Papers
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters, Mark Neumann, Robert Logan et al.
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong, Di Wang, Chunyan Miao
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek et al.
KNU-HYUNDAI’s NMT system for Scientific Paper and Patent Tasks onWAT 2019
Cheoneum Park, Young-Jun Jung, Kihoon Kim et al.
Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model
Hyun-Je Song, Seong-Bae Park
Label Embedding using Hierarchical Structure of Labels for Twitter Classification
Taro Miyazaki, Kiminobu Makino, Yuka Takei et al.
Label-Specific Document Representation for Multi-Label Text Classification
Lin Xiao, Xin Huang, Boli Chen et al.
Language Models as Knowledge Bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel et al.
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal
Latent Part-of-Speech Sequences for Neural Machine Translation
Xuewen Yang, Yingru Liu, Dongliang Xie et al.
Latent semantic network induction in the context of linked example senses
Hunter Heidenreich, Jake Williams
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Lei Cao, Huijun Zhang, Ling Feng et al.
Latent-Variable Generative Models for Data-Efficient Text Classification
Xiaoan Ding, Kevin Gimpel
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg, Marc Hübner, David Harbecke et al.
Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin et al.
Learning Invariant Representations of Social Media Users
Nicholas Andrews, Marcus Bishop
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
John P. Lalor, Hao Wu, Hong Yu
Learning Only from Relevant Keywords and Unlabeled Documents
Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin et al.
Learning Programmatic Idioms for Scalable Semantic Parsing
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer
Learning Rhyming Constraints using Structured Adversaries
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell et al.
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
Bailin Wang, Ivan Titov, Mirella Lapata
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
Xiangrong Zeng, Shizhu He, Daojian Zeng et al.
Learning to Ask for Conversational Machine Learning
Shashank Srivastava, Igor Labutov, Tom Mitchell