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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 1151–1200 of 4002 papers

TitleStatusHype
An Exploration of Word Embedding Initialization in Deep-Learning Tasks—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings—0
D-Graph: AI-Assisted Design Concept Exploration Graph—0
Bilexical Embeddings for Quality Estimation—0
Discovering Bilingual Lexicons in Polyglot Word Embeddings—0
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities—0
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring—0
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes—0
Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases—0
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
Discrete Wavelet Transform for Efficient Word Embeddings and Sentence Encoding—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches—0
Discriminative Pre-training for Low Resource Title Compression in Conversational Grocery—0
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings—0
Easy-First Dependency Parsing with Hierarchical Tree LSTMs—0
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task—0
Dissecting Contextual Word Embeddings: Architecture and Representation—0
Distance Metric Learning for Aspect Phrase Grouping—0
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
Distilled embedding: non-linear embedding factorization using knowledge distillation—0
Distilled Wasserstein Learning for Word Embedding and Topic Modeling—0
Development of Word Embeddings for Uzbek Language—0
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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