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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 1701–1725 of 4002 papers

TitleStatusHype
Artificial intelligence prediction of stock prices using social media—0
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs—0
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings—0
Hallym: Named Entity Recognition on Twitter with Word Representation—0
Handling Homographs in Neural Machine Translation—0
Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text—0
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings—0
Exploring the effect of semantic similarity for Phrase-based Machine Translation—0
Hash2Vec, Feature Hashing for Word Embeddings—0
Hate and Offensive Speech Detection in Hindi and Marathi—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
Article citation study: Context enhanced citation sentiment detection—0
A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition—0
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings—0
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph—0
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings—0
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English—0
Exploring sentence informativeness—0
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment—0
Exploring Semantic Representation in Brain Activity Using Word Embeddings—0
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models—0
Code-Switched Named Entity Recognition with Embedding Attention—0
Exploring Numeracy in Word Embeddings—0
Exploring Intra and Inter-language Consistency in Embeddings with ICA—0
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