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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 3001–3050 of 4002 papers

TitleStatusHype
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN—0
Convolutional Neural Networks for Sentiment Classification on Business Reviews—0
Word Translation Without Parallel DataCode0
MoNoise: Modeling Noise Using a Modular Normalization SystemCode0
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis—0
Clickbait detection using word embeddings—0
Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics—0
Low-resource bilingual lexicon extraction using graph based word embeddings—0
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 LanguagesCode0
Syntactic and Semantic Features For Code-Switching Factored Language Models—0
Cross-Language Question Re-Ranking—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Improving Lexical Choice in Neural Machine TranslationCode0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction—0
Synonym Discovery with Etymology-based Word Embeddings—0
Structured Embedding Models for Grouped DataCode0
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models—0
Learning of Colors from Color Names: Distribution and Point EstimationCode0
KeyVec: Key-semantics Preserving Document Representations—0
Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity RecognitionCode0
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts—0
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings—0
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration—0
Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Think Globally, Embed Locally --- Locally Linear Meta-embedding of WordsCode0
Improving Opinion-Target Extraction with Character-Level Word Embeddings—0
MetaLDA: a Topic Model that Efficiently Incorporates Meta informationCode0
Leveraging Distributional Semantics for Multi-Label Learning—0
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets—0
Empower Sequence Labeling with Task-Aware Neural Language ModelCode0
Affective Neural Response Generation—0
StarSpace: Embed All The Things!Code0
Social Media Text Processing and Semantic Analysis for Smart Cities—0
Improving average ranking precision in user searches for biomedical research datasets—0
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings—0
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a DiscourseCode0
Using k-way Co-occurrences for Learning Word Embeddings—0
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment—0
Hypothesis Testing based Intrinsic Evaluation of Word Embeddings—0
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects—0
Learning Neural Word Salience ScoresCode0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
MappSent: a Textual Mapping Approach for Question-to-Question Similarity—0
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity—0
NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets—0
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics—0
Neural Networks and Spelling Features for Native Language Identification—0
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games—0
Multi-entity sentiment analysis using entity-level feature extraction and word embeddings approach—0
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