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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 2351–2400 of 4002 papers

TitleStatusHype
TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors—0
TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA—0
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection—0
Tales and Tropes: Gender Roles from Word Embeddings in a Century of Children’s Books—0
Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
Target word activity detector: An approach to obtain ASR word boundaries without lexicon—0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization—0
Task-oriented Domain-specific Meta-Embedding for Text Classification—0
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification—0
TASTY: Interactive Entity Linking As-You-Type—0
Taxonomy Enrichment with Text and Graph Vector Representations—0
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network—0
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields—0
Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents—0
\#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets—0
Team Stanford ACMLab at SemEval 2022 Task 4: Textual Analysis of PCL Using Contextual Word Embeddings—0
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence—0
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants—0
Temporal Embeddings and Transformer Models for Narrative Text Understanding—0
TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing—0
Temporal Word Meaning Disambiguation using TimeLMs—0
Ten Pairs to Tag -- Multilingual POS Tagging via Coarse Mapping between Embeddings—0
Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings—0
Testing APSyn against Vector Cosine on Similarity Estimation—0
Text-based inference of moral sentiment change—0
Text-based Sentiment Analysis and Music Emotion Recognition—0
Text classification in shipping industry using unsupervised models and Transformer based supervised models—0
Text Classification with Few Examples using Controlled Generalization—0
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification—0
Text Document Clustering: Wordnet vs. TF-IDF vs. Word Embeddings—0
Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets—0
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval—0
Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing—0
Text Similarity Using Word Embeddings to Classify Misinformation—0
Textual Aggression Detection through Deep Learning—0
Textual Data for Time Series Forecasting—0
TF-IDF Character N-grams versus Word Embedding-based Models for Fine-grained Event Classification: A Preliminary Study—0
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction—0
thecerealkiller at SemEval-2016 Task 4: Deep Learning based System for Classifying Sentiment of Tweets on Two Point Scale—0
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings—0
The CMU Submission for the Shared Task on Language Identification in Code-Switched Data—0
The Corpus Replication Task—0
The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification—0
The DKU System Description for The Interspeech 2021 Auto-KWS Challenge—0
The Effectiveness of Pre-Trained Code Embeddings—0
The Effect of Pretraining on Extractive Summarization for Scientific Documents—0
The effects of gender bias in word embeddings on depression prediction—0
The emergent algebraic structure of RNNs and embeddings in NLP—0
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