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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 801–850 of 4002 papers

TitleStatusHype
Contrastive Word Embedding Learning for Neural Machine Translation—0
Gender Roles from Word Embeddings in a Century of Children’s Books—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
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
ArGoT: A Glossary of Terms extracted from the arXiv—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
A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars—0
Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss TranslationCode0
Abstractive Document Summarization with Word Embedding Reconstruction—0
Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora—0
Siamese Networks for Inference in Malayalam Language Texts—0
Word Discriminations for Vocabulary Inventory PredictionCode0
Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task—0
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch—0
Comparing Contextual and Static Word Embeddings with Small Data—0
The Impact of Word Embeddings on Neural Dependency Parsing—0
Position Masking for Improved Layout-Aware Document Understanding—0
Sense representations for Portuguese: experiments with sense embeddings and deep neural language models—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
Opinions are Made to be Changed: Temporally Adaptive Stance ClassificationCode0
Train Short, Test Long: Attention with Linear Biases Enables Input Length ExtrapolationCode2
Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word EmbeddingsCode0
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings—0
Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representations—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
IsoScore: Measuring the Uniformity of Embedding Space UtilizationCode1
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
Transferring Knowledge Distillation for Multilingual Social Event DetectionCode1
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
Evolution of emotion semanticsCode0
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional PreferencesCode0
NPVec1: Word Embeddings for Nepali - Construction and EvaluationCode1
Implicit Phenomena in Short-answer Scoring Data—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
MXX@FinSim3 - An LSTM–based approach with custom word embeddings for hypernym detection in financial texts—0
Paradigm Clustering with Weighted Edit Distance—0
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