1 code implementation • Findings (NAACL) 2022 • Senhui Zhang, Tao Ji, Wendi Ji, Xiaoling Wang
Event detection is a classic natural language processing task.
no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Adapting word order from one language to another is a key problem in cross-lingual structured prediction.
no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Transition systems usually contain various dynamic structures (e. g., stacks, buffers).
1 code implementation • 2 Dec 2021 • Chenxiao Liu, Guanzhi Deng, Tao Ji, Difei Tang, Silai Zheng
One challenge for evaluating current sequence- or dialogue-level chatbots, such as Empathetic Open-domain Conversation Models, is to determine whether the chatbot performs in an emotionally consistent way.
1 code implementation • 15 Mar 2021 • Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan
Previous CCG supertaggers usually predict categories using multi-class classification.
1 code implementation • ACL 2019 • Tao Ji, Yuanbin Wu, Man Lan
We investigate the problem of efficiently incorporating high-order features into neural graph-based dependency parsing.
Ranked #12 on
Dependency Parsing
on Penn Treebank
no code implementations • CONLL 2018 • Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu, Man Lan
We describe the graph-based dependency parser in our system (AntNLP) submitted to the CoNLL 2018 UD Shared Task.
no code implementations • CONLL 2017 • Tao Ji, Yuanbin Wu, Man Lan
We present a multilingual dependency parser with a bidirectional-LSTM (BiLSTM) feature extractor and a multi-layer perceptron (MLP) classifier.