word embedding

Improved Word Representation Learning with Sememes ACL 2017 Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings ACL 2017 Incremental Skip-gram Model with Negative Sampling EMNLP 2017 Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources EACL 2017 Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function ACL 2017 Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings IJCNLP 2017 Instances and concepts in distributional space EACL 2017 Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NeurIPS 2017 Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings EMNLP 2017 Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings EACL 2017 ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing SemEval 2017 Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity SemEval 2017 Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components EMNLP 2017 Knowledge Distillation for Bilingual Dictionary Induction EMNLP 2017 L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity SemEval 2017 Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines SemEval 2017 Language-Independent Prediction of Psycholinguistic Properties of Words IJCNLP 2017 LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning IJCNLP 2017 Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases EACL 2017 Learning Fine-grained Relations from Chinese User Generated Categories EMNLP 2017 Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits CoNLL 2017 Learning to Explain Non-Standard English Words and Phrases IJCNLP 2017 Learning to Negate Adjectives with Bilinear Models EACL 2017 Learning to Predict Denotational Probabilities For Modeling Entailment EACL 2017 Learning Word Representations with Regularization from Prior Knowledge CoNLL 2017