SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3251–3300 of 4002 papers

TitleStatusHype
A Multidimensional Lexicon for Interpersonal Stancetaking—0
Neural Joint Model for Transition-based Chinese Syntactic Analysis—0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task—0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data—0
Skip-Gram − Zipf + Uniform = Vector Additivity—0
Zara Returns: Improved Personality Induction and Adaptation by an Empathetic Virtual Agent—0
Learning bilingual word embeddings with (almost) no bilingual data—0
Varying Linguistic Purposes of Emoji in (Twitter) Context—0
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction—0
Multi-Attention Network for One Shot Learning—0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming—0
Character-Aware Neural Morphological Disambiguation—0
Exploring Neural Text Simplification ModelsCode0
Exploring Diachronic Lexical Semantics with JeSemECode0
Methodical Evaluation of Arabic Word Embeddings—0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word EmbeddingsCode0
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts—0
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering—0
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognitionCode0
Neural Question Answering at BioASQ 5B—0
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context—0
Jointly Learning Word Embeddings and Latent Topics—0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
A Mixture Model for Learning Multi-Sense Word Embeddings—0
A Survey Of Cross-lingual Word Embedding Models—0
Neural Domain Adaptation for Biomedical Question AnsweringCode0
Scientific document summarization via citation contextualization and scientific discourse—0
Query-by-Example Search with Discriminative Neural Acoustic Word EmbeddingsCode0
Context encoders as a simple but powerful extension of word2vecCode0
Insights into Analogy Completion from the Biomedical DomainCode0
Learning Structured Semantic Embeddings for Visual Recognition—0
Order embeddings and character-level convolutions for multimodal alignment—0
Wordsurf : un outil pour naviguer dans un espace de « Word Embeddings » (Wordsurf : a tool to surf in a ``word embeddings'' space)—0
Deep Learning for Hate Speech Detection in TweetsCode0
Learning to Compute Word Embeddings On the Fly—0
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraintsCode0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations—0
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich LanguagesCode0
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition—0
ASR error management for improving spoken language understanding—0
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge—0
Second-Order Word Embeddings from Nearest Neighbor Topological FeaturesCode0
Lightweight Efficient Multi-keyword Ranked Search over Encrypted Cloud Data using Dual Word Embeddings—0
Learning Semantic Relatedness From Human Feedback Using Metric Learning—0
Mixed Membership Word Embeddings for Computational Social Science—0
Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research—0
Evaluating vector-space models of analogy—0
Show:102550
← PrevPage 66 of 81Next →

No leaderboard results yet.