Zhang, Wei

homepage addr1 homepage addr2

I am a Wei Zhang, working on artificial neural networks and natural language processing at AI Foundations Lab in IBM Research. My interest is neural networks with external memory and/or attentions. I got my masters of language technologies from CMU LTI in 2014. Now I am also leading a small team at Watson working on machine reading comprehension.

Research Interests

  • End-to-end recurrent neural networks augmented with Memory and Attention
  • algorithm learning
  • Multi-task learning
  • reinfocement learning
  • Neural machine comprehension and Natural language inference and reasoning
  • Structured prediction

Some keywords generated from papers:

News:

2016-11-09: We are hiring 17 summer internship. Please contact me if you are interested in any of those topics above.

2016-11-03: Our paper on dynamic chunk reader for machine reading comprehension is publised on Arxiv

2016-10-25: We are giving a talk in Harvard NLP reading group on Nov. 21, 2016

2016-10-24: We are hiring!!! Please contact me if you are interested in any of those topics above.


Selected Publications

Zhang, Wei, Bowen Zhou. Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization. arxiv. preprint arXiv:1709.06493 (2017).

Zhang, Wei*, Yang Yu*, Kazi Hasan, Mo Yu, Bing Xiang, Bowen Zhou. Dynamic Chunk Reader for Machine Reading Comprehension arxiv. preprint: arXiv:1610.09996 (2016) (* equal contribution)

Zhang, Wei, Yang Yu, Bowen Zhou. Structured Memory for Neural Turing Machines Reasoning, Memory and Attention NIPS workshop. (2015) [slides]

Yu, Yang, Wei Zhang, Chung-Wei Hang, and Bowen Zhou. Empirical Study on Deep Learning Models for Question Answering. arXiv preprint arXiv:1510.07526 (2015).

Zhang, Wei, and Judith Gelernter. Geocoding location expressions in Twitter messages: A preference learning method. Journal of Spatial Information Science 2014, no. 9 (2014): 37-70.

Gelernter, Judith, and Wei Zhang. Cross-lingual geo-parsing for non-structured data. In Proceedings of the 7th Workshop on Geographic Information Retrieval, pp. 64-71. ACM, 2013.

Guo, Yuhang, Wanxiang Che, Yuxuan Hu, Wei Zhang, and Ting Liu. HIT-IR-WSD: A wsd system for english lexical sample task. In Proceedings of the ACL SemEval. (2007). (System won 1st place on SemEval 2007 Task 11)

See full list of publications here

Talks

"On Machine Reading Comprehension and Question Answering" [slides] at Harvard NLP Reading Group

"Structured Memory for Neural Turing Machines" [slides] on NIPS 2015 RAM workshop

Free Visitor Maps at VisitorMap.org