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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 1526–1550 of 4002 papers

TitleStatusHype
Combining rule-based and embedding-based approaches to normalize textual entities with an ontology—0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels—0
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Addressing Noise in Multidialectal Word Embeddings—0
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages—0
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor—0
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction—0
Combining Discourse Markers and Cross-lingual Embeddings for Synonym--Antonym Classification—0
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training—0
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP—0
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook—0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic—0
Fashioning Data - A Social Media Perspective on Fast Fashion Brands—0
Extremely Small BERT Models from Mixed-Vocabulary Training—0
Combining BERT with Static Word Embeddings for Categorizing Social Media—0
Faster Training of Word Embeddings—0
A Sequence Learning Method for Domain-Specific Entity Linking—0
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