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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 951–1000 of 4002 papers

TitleStatusHype
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—0
Graph-based Nearest Neighbor Search in Hyperbolic Spaces—0
Reconstructing Word Embeddings via Scattered k-Sub-Embedding—0
Antonymy-Synonymy Discrimination through the Repelling Parasiamese Neural Network—0
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings—0
Marked Attribute Bias in Natural Language InferenceCode0
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding SpacesCode0
Lacking the embedding of a word? Look it up into a traditional dictionary—0
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word EmbeddingsCode0
InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline—0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
Augmenting semantic lexicons using word embeddings and transfer learningCode0
Fast query-by-example speech search using separable model—0
Gender Roles from Word Embeddings in a Century of Children’s Books—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization—0
Revisiting Tri-training of Dependency ParsersCode0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Assessing the Reliability of Word Embedding Gender Bias MeasuresCode0
ArGoT: A Glossary of Terms extracted from the arXiv—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case—0
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining—0
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words ExtractionCode0
Automatic Transformation of Clinical Narratives into Structured Format—0
Position Masking for Improved Layout-Aware Document Understanding—0
Siamese Networks for Inference in Malayalam Language Texts—0
The Impact of Word Embeddings on Neural Dependency Parsing—0
Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task—0
A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars—0
Comparing Contextual and Static Word Embeddings with Small Data—0
Abstractive Document Summarization with Word Embedding Reconstruction—0
Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora—0
Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss TranslationCode0
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch—0
Word Discriminations for Vocabulary Inventory PredictionCode0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
Sense representations for Portuguese: experiments with sense embeddings and deep neural language models—0
Opinions are Made to be Changed: Temporally Adaptive Stance ClassificationCode0
Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word EmbeddingsCode0
Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representations—0
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings—0
FeelsGoodMan: Inferring Semantics of Twitch Neologisms—0
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report—0
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political BiasesCode0
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound—0
Efficacy of BERT embeddings on predicting disaster from Twitter dataCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
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