conftrace_

word embedding

1764 papers

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WE

Co-occurring keywords

text classification (6793) representation learning (6206) semantic similarity (910) sentiment analysis (2084) unsupervised learning (3264) neural network (6616) gender bia (435) named entity recognition (2813) language model (4599) natural language processing (2034)

Papers

Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns SEMEVAL 2017
A Simple Language Model based on PMI Matrix Approximations EMNLP 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings EMNLP 2017
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers SEMEVAL 2017
Modelling Representation Noise in Emotion Analysis using Gaussian Processes IJCNLP 2017
Mimicking Word Embeddings using Subword RNNs EMNLP 2017
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components EMNLP 2017
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding EMNLP 2017
VecShare: A Framework for Sharing Word Representation Vectors EMNLP 2017
Incremental Skip-gram Model with Negative Sampling EMNLP 2017
Identifying attack and support argumentative relations using deep learning EMNLP 2017
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations EMNLP 2017
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants EMNLP 2017
Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction EMNLP 2017
Distinguishing Japanese Non-standard Usages from Standard Ones EMNLP 2017
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings EMNLP 2017
The strange geometry of skip-gram with negative sampling EMNLP 2017
Language-Independent Prediction of Psycholinguistic Properties of Words IJCNLP 2017
CVBed: Structuring CVs usingWord Embeddings IJCNLP 2017
Learning to Explain Non-Standard English Words and Phrases IJCNLP 2017
CKIP at IJCNLP-2017 Task 2: Neural Valence-Arousal Prediction for Phrases IJCNLP 2017
Word-Context Character Embeddings for Chinese Word Segmentation EMNLP 2017
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification SEMEVAL 2017
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting SEMEVAL 2017