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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 1801–1850 of 4002 papers

TitleStatusHype
Deep Bidirectional Transformers for Relation Extraction without Supervision—0
Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings—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
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task—0
Multilingual Model Using Cross-Task Embedding Projection—0
Recognizing UMLS Semantic Types with Deep Learning—0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection—0
Contextualized context2vec—0
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases—0
HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding—0
Context-Aware Neural Machine Translation Decoding—0
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings—0
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation—0
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine—0
Extracting Possessions from Social Media: Images Complement Language—0
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval—0
Exploring Human Gender Stereotypes with Word Association Test—0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation—0
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis—0
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling—0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes—0
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings—0
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects—0
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition—0
Learning Conceptual Spaces with Disentangled Facets—0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization—0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning—0
IxaMed at PharmacoNER Challenge 2019—0
Probabilistic Bias Mitigation in Word Embeddings—0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping—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
Textual Data for Time Series Forecasting—0
Wasserstein distances for evaluating cross-lingual embeddings—0
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings—0
Towards Automated Website Classification by Deep Learning—0
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity—0
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors—0
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings—0
An Improved Historical Embedding without Alignment—0
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates—0
Keyphrase Extraction from Disaster-related Tweets—0
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding—0
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings—0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings—0
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