no code implementations • ACL (ECNLP) 2021 • Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan
We first build a cross-source heterogeneous knowledge graph from customer purchase history and product knowledge graph to jointly learn customer and product embeddings.
no code implementations • EMNLP 2020 • Manling Li, Qi Zeng, Ying Lin, Kyunghyun Cho, Heng Ji, Jonathan May, Nathanael Chambers, Clare Voss
Event schemas can guide our understanding and ability to make predictions with respect to what might happen next.
no code implementations • 26 Jul 2023 • Tanapol Kosolwattana, Huazheng Wang, Ying Lin
Adaptive monitoring of a large population of dynamic processes is critical for the timely detection of abnormal events under limited resources in many healthcare and engineering systems.
no code implementations • 29 May 2022 • YuXuan Li, Ying Lin, Chenang Liu
Investigating the causal relationships between characteristics and expressions plays a critical role in healthcare analytics.
no code implementations • 30 Aug 2021 • Zhishen Nie, Ying Lin, Sp Ren, Lan Zhang
Adversarial training has become the primary method to defend against adversarial samples.
1 code implementation • NAACL 2021 • Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, D{\'\i}dac Sur{\'\i}s, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).
no code implementations • 6 Apr 2021 • Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan
For example, with "add milk to my cart", a customer may refer to a certain organic product, while some customers may want to re-order products they regularly purchase.
no code implementations • 9 Dec 2020 • Junji Ma, Jinbo Zhang, Ying Lin, Zhengjia Dai
Using this algorithm, we generated a population of synthetic networks with optimal but diverse cost-efficiency trade-offs.
no code implementations • ACL 2020 • Ying Lin, Heng Ji, Fei Huang, Lingfei Wu
OneIE performs end-to-end IE in four stages: (1) Encoding a given sentence as contextualized word representations; (2) Identifying entity mentions and event triggers as nodes; (3) Computing label scores for all nodes and their pairwise links using local classifiers; (4) Searching for the globally optimal graph with a beam decoder.
no code implementations • ACL 2020 • Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski, Marjorie Freedman
We present the first comprehensive, open source multimedia knowledge extraction system that takes a massive stream of unstructured, heterogeneous multimedia data from various sources and languages as input, and creates a coherent, structured knowledge base, indexing entities, relations, and events, following a rich, fine-grained ontology.
no code implementations • NAACL 2021 • Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare Voss, Cynthia Schneider, Boyan Onyshkevych
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions.
no code implementations • IJCNLP 2019 • Ying Lin, Heng Ji
In addition, we propose a two-step mention-aware attention mechanism to enable the model to focus on important words in mentions and contexts.
1 code implementation • ACL 2019 • Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han
We design a set of word frequency-based reliability signals to indicate the quality of each word embedding.
no code implementations • NAACL 2019 • Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead, Clare Voss, Morteza Dehghani, Heng Ji
This paper demonstrates a state-of-the-art end-to-end multilingual (English, Russian, and Ukrainian) knowledge extraction system that can perform entity discovery and linking, relation extraction, event extraction, and coreference.
1 code implementation • NAACL 2019 • Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May
We also show extrinsically that incorporating our POS tagger into a name tagger leads to state-of-the-art tagging performance in Sinhalese and Kinyarwanda, two languages with nearly no labeled POS data available.
1 code implementation • ACL 2018 • Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji
We propose a multi-lingual multi-task architecture to develop supervised models with a minimal amount of labeled data for sequence labeling.
no code implementations • ACL 2018 • Ying Lin, Cash Costello, Boliang Zhang, Di Lu, Heng Ji, James Mayfield, Paul McNamee
We demonstrate two annotation platforms that allow an English speaker to annotate names for any language without knowing the language.
no code implementations • NAACL 2018 • Boliang Zhang, Ying Lin, Xiaoman Pan, Di Lu, Jonathan May, Kevin Knight, Heng Ji
We demonstrate ELISA-EDL, a state-of-the-art re-trainable system to extract entity mentions from low-resource languages, link them to external English knowledge bases, and visualize locations related to disaster topics on a world heatmap.
no code implementations • IJCNLP 2017 • Boliang Zhang, Di Lu, Xiaoman Pan, Ying Lin, Halidanmu Abudukelimu, Heng Ji, Kevin Knight
Current supervised name tagging approaches are inadequate for most low-resource languages due to the lack of annotated data and actionable linguistic knowledge.
no code implementations • 16 Sep 2017 • Ying Lin, Joe Hoover, Morteza Dehghani, Marlon Mooijman, Heng Ji
In this paper, we address the problem of detecting expressions of moral values in tweets using content analysis.
1 code implementation • IEEE Transactions on Cybernetics 2017 • Yong-Feng Ge, Wei-Jie Yu, Ying Lin, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-neng Chen, Jun Zhang et al.
In this way, the number of subpopulations is adaptively adjusted and better performing subpopulations obtain more individuals.
no code implementations • ACL 2017 • Ying Lin, Chin-Yew Lin, Heng Ji
Traditional Entity Linking (EL) technologies rely on rich structures and properties in the target knowledge base (KB).