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cs.IR2018
Exploiting local and global performance of candidate systems for aggregation of summarization techniques
Parth Mehta, Prasenjit Majumder
With an ever growing number of extractive summarization techniques being proposed, there is less clarity then ever about how good each system is compared to the rest. Several studi…
cs.IR2018
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data
Parth Mehta, Gaurav Arora, Prasenjit Majumder
In this work, we present a weakly supervised sentence extraction technique for identifying important sentences in scientific papers that are worthy of inclusion in the abstract. We…
cs.IR2018
Content based Weighted Consensus Summarization
Parth Mehta, Prasenjit Majumder
Multi-document summarization has received a great deal of attention in the past couple of decades. Several approaches have been proposed, many of which perform equally well and it…