no code implementations • EMNLP (LAW, DMR) 2021 • Ghazaleh Kazeminejad, Martha Palmer, Tao Li, Vivek Srikumar
Tracking entity states is a natural language processing task assumed to require human annotation.
1 code implementation • IWCS (ACL) 2021 • Kevin Stowe, Jenette Preciado, Kathryn Conger, Susan Windisch Brown, Ghazaleh Kazeminejad, James Gung, Martha Palmer
The SemLink resource provides mappings between a variety of lexical semantic ontologies, each with their strengths and weaknesses.
1 code implementation • NAACL (ACL) 2022 • Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji
We introduce RESIN-11, a new schema-guided event extraction&prediction framework that can be applied to a large variety of newsworthy scenarios.
1 code implementation • 24 May 2023 • Tao Li, Ghazaleh Kazeminejad, Susan W. Brown, Martha Palmer, Vivek Srikumar
In this paper, we eliminate such issue with a framework that jointly models VerbNet and PropBank labels as one sequence.
no code implementations • ACL 2021 • Piyush Mishra, Akanksha Malhotra, Susan Windisch Brown, Martha Palmer, Ghazaleh Kazeminejad
Much past work has focused on extracting information like events, entities, and relations from documents.
no code implementations • COLING 2018 • Sarah Moeller, Ghazaleh Kazeminejad, Andrew Cowell, Mans Hulden
We experiment with training an encoder-decoder neural model for mimicking the behavior of an existing hand-written finite-state morphological grammar for Arapaho verbs, a polysynthetic language with a highly complex verbal inflection system.
no code implementations • COLING 2018 • Ghazaleh Kazeminejad, Claire Bonial, Susan Windisch Brown, Martha Palmer
Commonsense, real-world knowledge about the events that entities or {``}things in the world{''} are typically involved in, as well as part-whole relationships, is valuable for allowing computational systems to draw everyday inferences about the world.