4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 4 cited
Subjective Bias in Abstractive Summarization
Lei Li, Wei Liu, Marina Litvak +4
Due to the subjectivity of the summarization, it is a good practice to have more than one gold summary for each training document. However, many modern large-scale abstractive summ…
cs.CL2020★ 1 cited
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks
Natalia Vanetik, Marina Litvak, Sergey Shevchuk +1
Automatic definition extraction from texts is an important task that has numerous applications in several natural language processing fields such as summarization, analysis of scie…
cs.CL2019
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
Lei Li, Wei Liu, Marina Litvak +2
Various Seq2Seq learning models designed for machine translation were applied for abstractive summarization task recently. Despite these models provide high ROUGE scores, they are…