Abstractive Text Summarization.This method depends on semantic relations between the words and phrases. It resembles the way an individual analyzes a text and presents its short version in its own words. So, context is key. Extractive Text Summarization.Here, the summary relies on automatically weig...
AI Summarization Tools offer a new way to quickly extract essential insights from large volumes of text. Discover the best in this lineup.
Merge branch 'staging' into hlu/unilm_abstractive_summarization Feb 14, 2020 .gitignore Add text classification notebook with MTDNN on MNLI dataset Jun 29, 2020 .pre-commit-config.yaml Changed python version in pre-commit-config back to 3.6 ...
for neural abstractive summarization DUC-2004 Gigaword DUC-2004 ROUGE-1:32.28 ROUGE-2: 10.54 ROUGE-L:27.80 Gigaword ROUGE-1:36.30 ROUGE-2: 17.31 ROUGE-L:33.88 NOT YET AVAILABLE2017 Convolutional Sequence to Sequence DUC-2004 Gigaword
MiniLMText summarization is a language generation task of summarizing the input text into a shorter paragraph of text.English EntailmentBERT, XLNet, RoBERTaTextual entailment is the task of classifying the binary relation between two natural-language texts,textandhypothesis, to determine if thetextagrees...