no code implementations • LREC 2012 • Ashwini Vaidya, Jinho D. Choi, Martha Palmer, Bhuvana Narasimhan
This paper examines both linguistic behavior and practical implication of empty argument insertion in the Hindi PropBank.
no code implementations • LREC 2016 • Maaz Anwar, Riyaz Ahmad Bhat, Dipti Sharma, Ashwini Vaidya, Martha Palmer, Tafseer Ahmed Khan
The present size of this Propbank is around 180, 000 tokens which is double-propbanked by the two annotators for simple predicates.
no code implementations • COLING 2016 • Ashwini Vaidya, Sumeet Agarwal, Martha Palmer
To build our system, we carry out a linguistic analysis of Hindi LVCs using Hindi Treebank annotations and propose two new features that are aimed at capturing the diversity of Hindi LVCs in the corpus.
no code implementations • COLING 2018 • Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, Veronika Vincze, Verginica Barbu Mititelu, Archna Bhatia, Maja Buljan, C, Marie ito, Polona Gantar, Voula Giouli, Tunga G{\"u}ng{\"o}r, Abdelati Hawwari, Uxoa I{\~n}urrieta, Jolanta Kovalevskait{\.e}, Simon Krek, Timm Lichte, Chaya Liebeskind, Johanna Monti, Carla Parra Escart{\'\i}n, Behrang Qasemizadeh, Renata Ramisch, Nathan Schneider, Ivelina Stoyanova, Ashwini Vaidya, Abigail Walsh
Corpora were created for 20 languages, which are also briefly discussed.
no code implementations • ICON 2019 • Richard Shallam, Ashwini Vaidya
We find that reaction times are predicted by frequency, morphological complexity and script complexity.
no code implementations • EACL (VarDial) 2021 • Kushagra Bhatia, Divyanshu Aggarwal, Ashwini Vaidya
In this paper we compare the performance of three models: SGNS (skip-gram negative sampling) and augmented versions of SVD (singular value decomposition) and PPMI (Positive Pointwise Mutual Information) on a word similarity task.
no code implementations • COLING (MWE) 2020 • Carlos Ramisch, Agata Savary, Bruno Guillaume, Jakub Waszczuk, Marie Candito, Ashwini Vaidya, Verginica Barbu Mititelu, Archna Bhatia, Uxoa Iñurrieta, Voula Giouli, Tunga Güngör, Menghan Jiang, Timm Lichte, Chaya Liebeskind, Johanna Monti, Renata Ramisch, Sara Stymne, Abigail Walsh, Hongzhi Xu
We present edition 1. 2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs).