no code implementations • EMNLP 2020 • Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy
Our user studies confirm that the learned LEs are explainable and capture domain semantics.
no code implementations • NAACL 2021 • Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu
Contracts are arguably the most important type of business documents.
no code implementations • WS 2019 • Huaiyu Zhu, Yunyao Li, Laura Chiticariu
Natural language understanding at the semantic level and independent of language variations is of great practical value.
Abstract Meaning Representation Natural Language Understanding +1
no code implementations • NAACL 2018 • Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu
The rise of enterprise applications over unstructured and semi-structured documents poses new challenges to text understanding systems across multiple dimensions.
no code implementations • EMNLP 2017 • Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia, Anbang Xu
Crowdsourcing has proven to be an effective method for generating labeled data for a range of NLP tasks.
no code implementations • COLING 2016 • Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yonas Kbrom, Yunyao Li, Huaiyu Zhu
We present PolyglotIE, a web-based tool for developing extractors that perform Information Extraction (IE) over multilingual data.