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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 3301–3350 of 4002 papers

TitleStatusHype
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
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
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
Building Semantic Grams of Human Knowledge—0
Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit—0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
Can Domain Adaptation be Handled as Analogies?—0
Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings—0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Captioning Images with Novel Objects via Online Vocabulary Expansion—0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models—0
Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software—0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling—0
Casteism in India, but Not Racism - a Study of Bias in Word Embeddings of Indian Languages—0
Positional Artefacts Propagate Through Masked Language Model Embeddings—0
應用詞向量於語言樣式探勘之研究 (Mining Language Patterns Using Word Embeddings) [In Chinese]—0
Censorship of Online Encyclopedias: Implications for NLP Models—0
CERM: Context-aware Literature-based Discovery via Sentiment Analysis—0
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Character aware models with similarity learning for metaphor detection—0
Character-Aware Neural Morphological Disambiguation—0
Character-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Character n-gram Embeddings to Improve RNN Language Models—0
ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View—0
Chinese Event Extraction Using DeepNeural Network with Word Embedding—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
Chinese Zero Pronoun Resolution with Deep Neural Networks—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
City2City: Translating Place Representations across Cities—0
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs—0
CLaC at SMM4H 2020: Birth Defect Mention Detection—0
CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words—0
Classification Attention for Chinese NER—0
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