Page Not Found
Page not found. Your pixels are in another canvas.
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Page not found. Your pixels are in another canvas.
This is a page not in th emain menu
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in IJCAI, 2018
In this paper, we propose a Seq2Seq model with multi-head attention mechanism, which can attend to different semantic parts of an input query for the decoder to explicitly generate reply. We call it Multi-Head Attention Aware Dialog System (MHAM).
Download here
Published in IJCAI, 2018
In this paper, we propose an adversarial multi-task neural metric for multi-lingual dialogue evaluation, using shared feature extraction across languages. In addition, we incorporate adversarial strategy to shared spaces, which aims to guarantee the purity of shared feature spaces. Our proposed model regards models that trained in different language corpora as a single task and integrates each single task under the framework of adversarial multi-task learning. Experiments show that the proposed model outperforms the monolingual ones and various existing metrics.
Download here
Published in IJCAI, 2018
In this paper, we consider the training data quality for the open-domain dialog systems. To address the noisy training data problem, we propose a generation with calibration framework to measure the qualities of the training instances and utilize the information to improve the training of the generation model. Experiments show that our framework outperforms the traditional generation models on both automatic evaluation and human evaluation metrics.
Download here
Published in AAAI, 2019
Download here
Published in EMNLP, 2019
Download here
Published in EMNLP, 2019
Download here
Published in SIGKDD, 2020
Download here
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.