Papers
6,952 papers found
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN
Van-Hien Tran, Van-Thuy Phi, Hiroyuki Shindo et al.
Relation Discovery with Out-of-Relation Knowledge Base as Supervision
Yan Liang, Xin Liu, Jianwen Zhang et al.
Relation Extraction using Explicit Context Conditioning
Gaurav Singh, Parminder Bhatia
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision
Jianhao Yan, Lin He, Ruqin Huang et al.
Repurposing Entailment for Multi-Hop Question Answering Tasks
Harsh Trivedi, Heeyoung Kwon, Tushar Khot et al.
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi
Rethinking Complex Neural Network Architectures for Document Classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang et al.
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations
Guangxiang Zhao, Jingjing Xu, Qi Zeng et al.
Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training
Tasnim Mohiuddin, Shafiq Joty
Revisiting NMT for Normalization of Early English Letters
Mika Hämäläinen, Tanja Säily, Jack Rueter et al.
Revisiting Visual Grounding
Erik Conser, Kennedy Hahn, Chandler Watson et al.
Reviving a psychometric measure: Classification and prediction of the Operant Motive Test
Dirk Johannßen, Chris Biemann, David Scheffer
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili et al.
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling
Prince Zizhuang Wang, William Yang Wang
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet et al.
RST-Tace A tool for automatic comparison and evaluation of RST trees
Shujun Wan, Tino Kutschbach, Anke Lüdeling et al.
Saliency Learning: Teaching the Model Where to Pay Attention
Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi et al.
Scalable Collapsed Inference for High-Dimensional Topic Models
Rashidul Islam, James Foulds
Scalable Methods for Annotating Legal-Decision Corpora
Lisa Ferro, John Aberdeen, Karl Branting et al.
Scalable, Semi-Supervised Extraction of Structured Information from Scientific Literature
Kritika Agrawal, Aakash Mittal, Vikram Pudi
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen et al.
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
Peng Lu, Ting Bai, Philippe Langlais
SC-UPB at the VarDial 2019 Evaluation Campaign: Moldavian vs. Romanian Cross-Dialect Topic Identification
Cristian Onose, Dumitru-Clementin Cercel, Stefan Trausan-Matu
SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia
Keval Morabia, Neti Lalita Bhanu Murthy, Aruna Malapati et al.
Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims
Sihao Chen, Daniel Khashabi, Wenpeng Yin et al.