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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 601–650 of 4002 papers

TitleStatusHype
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN—0
Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction—0
Clustering of Russian Adjective-Noun Constructions using Word Embeddings—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling—0
Clustering is Efficient for Approximate Maximum Inner Product Search—0
Clustering Prominent People and Organizations in Topic-Specific Text Corpora—0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Combining rule-based and embedding-based approaches to normalize textual entities with an ontology—0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
A Joint Model for Word Embedding and Word Morphology—0
Clinical Abbreviation Disambiguation Using Neural Word Embeddings—0
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection—0
AI-KU at SemEval-2016 Task 11: Word Embeddings and Substring Features for Complex Word Identification—0
Clickbait detection using word embeddings—0
Clinical Event Detection with Hybrid Neural Architecture—0
Any-language frame-semantic parsing—0
bot.zen @ EmpiriST 2015 - A minimally-deep learning PoS-tagger (trained for German CMC and Web data)—0
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
Bootstrapping Polar-Opposite Emotion Dimensions from Online Reviews—0
Any-gram Kernels for Sentence Classification: A Sentiment Analysis Case Study—0
Bootstrapping NLU Models with Multi-task Learning—0
Bootstrapping Multilingual AMR with Contextual Word Alignments—0
An Unsupervised System for Parallel Corpus Filtering—0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes—0
基於相依詞向量的剖析結果重估與排序(N-best Parse Rescoring Based on Dependency-Based Word Embeddings)—0
A Hybrid Learning Scheme for Chinese Word Embedding—0
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network—0
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
A Cross-lingual Natural Language Processing Framework for Infodemic Management—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling—0
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later—0
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation—0
A Platform Agnostic Dual-Strand Hate Speech Detector—0
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)—0
A polar coordinate system represents syntax in large language models—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Clinical Named Entity Recognition using Contextualized Token Representations—0
BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding—0
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings—0
Building a robust sentiment lexicon with (almost) no resource—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
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