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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 2601–2650 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
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment—0
Language Modelling for Speaker Diarization in Telephonic Interviews—0
Language Models as Zero-shot Visual Semantic Learners—0
Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting—0
Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting—0
Language Transfer Learning for Supervised Lexical Substitution—0
Large scale analysis of gender bias and sexism in song lyrics—0
Large Scale Substitution-based Word Sense Induction—0
Large-scale Taxonomy Induction Using Entity and Word Embeddings—0
Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification—0
LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model—0
Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings—0
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention—0
Latent Topic Embedding—0
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures—0
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections—0
Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study on Speech Emotion Recognition—0
LCT-MALTA's Submission to RepEval 2017 Shared Task—0
LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning—0
LEAPME: Learning-based Property Matching with Embeddings—0
Learned In Speech Recognition: Contextual Acoustic Word Embeddings—0
Learned in Speech Recognition: Contextual Acoustic Word Embeddings—0
Learning acoustic word embeddings with phonetically associated triplet network—0
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search—0
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