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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
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation—0
Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts—0
Clickbait detection using word embeddings—0
Investigating Gender Bias in BERT—0
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?—0
Investigating Language Universal and Specific Properties in Word Embeddings—0
Investigating neural architectures for short answer scoring—0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian—0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
Event Role Labelling using a Neural Network Model (\'Etiquetage en r\^oles \'ev\'enementiels fond\'e sur l'utilisation d'un mod\`ele neuronal) [in French]—0
Event Role Extraction using Domain-Relevant Word Representations—0
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection—0
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch—0
Event Ordering with a Generalized Model for Sieve Prediction Ranking—0
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later—0
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics—0
Are Word Embedding-based Features Useful for Sarcasm Detection?—0
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings—0
Event Detection Using Frame-Semantic Parser—0
Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings—0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention—0
Is there Gender bias and stereotype in Portuguese Word Embeddings?—0
Is ``Universal Syntax'' Universally Useful for Learning Distributed Word Representations?—0
ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
Evaluation of Word Embeddings for the Social Sciences—0
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution—0
IxaMed at PharmacoNER Challenge 2019—0
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks—0
Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions—0
Japanese Lexical Simplification for Non-Native Speakers—0
Japanese Word Readability Assessment using Word Embeddings—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
JeSemE: Interleaving Semantics and Emotions in a Web Service for the Exploration of Language Change Phenomena—0
Classifying Out-of-vocabulary Terms in a Domain-Specific Social Media Corpus—0
JHU System Description for the MADAR Arabic Dialect Identification Shared Task—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
Evaluation of Question Answering Systems: Complexity of judging a natural language—0
Joint Learning from Labeled and Unlabeled Data for Information Retrieval—0
Evaluation of Morphological Embeddings for the Russian Language—0
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy—0
Evaluation of Greek Word Embeddings—0
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding—0
Jointly Learning to Embed and Predict with Multiple Languages—0
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—0
Classification of Micro-Texts Using Sub-Word Embeddings—0
Jointly modelling the evolution of social structure and language in online communities—0
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content—0
A Locally Linear Procedure for Word Translation—0
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