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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 2951–3000 of 4002 papers

TitleStatusHype
Regionalized models for Spanish language variations based on Twitter—0
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings—0
A Lexicalized Tree Kernel for Open Information Extraction—0
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective—0
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning—0
Alignment-free Cross-lingual Semantic Role Labeling—0
A Linear Dynamical System Model for Text—0
A Linguistically Informed Convolutional Neural Network—0
All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages—0
All That Glitters is Not Gold: A Gold Standard of Adjective-Noun Collocations for German—0
All-words Word Sense Disambiguation Using Concept Embeddings—0
A Locally Linear Procedure for Word Translation—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic—0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation—0
A Methodology for Studying Linguistic and Cultural Change in China, 1900-1950—0
A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition—0
A Mixture Model for Learning Multi-Sense Word Embeddings—0
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification—0
A Model of Zero-Shot Learning of Spoken Language Understanding—0
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
A mostly unlexicalized model for recognizing textual entailment—0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
A Multidimensional Lexicon for Interpersonal Stancetaking—0
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks—0
A multilabel approach to morphosyntactic probing—0
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis—0
A multi-level approach for hierarchical Ticket Classification—0
A Multimodal Approach towards Emotion Recognition of Music using Audio and Lyrical Content—0
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations—0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
A Multi-task Approach to Learning Multilingual Representations—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics—0
A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining—0
Analogical Proportions and Creativity: A Preliminary Study—0
Analogies Explained: Towards Understanding Word Embeddings—0
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.—0
Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings—0
Analysis of Inferences in Chinese for Opinion Mining—0
Analysis of Italian Word Embeddings—0
Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction—0
Analysis of Word Embeddings Using Fuzzy Clustering—0
Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models—0
Analyzing autoencoder-based acoustic word embeddings—0
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