NLPIR/ICTCLA2018 ACADEMIC SEMINAR 1st ISSUE
INTRO
In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Wednesdays, and each time a keynote speaker will share understanding of papers published in recent years with you.
This week’s seminar is organized as follows:
1. The seminar time is 1pm tomorrow, at the center building 1013
2. The lecturer is Zhang Xi, the paper’s title is A Neural Attention Model for Abstractive Sentence Summarization
3. Attachment is the paper of this seminar, please download in advance
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.
