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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 2451–2500 of 4002 papers

TitleStatusHype
Complementary Strategies for Low Resourced Morphological Modeling—0
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection—0
Quantifying Context Overlap for Training Word Embeddings—0
How to represent a word and predict it, too: Improving tied architectures for language modelling—0
Siamese Network-Based Supervised Topic Modeling—0
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets—0
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task—0
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop—0
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction—0
Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation—0
SParse: Ko University Graph-Based Parsing System for the CoNLL 2018 Shared Task—0
A Neural Local Coherence Model for Text Quality Assessment—0
Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task—0
Modeling Input Uncertainty in Neural Network Dependency ParsingCode0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
Modelling Salient Features as Directions in Fine-Tuned Semantic SpacesCode0
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network—0
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning—0
Streaming word similarity mining on the cheap—0
Auto-Encoding Dictionary Definitions into Consistent Word EmbeddingsCode0
Tree-Stack LSTM in Transition Based Dependency ParsingCode0
An LSTM Approach to Short Text Sentiment Classification with Word Embeddings—0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
Syntax Encoding with Application in Authorship Attribution—0
Synthetic Data Made to Order: The Case of ParsingCode0
Phrase-level Self-Attention Networks for Universal Sentence Encoding—0
Cross-lingual Lexical Sememe PredictionCode0
Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
An Unsupervised System for Parallel Corpus Filtering—0
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification—0
Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity—0
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
The LMU Munich Unsupervised Machine Translation Systems—0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
Deep Learning for Social Media Health Text Classification—0
NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level PreprocessingCode0
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings—0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
Disambiguated skip-gram model—0
Parameter-free Sentence Embedding via Orthogonal BasisCode0
Consistency and Variation in Kernel Neural Ranking Model—0
BLISS in Non-Isometric Embedding Spaces—0
Semi-supervised Learning with Multi-Domain Sentiment Word Embeddings—0
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