention NetworksCode1
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings0
Semeval-2022 Task 1: CODWOE -- Comparing Dictionaries and Word EmbeddingsCode1
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