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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 1751–1775 of 4002 papers

TitleStatusHype
Towards Understanding Gender Bias in Relation ExtractionCode0
Interactive Refinement of Cross-Lingual Word EmbeddingsCode0
Ruminating Word Representations with Random Noised Masker—0
Neural Graph Embedding Methods for Natural Language ProcessingCode0
Should All Cross-Lingual Embeddings Speak English?Code0
How Can BERT Help Lexical Semantics Tasks?—0
Invariance and identifiability issues for word embeddings—0
A Deep Learning approach for Hindi Named Entity Recognition—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings—0
Assessing Social and Intersectional Biases in Contextualized Word RepresentationsCode0
Emerging Cross-lingual Structure in Pretrained Language Models—0
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation—0
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited—0
Deep Bidirectional Transformers for Relation Extraction without Supervision—0
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation—0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon—0
Multilingual Model Using Cross-Task Embedding Projection—0
Learning Conceptual Spaces with Disentangled Facets—0
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis—0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization—0
HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding—0
Extracting Possessions from Social Media: Images Complement Language—0
Exploring Human Gender Stereotypes with Word Association Test—0
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval—0
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