In our lab meeting this week, Lindsey presented a paper from Facebook team today. Here is the abstract of his talk:
Abstract: Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build. In this work, we propose a fully data-driven approach to abstractive sentence summarization. Our method utilizes a local attention-based model that generates each word of the summary conditioned on the input sentence. While the model is structurally simple, it can easily be trained end-to-end and scales to a large amount of training data. The model shows significant performance gains on the DUC-2004 shared task compared with several strong baselines.
The paper can be found here: https://arxiv.org/pdf/1509.00685.pdf
Wednesday, May 30th, 10-11 AM, Location: TASC1 9408.
