Classification

Learning to Aggregate Ordinal Labels by Maximizing Separating Width ICML 2017 Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks IJCAI 2017 Learning to Identify Ambiguous and Misleading News Headlines IJCAI 2017 Learning to Model the Tail NeurIPS 2017 Learning to Negate Adjectives with Bilinear Models EACL 2017 Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps CVPR 2017 Learning to Rank Retargeted Images CVPR 2017 Learning to Rank Semantic Coherence for Topic Segmentation EMNLP 2017 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017 Learning Video Object Segmentation From Static Images CVPR 2017 Learning What is Essential in Questions CoNLL 2017 Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers EMNLP 2017 Learning with Average Top-k Loss NeurIPS 2017 Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness IJCNLP 2017 Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis JMLR 2017 Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification IJCNLP 2017 Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter ACL 2017 Leveraging Discourse Information Effectively for Authorship Attribution IJCNLP 2017 “Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection ACL 2017 Lifelong Learning CRF for Supervised Aspect Extraction ACL 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree NeurIPS 2017 Linguistically Regularized LSTM for Sentiment Classification ACL 2017 LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model SemEval 2017 Locality Adaptive Discriminant Analysis IJCAI 2017 Locally Linear Factorization Machines IJCAI 2017