Papers
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
Sampling Bias in Deep Active Classification: An Empirical Study
Ameya Prabhu, Charles Dognin, Maneesh Singh
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
Dong Qian, William K. Cheung
Auditing Deep Learning processes through Kernel-based Explanatory Models
Danilo Croce, Daniele Rossini, Roberto Basili
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg et al.
Dialog Intent Induction with Deep Multi-View Clustering
Hugh Perkins, Yi Yang
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Liang Wang, Wei Zhao, Ruoyu Jia et al.
Learning Only from Relevant Keywords and Unlabeled Documents
Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin et al.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers, Iryna Gurevych
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
Cristina Garbacea, Samuel Carton, Shiyan Yan et al.
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach
Zhenjie Zhao, Xiaojuan Ma
Implicit Deep Latent Variable Models for Text Generation
Le Fang, Chunyuan Li, Jianfeng Gao et al.
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev et al.
A Logic-Driven Framework for Consistency of Neural Models
Tao Li, Vivek Gupta, Maitrey Mehta et al.
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Wenpeng Yin, Jamaal Hay, Dan Roth
Induction Networks for Few-Shot Text Classification
Ruiying Geng, Binhua Li, Yongbin Li et al.
ProSeqo: Projection Sequence Networks for On-Device Text Classification
Zornitsa Kozareva, Sujith Ravi
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification
Oren Melamud, Mihaela Bornea, Ken Barker
Cross-Cultural Transfer Learning for Text Classification
Dor Ringel, Gal Lavee, Ido Guy et al.
Dependency-Guided LSTM-CRF for Named Entity Recognition
Zhanming Jie, Wei Lu
Easy First Relation Extraction with Information Redundancy
Shuai Ma, Gang Wang, Yansong Feng et al.
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
Qinyuan Ye, Liyuan Liu, Maosen Zhang et al.
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
Dianbo Sui, Yubo Chen, Kang Liu et al.
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
Linmei Hu, Luhao Zhang, Chuan Shi et al.
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
Jonathan Herzig, Jonathan Berant