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Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2018,6,30]]},"abstract":"<jats:p>Discourse parsing aims to identify structures and relationships between different discourse units. Most existing approaches analyze a whole discourse at once, which often fails in distinguishing long-span relations and properly representing discourse units. In this article, we propose a novel parsing model to analyze discourse in a two-step fashion with different feature representations to characterize intra sentence and inter sentence discourse structures, respectively. Our model works in a transition-based framework and benefits from a stack long short-term memory neural network model. Experiments on benchmark tree banks show that our method outperforms traditional 1-step parsing methods in both English and Chinese.<\/jats:p>","DOI":"10.1145\/3152537","type":"journal-article","created":{"date-parts":[[2018,1,12]],"date-time":"2018-01-12T13:49:50Z","timestamp":1515764990000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Improved Discourse Parsing with Two-Step Neural Transition-Based Model"],"prefix":"10.1145","volume":"17","author":[{"given":"Yanyan","family":"Jia","sequence":"first","affiliation":[{"name":"Peking University, Haidian, Beijing, China"}]},{"given":"Yansong","family":"Feng","sequence":"additional","affiliation":[{"name":"Peking University, Haidian, Beijing, China"}]},{"given":"Yuan","family":"Ye","sequence":"additional","affiliation":[{"name":"Peking University, Haidian, Beijing, China"}]},{"given":"Chao","family":"Lv","sequence":"additional","affiliation":[{"name":"Peking University, Haidian, Beijing, China"}]},{"given":"Chongde","family":"Shi","sequence":"additional","affiliation":[{"name":"Institute of Scientific and Technical Information of China, Haidian, Beijing, China"}]},{"given":"Dongyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Peking University, Haidian, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2018,1,11]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Miguel Ballesteros Chris Dyer and Noah A. 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