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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 17511800 of 4002 papers

TitleStatusHype
Towards Understanding Gender Bias in Relation ExtractionCode0
Neural Graph Embedding Methods for Natural Language ProcessingCode0
Should All Cross-Lingual Embeddings Speak English?Code0
Interactive Refinement of Cross-Lingual Word EmbeddingsCode0
Ruminating Word Representations with Random Noised Masker0
How Can BERT Help Lexical Semantics Tasks?0
Invariance and identifiability issues for word embeddings0
A Deep Learning approach for Hindi Named Entity Recognition0
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition0
Assessing Social and Intersectional Biases in Contextualized Word RepresentationsCode0
Emerging Cross-lingual Structure in Pretrained Language Models0
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation0
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited0
Deep Bidirectional Transformers for Relation Extraction without Supervision0
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon0
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings0
HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection0
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval0
Extracting Possessions from Social Media: Images Complement Language0
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition0
Exploring Human Gender Stereotypes with Word Association Test0
Multilingual Model Using Cross-Task Embedding Projection0
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling0
Learning Conceptual Spaces with Disentangled Facets0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization0
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects0
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis0
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases0
Contextualized context2vec0
Context-Aware Neural Machine Translation Decoding0
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine0
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings0
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task0
Recognizing UMLS Semantic Types with Deep Learning0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation0
IxaMed at PharmacoNER Challenge 20190
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes0
BioReddit: Word Embeddings for User-Generated Biomedical NLP0
Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping0
Probabilistic Bias Mitigation in Word Embeddings0
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 Vietnamese0
Detect Toxic Content to Improve Online Conversations0
Word-level Textual Adversarial Attacking as Combinatorial OptimizationCode0
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention0
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