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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 701–750 of 4002 papers

TitleStatusHype
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View—0
Complex networks based word embeddings—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
Chinese Zero Pronoun Resolution with Deep Neural Networks—0
Are Girls Neko or Sh\=ojo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization—0
Composing Word Vectors for Japanese Compound Words Using Bilingual Word Embeddings—0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
City2City: Translating Place Representations across Cities—0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
CLaC at SMM4H 2020: Birth Defect Mention Detection—0
CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words—0
A Review of Cross-Domain Text-to-SQL Models—0
Classification Attention for Chinese NER—0
Comparison of Short-Text Sentiment Analysis Methods for Croatian—0
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content—0
Classification of Micro-Texts Using Sub-Word Embeddings—0
Classifying Out-of-vocabulary Terms in a Domain-Specific Social Media Corpus—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention—0
Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings—0
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later—0
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection—0
Clickbait detection using word embeddings—0
Clinical Abbreviation Disambiguation Using Neural Word Embeddings—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Clinical Event Detection with Hybrid Neural Architecture—0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
Clinical Named Entity Recognition using Contextualized Token Representations—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
ArGoT: A Glossary of Terms extracted from the arXiv—0
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way—0
Argumentative Topology: Finding Loop(holes) in Logic—0
Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints—0
Clustering is Efficient for Approximate Maximum Inner Product Search—0
Argument from Old Man’s View: Assessing Social Bias in Argumentation—0
Clustering of Russian Adjective-Noun Constructions using Word Embeddings—0
Clustering Prominent People and Organizations in Topic-Specific Text Corpora—0
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic—0
An Unsupervised Approach for Mapping between Vector Spaces—0
Cluster Labeling by Word Embeddings and WordNet's Hypernymy—0
Comparison of Representations of Named Entities for Document Classification—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
BLISS in Non-Isometric Embedding Spaces—0
Blinov: Distributed Representations of Words for Aspect-Based Sentiment Analysis at SemEval 2014—0
Code-Switched Named Entity Recognition with Embedding Attention—0
Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence—0
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