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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 3601–3625 of 4002 papers

TitleStatusHype
Sense Embeddings in Knowledge-Based Word Sense DisambiguationCode0
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level RepresentationCode0
Assessing Wordnets with WordNet EmbeddingsCode0
Text Segmentation based on Semantic Word EmbeddingsCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddingsCode0
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name TypingCode0
Assessing the Reliability of Word Embedding Gender Bias MeasuresCode0
Word Discriminations for Vocabulary Inventory PredictionCode0
Evaluating Word Embeddings with Categorical ModularityCode0
Sensing Ambiguity in Henry James' "The Turn of the Screw"Code0
Assessing Social and Intersectional Biases in Contextualized Word RepresentationsCode0
Paraphrases do not explain word analogiesCode0
Learning Word Embeddings with Domain AwarenessCode0
Evaluation of Croatian Word EmbeddingsCode0
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional PriorCode0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Learning Word Meta-Embeddings by AutoencodingCode0
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder modelsCode0
Urdu Word EmbeddingsCode0
TF-CR: Weighting Embeddings for Text ClassificationCode0
Evaluation of sentence embeddings in downstream and linguistic probing tasksCode0
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task TrainingCode0
URLNet: Learning a URL Representation with Deep Learning for Malicious URL DetectionCode0
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial StudyCode0
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