Weiwei Gu

I am a second year PhD student advised by Prof. Nakul Gopalan at Arizona State University(ASU). My research interests lies at the intersection of Robotics, CV, and NLP. Previously, I did NLP research during my master at University of Rochester, advised by Prof. Aaron Steven White.

Selected Publications

Iterative Document-level Information Extraction via Imitation Learning

Yunmo Chen, William Gantt, Weiwei Gu, and 3 more authors

In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023

Abs

We present a novel iterative extraction model, IterX, for extracting complex relations, or templates, i.e., N-tuples representing a mapping from named slots to spans of text within a document. Documents may feature zero or more instances of a template of any given type, and the task of template extraction entails identifying the templates in a document and extracting each template’s slot values. Our imitation learning approach casts the problem as a Markov decision process (MDP), and relieves the need to use predefined template orders to train an extractor. It leads to state-of-the-art results on two established benchmarks – 4-ary relation extraction on SciREX and template extraction on MUC-4 – as well as a strong baseline on the new BETTER Granular task.
An Empirical Study on Finding Spans

Weiwei Gu, Boyuan Zheng, Yunmo Chen, and 2 more authors

In Conference on Empirical Methods in Natural Language Processing, May 2022