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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 1251–1300 of 4002 papers

TitleStatusHype
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection—0
ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
EDGAR-CORPUS: Billions of Tokens Make The World Go Round—0
Enhancing General Sentiment Lexicons for Domain-Specific Use—0
EduBERT: Pretrained Deep Language Models for Learning Analytics—0
Effective Context and Fragment Feature Usage for Named Entity Recognition—0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes—0
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering—0
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks—0
Effect of Text Color on Word Embeddings—0
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding—0
Effects of Creativity and Cluster Tightness on Short Text Clustering Performance—0
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context—0
A Cross-lingual Natural Language Processing Framework for Infodemic Management—0
Efficient Contextual Representation Learning Without Softmax Layer—0
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings—0
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space—0
Detect Toxic Content to Improve Online Conversations—0
Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features—0
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
EICA Team at SemEval-2018 Task 2: Semantic and Metadata-based Features for Multilingual Emoji Prediction—0
A Platform Agnostic Dual-Strand Hate Speech Detector—0
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)—0
ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning—0
ELiRF-UPV at SemEval-2017 Task 7: Pun Detection and Interpretation—0
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge—0
Elucidating Conceptual Properties from Word Embeddings—0
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic—0
Beyond Adjacency Pairs: Hierarchical Clustering of Long Sequences for Human-Machine Dialogues—0
An Explanatory Query-Based Framework for Exploring Academic Expertise—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Embedding Grammars—0
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings—0
Embeddings as representation for symbolic music—0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature—0
BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding—0
Embeddings in Natural Language Processing—0
Embedding Space Correlation as a Measure of Domain Similarity—0
Building a robust sentiment lexicon with (almost) no resource—0
Embedding Structured Dictionary Entries—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Detecting weak and strong Islamophobic hate speech on social media—0
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