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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 1951–2000 of 4002 papers

TitleStatusHype
Dialog State Tracking: A Neural Reading Comprehension Approach—0
Word2vec to behavior: morphology facilitates the grounding of language in machinesCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
SyntaxFest 2019 Invited talk - Quantitative Computational Syntax: dependencies, intervention effects and word embeddings—0
WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation—0
Noisy Parallel Corpus Filtering through Projected Word Embeddings—0
The LMU Munich Unsupervised Machine Translation System for WMT19—0
Learning Joint Acoustic-Phonetic Word Embeddings—0
JHU System Description for the MADAR Arabic Dialect Identification Shared Task—0
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian—0
Semantic Change in the Language of UK Parliamentary Debates—0
Contributions to Clinical Named Entity Recognition in PortugueseCode0
Identification of Adjective-Noun Neologisms using Pretrained Language ModelsCode0
Contextualized Diachronic Word RepresentationsCode0
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings—0
Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings—0
RNN Embeddings for Identifying Difficult to Understand Medical WordsCode0
Unsupervised Compositional Translation of Multiword Expressions—0
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
Equipping Educational Applications with Domain Knowledge—0
Enhancing biomedical word embeddings by retrofitting to verb clustersCode0
Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings—0
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects—0
Derivational Morphological Relations in Word Embeddings—0
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English—0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian—0
Improving Word Embeddings Using Kernel PCA—0
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis—0
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts—0
Composing Noun Phrase Vector Representations—0
What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian—0
The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations—0
Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language—0
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques—0
Learning Word Embeddings without Context Vectors—0
NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets—0
A Platform Agnostic Dual-Strand Hate Speech Detector—0
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by AutoencodingCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word CategoriesCode0
A Hierarchically-Labeled Portuguese Hate Speech DatasetCode0
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings—0
SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation—0
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news textsCode0
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy—0
Representation Degeneration Problem in Training Natural Language Generation ModelsCode0
LINSPECTOR WEB: A Multilingual Probing Suite for Word RepresentationsCode0
Distributional Analysis of Polysemous Function Words—0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Learning dynamic word embeddings with drift regularisation—0
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