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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 3451–3500 of 4002 papers

TitleStatusHype
Distributional Hypernym Generation by Jointly Learning Clusters and Projections—0
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings—0
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling—0
Latent Topic Embedding—0
Improved Word Embeddings with Implicit Structure Information—0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
Structured Generative Models of Continuous Features for Word Sense Induction—0
Different Contexts Lead to Different Word Embeddings—0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
TASTY: Interactive Entity Linking As-You-Type—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora—0
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings—0
Local-Global Vectors to Improve Unigram Terminology Extraction—0
Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis—0
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings—0
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading—0
Regular polysemy: from sense vectors to sense patterns—0
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
CogALex-V Shared Task: LOPE—0
Residual Stacking of RNNs for Neural Machine Translation—0
Japanese Lexical Simplification for Non-Native Speakers—0
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters—0
Feelings from the Past---Adapting Affective Lexicons for Historical Emotion Analysis—0
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP—0
Exploration of register-dependent lexical semantics using word embeddingsCode0
Extracting Social Networks from Literary Text with Word Embedding Tools—0
DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets—0
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
Identity-sensitive Word Embedding through Heterogeneous Networks—0
Geometry of CompositionalityCode0
Bidirectional LSTM-CRF for Clinical Concept ExtractionCode0
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images—0
Sampled Image Tagging and Retrieval Methods on User Generated Content—0
Visualizing Linguistic Shift—0
Word and Document Embeddings based on Neural Network Approaches—0
Zero-Shot Visual Question Answering—0
A Semi-supervised Framework for Image CaptioningCode0
Attending to Characters in Neural Sequence Labeling Models—0
Multi-view Recurrent Neural Acoustic Word Embeddings—0
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation—0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches—0
Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsCode0
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