I am a first-year Ph.D. student in the Computer Science Department at University of California, Santa Barbara. I am advised by Professor William Y. Wang and affiliated with the UCSB NLP Group. My research interests lie on the intersection of natural language processing, reinforcement learning and deep learning. Before coming to UCSB, I received my B.Sc. from Tsinghua University.
|[Feb 2018]||One paper gets accpeted by CVPR 2018! Check the preprint version [here].|
|[Feb 2018]||One paper gets accpeted by NAACL-HLT 2018! The preprint version will be released soon.|
|[Jan 2018]||I am a student co-chair in SoCal NLP 2018.|
|[Sep 2017]||I will attend Socalml 2017 and NIPS 2017. See you there!|
|[Sep 2017]||Start my exciting Ph.D. journey at UC Santa Barbara!|
Textual information is considered as an important supplement to knowledge representation learning (KRL). There are two main challenges for previous fusion methods: (1) How to take full advantages of the sequential context of entities in plain text. (2) How to dynamically select informative sentences of the corresponding entities. We propose the Sequential Text-embodied KRL to build knowledge representations with the help of multiple sentences.
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs (Under Review)
Stay tuned for more information :)
Copyright © Jiawei Wu 2015-2018