| Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network | Sep 1, 2017 | ClassificationGeneral Classification | —Unverified | 0 |
| Idiom-Aware Compositional Distributed Semantics | Sep 1, 2017 | General ClassificationMachine Translation | —Unverified | 0 |
| Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision | Sep 1, 2017 | Opinion MiningRepresentation Learning | CodeCode Available | 0 |
| Robust Task Clustering for Deep Many-Task Learning | Aug 26, 2017 | ClusteringFew-Shot Learning | —Unverified | 0 |
| Leveraging Sparse and Dense Feature Combinations for Sentiment Classification | Aug 13, 2017 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese | Aug 10, 2017 | General ClassificationSentiment Analysis | —Unverified | 0 |
| Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN | Aug 8, 2017 | Aspect ExtractionDomain Adaptation | CodeCode Available | 0 |
| Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations | Aug 1, 2017 | ClassificationClustering | —Unverified | 0 |
| Learning Word Representations with Regularization from Prior Knowledge | Aug 1, 2017 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information | Aug 1, 2017 | Feature EngineeringQuestion Answering | —Unverified | 0 |
