Search Results for author:
Found 6 papers, 2 papers with code
Robust Representation Learning of Biomedical Names
Moreover, our proposed method is also able to compute meaningful representations for unseen names, resulting in high practical utility in real-world applications.
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
This paper tackles the problem of reading comprehension over long narratives where documents easily span over thousands of tokens.
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
For the first time, we show that the semantic relationships between the mentioned entities are in fact less dense than expected.
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring
Our new method proposes a new \textsc{SkipFlow} mechanism that models relationships between snapshots of the hidden representations of a long short-term memory (LSTM) network as it reads.
Ranked #4 on
Automated Essay Scoring
on ASAP
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
Unfortunately, many state-of-the-art relational learning models ignore this information due to the challenging nature of dealing with non-discrete data types in the inherently binary-natured knowledge graphs.
Cross Device Matching for Online Advertising with Neural Feature Ensembles : First Place Solution at CIKM Cup 2016
We describe the 1st place winning approach for the CIKM Cup 2016 Challenge.
