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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 1776–1800 of 4002 papers

TitleStatusHype
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling—0
Learning Conceptual Spaces with Disentangled Facets—0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization—0
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects—0
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis—0
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases—0
Contextualized context2vec—0
Context-Aware Neural Machine Translation Decoding—0
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine—0
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings—0
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task—0
Recognizing UMLS Semantic Types with Deep Learning—0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation—0
IxaMed at PharmacoNER Challenge 2019—0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes—0
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings—0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning—0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping—0
Probabilistic Bias Mitigation in Word Embeddings—0
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?Code0
LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese—0
Detect Toxic Content to Improve Online Conversations—0
Word-level Textual Adversarial Attacking as Combinatorial OptimizationCode0
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention—0
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