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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 3151–3175 of 4002 papers

TitleStatusHype
From Raw Text to Universal Dependencies - Look, No Tags!—0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task—0
Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task—0
A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations—0
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding—0
Cross-language Learning with Adversarial Neural Networks—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing—0
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits—0
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings—0
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text—0
The (too Many) Problems of Analogical Reasoning with Word Vectors—0
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible—0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition—0
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification—0
Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention—0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision—0
OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity—0
Semantic Frame Labeling with Target-based Neural Model—0
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment—0
deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter—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
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
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