SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2701–2750 of 4002 papers

TitleStatusHype
NEUROSENT-PDI at SemEval-2018 Task 1: Leveraging a Multi-Domain Sentiment Model for Inferring Polarity in Micro-blog Text—0
T\"ubingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction—0
TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction—0
TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors—0
Addressing Low-Resource Scenarios with Character-aware Embeddings—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings—0
Evaluating bilingual word embeddings on the long tailCode0
Detecting Figurative Word Occurrences Using Recurrent Neural Networks—0
Conditional Random Fields for Metaphor Detection—0
Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality—0
UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes?—0
UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings—0
Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical Cues—0
Predicting Word Embeddings Variability—0
UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones—0
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text ClassificationCode0
300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes—0
UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes—0
Pruning Basic Elements for Better Automatic Evaluation of Summaries—0
Meaning\_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings—0
DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings—0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning—0
ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora—0
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines—0
Multi-Module Recurrent Neural Networks with Transfer Learning—0
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings—0
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection—0
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia—0
Multimodal Frame Identification with Multilingual Evaluation—0
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter—0
Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector Machine—0
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation—0
DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning—0
UWB at SemEval-2018 Task 3: Irony detection in English tweets—0
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
Bidirectional Retrieval Made Simple—0
Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor DetectionCode0
Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
Inducing a Lexicon of Abusive Words – a Feature-Based ApproachCode0
Using Language Learner Data for Metaphor DetectionCode0
Querying Word Embeddings for Similarity and Relatedness—0
LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction—0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
BLCU\_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention—0
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases—0
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics—0
Show:102550
← PrevPage 55 of 81Next →

No leaderboard results yet.