ÆÈ·Î¿ì
Manik Bhandari
Manik Bhandari
cs.cmu.eduÀÇ À̸ÞÀÏ È®ÀεÊ
Á¦¸ñ
Àοë
Àοë
¿¬µµ
Re-evaluating evaluation in text summarization
M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig
arXiv preprint arXiv:2010.07100, 2020
902020
Incorporating syntactic and semantic information in word embeddings using graph convolutional networks
S Vashishth, M Bhandari, P Yadav, P Rai, C Bhattacharyya, P Talukdar
arXiv preprint arXiv:1809.04283, 2018
852018
Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
A Kumar, S Bhattamishra, M Bhandari, P Talukdar
Proceedings of the 2019 Conference of the North American Chapter of the ¡¦, 2019
842019
Confidence-based graph convolutional networks for semi-supervised learning
S Vashishth, P Yadav, M Bhandari, P Talukdar
The 22nd International Conference on Artificial Intelligence and Statistics ¡¦, 2019
362019
Metrics also disagree in the low scoring range: Revisiting summarization evaluation metrics
M Bhandari, P Gour, A Ashfaq, P Liu
arXiv preprint arXiv:2011.04096, 2020
92020
Unsupervised causal knowledge extraction from text using natural language inference (student abstract)
M Bhandari, M Feblowitz, O Hassanzadeh, K Srinivas, S Sohrabi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15759 ¡¦, 2021
62021
Graph convolutional networks based word embeddings
S Vashishth, P Yadav, M Bhandari, P Rai, C Bhattacharyya, P Talukdar
arXiv, 2018
62018
Causal Knowledge Identification and Extraction
M Bhandari, O Hassanzadeh, MD Feblowitz, K Srinivas, SS Araghi
US Patent App. 17/354,171, 2022
2022
Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract)
M Bhandari, M Feblowitz, O Hassanzadeh, K Srinivas, S Sohrabi
2021
Diverse Paraphrasing and its Effectiveness in Data Augmentation
A Kumar, S Bhattamishra, M Bhandari, P Talukdar
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–10