In this work, we explore how to train task-specific language models aimed towards learning
rich representation of keyphrases from text documents. We experiment with different …

Transformer-based language models, including ChatGPT, have demonstrated exceptional
performance in various natural language generation tasks. However, there has been limited …

Keyphrases provide a concise representation of the topical content of a document and they
are helpful in various downstream tasks. Previous approaches for keyphrase extraction …

Identifying keyphrases (KPs) from text documents is a fundamental task in natural language
processing and information retrieval. Vast majority of the benchmark datasets for this task …

Keyphrases in a research paper succinctly capture the primary content of the paper and also
assist in indexing the paper at a concept level. Given the huge rate at which scientific papers …

As technology progresses, organisations must understand where to direct their value-
creating efforts to achieve or sustain competitive advantage. This is even more true in the …

Segmenting scientific abstracts into discourse categories like background, objective,
method, result, and conclusion is useful in many downstream tasks like search …

The task of keyphrase generation aims to generate the key phrases that capture the primary
content of a document. An external domain-specific gazetteer can assist in generating …

In pre-NDLI era, there were many isolated initiatives on digital education in the country,
including the growing number of institutional repositories with their disparate metadata …

Keyphrase extraction is the task of identifying a set of keyphrases present in a document that
captures its most salient topics. Scientific domain-specific pre-training has led to achieving …