Ahsaas Bajaj
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View article: Long Document Summarization in a Low Resource Setting using Pretrained\n Language Models
Long Document Summarization in a Low Resource Setting using Pretrained\n Language Models Open
ive summarization is the task of compressing a long document into a\ncoherent short document while retaining salient information. Modern abstractive\nsummarization methods are based on deep neural networks which often require\nlarge traini…
View article: Long Document Summarization in a Low Resource Setting using Pretrained Language Models
Long Document Summarization in a Low Resource Setting using Pretrained Language Models Open
ive summarization is the task of compressing a long document into a coherent short document while retaining salient information. Modern abstractive summarization methods are based on deep neural networks which often require large training …
View article: An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text Open
In specific domains, such as procedural scientific text, human labeled data for shallow semantic parsing is especially limited and expensive to create. Fortunately, such specific domains often use rather formulaic writing, such that the di…
View article: RelEmb: A relevance-based application embedding for Mobile App retrieval\n and categorization
RelEmb: A relevance-based application embedding for Mobile App retrieval\n and categorization Open
Information Retrieval Systems have revolutionized the organization and\nextraction of Information. In recent years, mobile applications (apps) have\nbecome primary tools of collecting and disseminating information. However,\nlimited resear…
View article: RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization
RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization Open
Information Retrieval Systems have revolutionized the organization and extraction of Information. In recent years, mobile applications (apps) have become primary tools of collecting and disseminating information. However, limited research …
View article: Entailment and Spectral Clustering based Single and Multiple Document Summarization
Entailment and Spectral Clustering based Single and Multiple Document Summarization Open
Text connectedness is an important feature for content selection in text summarization methods.Recently, Textual Entailment (TE) has been successfully employed to measure sentence connectedness in order to determine sentence salience in si…