vishwajeet kumar
vishwajeet kumar
Research Scientist, IBM Research AI
Verified email at - Homepage
Cited by
Cited by
Automating reading comprehension by generating question and answer pairs
V Kumar, K Boorla, Y Meena, G Ramakrishnan, YF Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 335-348, 2018
A framework for automatic question generation from text using deep reinforcement learning
V Kumar, G Ramakrishnan, YF Li
arXiv preprint arXiv:1808.04961, 2018
Cross-lingual training for automatic question generation
V Kumar, N Joshi, A Mukherjee, G Ramakrishnan, P Jyothi
arXiv preprint arXiv:1906.02525, 2019
Putting the horse before the cart: A generator-evaluator framework for question generation from text
V Kumar, G Ramakrishnan, YF Li
arXiv preprint arXiv:1808.04961, 2018
Towards semi-automatic generation of proposition banks for low-resource languages
A Akbik, V Kumar, Y Li
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Difficulty-controllable multi-hop question generation from knowledge graphs
V Kumar, Y Hua, G Ramakrishnan, G Qi, L Gao, YF Li
International Semantic Web Conference, 382-398, 2019
Neural Program Induction for KBQA Without Gold Programs or Query Annotations.
GA Ansari, A Saha, V Kumar, M Bhambhani, K Sankaranarayanan, ...
IJCAI, 4890-4896, 2019
Civique: using social media to detect urban emergencies
D Kanojia, V Kumar, K Ramamritham
arXiv preprint arXiv:1610.04377, 2016
Paraqg: A system for generating questions and answers from paragraphs
V Kumar, S Muneeswaran, G Ramakrishnan, YF Li
arXiv preprint arXiv:1909.01642, 2019
Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets
P Singh, A Kulkarni, H Ojha, V Kumar, G Ramakrishnan
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 290-303, 2016
A machine assisted human translation system for technical documents
V Kumar, A Kulkarni, P Singh, G Ramakrishnan, G Arnaal
Proceedings of the 8th International Conference on Knowledge Capture, 1-5, 2015
Question Generation from Paragraphs: A Tale of Two Hierarchical Models
V Kumar, R Chaki, ST Talluri, G Ramakrishnan, YF Li, G Haffari
arXiv preprint arXiv:1911.03407, 2019
Enriching Concept Search across Semantic Web Ontologies.
C Gavankar, V Kumar, YF Li, G Ramakrishnan
International Semantic Web Conference (Posters & Demos), 93-96, 2013
AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry
Y Katsis, SA Chemmengath, M Canim, M Glass, A Gliozzo, F Pan, J Sen, ...
Capturing Row and Column Semantics in Transformer Based Question Answering over Tables
M Glass, M Canim, A Gliozzo, S Chemmengath, V Kumar, R Chakravarti, ...
arXiv preprint arXiv:2104.08303, 2021
A Weakly Supervised Model for Solving Math word Problems
O Chatterjee, A Waikar, V Kumar, G Ramakrishnan, K Arya
arXiv preprint arXiv:2104.06722, 2021
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
A Jain, M Kothyari, V Kumar, P Jyothi, G Ramakrishnan, S Chakrabarti
arXiv preprint arXiv:2103.05568, 2021
Meta-Learning for Effective Multi-task and Multilingual Modelling
I Tarunesh, S Khyalia, V Kumar, G Ramakrishnan, P Jyothi
arXiv preprint arXiv:2101.10368, 2021
Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation
V Kumar, M Joshi, G Ramakrishnan, YF Li
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data
A Maheshwari, V Kumar, G Ramakrishnan, JS Nath
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
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