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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 2601–2625 of 4002 papers

TitleStatusHype
Key Phrase Extraction & Applause Prediction—0
Keyphrase Extraction from Disaster-related Tweets—0
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings—0
Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings—0
Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks—0
KeyVec: Key-semantics Preserving Document Representations—0
Keyword-centered Collocating Topic Analysis—0
KIT-Multi: A Translation-Oriented Multilingual Embedding Corpus—0
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge—0
Know-Center at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter using CNNs—0
Knowing the Author by the Company His Words Keep—0
Knowledge-Base Enriched Word Embeddings for Biomedical Domain—0
Knowledge Distillation for Bilingual Dictionary Induction—0
Knowledge-Driven Event Embedding for Stock Prediction—0
Knowledge Graph and Text Jointly Embedding—0
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation—0
L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity—0
L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources—0
Lacking the embedding of a word? Look it up into a traditional dictionary—0
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM—0
Language adaptation experiments via cross-lingual embeddings for related languages—0
Language-Agnostic Model for Aspect-Based Sentiment Analysis—0
Language classification from bilingual word embedding graphs—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings—0
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