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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 18011825 of 4002 papers

TitleStatusHype
Deep Bidirectional Transformers for Relation Extraction without Supervision0
IxaMed at PharmacoNER Challenge 20190
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon0
Contextualized context2vec0
HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding0
Context-Aware Neural Machine Translation Decoding0
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings0
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task0
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings0
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization0
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine0
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval0
Multilingual Model Using Cross-Task Embedding Projection0
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases0
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis0
Extracting Possessions from Social Media: Images Complement Language0
Exploring Human Gender Stereotypes with Word Association Test0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation0
Learning Conceptual Spaces with Disentangled Facets0
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling0
Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes0
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects0
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