Papers
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain
Mingming Sun, Xu Li, Ping Li
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension
Jiahua Liu, Wan Wei, Maosong Sun et al.
A State-transition Framework to Answer Complex Questions over Knowledge Base
Sen Hu, Lei Zou, Xinbo Zhang
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis et al.
Attention-Guided Answer Distillation for Machine Reading Comprehension
Minghao Hu, Yuxing Peng, Furu Wei et al.
Zero-Shot Open Entity Typing as Type-Compatible Grounding
Ben Zhou, Daniel Khashabi, Chen-Tse Tsai et al.
Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu et al.
Visual Supervision in Bootstrapped Information Extraction
Matthew Berger, Ajay Nagesh, Joshua Levine et al.
Annotation of a Large Clinical Entity Corpus
Pinal Patel, Disha Davey, Vishal Panchal et al.
Entity Linking within a Social Media Platform: A Case Study on Yelp
Hongliang Dai, Yangqiu Song, Liwei Qiu et al.
Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin, Wei Lu
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar
Regular Expression Guided Entity Mention Mining from Noisy Web Data
Shanshan Zhang, Lihong He, Slobodan Vucetic et al.
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong, Mo Yu, Shiyu Chang et al.
Differentiating Concepts and Instances for Knowledge Graph Embedding
Xin Lv, Lei Hou, Juanzi Li et al.
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami, Noelia De La Cruz, Adam Trischler et al.
A Probabilistic Annotation Model for Crowdsourcing Coreference
Silviu Paun, Jon Chamberlain, Udo Kruschwitz et al.
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning et al.
Deriving Machine Attention from Human Rationales
Yujia Bao, Shiyu Chang, Mo Yu et al.
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Hai Wang, Hoifung Poon
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis, Tommi Jaakkola
AD3: Attentive Deep Document Dater
Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar
Learning Neural Representation for CLIR with Adversarial Framework
Bo Li, Ping Cheng