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Two Huge Title and Keyword Generation Corpora of Research Articles
Recent developments in sequence-to-sequence learning with neural networks have considerably improved the quality of automatically generated text summaries and document keywords, stipulating the need for even bigger training corpora.
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study
Using data-driven models for solving text summarization or similar tasks has become very common in the last years.
Keyphrase Generation: A Text Summarization Struggle
Most of the proposed supervised and unsupervised methods for keyphrase generation are unable to produce terms that are valuable but do not appear in the text.
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