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代码链接:https://github.com/HuiBinR/VSRB
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models
Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations
Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network
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代码链接:[https://github.com/Pranav-Goel/Neural Emotion Intensity Prediction](https://github.com/Pranav-Goel/Neural Emotion Intensity Prediction)