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NTU-NLP: Monthly NLP Talks
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Reading group
Reading group
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Publications
Exploiting Syntactic and Shallow Semantic Kernels to Improve Random Walks for Complex Question Answering.
Unsupervised Approach for Selecting Sentences in Query-based Summarization.
Improving the Performance of the Random Walk Model for Answering Complex Questions.
The University of British Columbia at TAC 2008.
UofL at TAC 2008 Update Summarization and Question Answering.
Talks
Representation learning with few human annotations
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
Towards Generating Human-like Deep Questions
Structured Pointing Networks for Natural Language Understanding
Exploring a Rich Design Space for Text Summarization
Projects
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Data Diversification: A Simple Strategy For Neural Machine Translation
Differentiable Window for Dynamic Local Attention]
Efficient Constituency Parsing by Pointing
Tree-Structured Attention with Hierarchical Accumulation
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