clovaai/FocusSeq2Seq
[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)
This project helps researchers and developers who work with natural language processing by generating diverse and accurate text. It takes an input document or passage and produces multiple distinct summaries or relevant questions. This is ideal for those exploring varied linguistic interpretations or enhancing machine comprehension systems.
113 stars. No commits in the last 6 months.
Use this if you need to generate several different, yet accurate, summaries for a document or distinct questions from a text, moving beyond a single 'best' answer.
Not ideal if your primary goal is simple, single-best text generation without an emphasis on exploring diverse outputs.
Stars
113
Forks
19
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2021
Commits (30d)
0
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