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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 1176–1200 of 4002 papers

TitleStatusHype
Distilling Word Embeddings: An Encoding Approach—0
Bilingually-constrained Phrase Embeddings for Machine Translation—0
Distinguishing Japanese Non-standard Usages from Standard Ones—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
Distributed Representations for Unsupervised Semantic Role Labeling—0
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading—0
Distributed Training of Embeddings using Graph Analytics—0
Distributional Analysis of Polysemous Function Words—0
Distributional Hypernym Generation by Jointly Learning Clusters and Projections—0
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation—0
Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications—0
An exploration of the encoding of grammatical gender in word embeddings—0
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach—0
Distributional Semantics for Neo-Latin—0
Distribution is not enough: going Firther—0
Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes—0
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?—0
DLRG@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models—0
DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings—0
Development of a Japanese Personality Dictionary based on Psychological Methods—0
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List—0
Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis—0
Closed Form Word Embedding Alignment—0
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
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