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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 3301–3350 of 4002 papers

TitleStatusHype
Robust Training under Linguistic AdversityCode0
Diachronic Word Embeddings Reveal Statistical Laws of Semantic ChangeCode0
Diagnosing BERT with Retrieval HeuristicsCode0
DialectGram: Detecting Dialectal Variation at Multiple Geographic ResolutionsCode0
Towards Detection of Subjective Bias using Contextualized Word EmbeddingsCode0
Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and SiswatiCode0
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsCode0
Neural Disambiguation of Causal Lexical Markers Based on ContextCode0
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based ApproachCode0
Neural Domain Adaptation for Biomedical Question AnsweringCode0
Supervised Word Mover's DistanceCode0
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware LossCode0
Neural Graph Embedding Methods for Natural Language ProcessingCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Dictionary-based Debiasing of Pre-trained Word EmbeddingsCode0
Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment TaskCode0
Comparative Analysis of Word Embeddings for Capturing Word SimilaritiesCode0
Common Sense Bias in Semantic Role LabelingCode0
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein ProblemCode0
We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!Code0
Analogical Reasoning on Chinese Morphological and Semantic RelationsCode0
Unsupervised Identification of Relevant Prior CasesCode0
SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networksCode0
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation ExtractionCode0
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding AlteringCode0
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word AlignmentCode0
Towards Incremental Learning of Word Embeddings Using Context InformativenessCode0
A Comparative Study on Word Embeddings and Social NLP TasksCode0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
Combining Textual Features for the Detection of Hateful and Offensive LanguageCode0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation TaskCode0
Combining Representations For Effective Citation ClassificationCode0
Discovering and Interpreting Biased Concepts in Online CommunitiesCode0
Word2vec to behavior: morphology facilitates the grounding of language in machinesCode0
Combining financial word embeddings and knowledge-based features for financial text summarization UC3M-MC System at FNS-2020Code0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Neural Networks for Open Domain Targeted SentimentCode0
Joint Multiclass Debiasing of Word EmbeddingsCode0
3D-EX : A Unified Dataset of Definitions and Dictionary ExamplesCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word EmbeddingsCode0
Russian word sense induction by clustering averaged word embeddingsCode0
Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service RobotsCode0
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgroupingCode0
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short TextsCode0
JU\_ETCE\_17\_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in TweetsCode0
A Part-of-Speech Tagger for YiddishCode0
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