Resource: Chinese Abstract Meaning Representation 2.0

Reference Chinese Abstract Meaning Representation 2.0
Date of Submission July 19, 2021, 5:13 p.m.
Status accepted
ISLRN 483-739-101-185-5
Resource Type Primary Text
Media Type Text
Language Mandarin Chinese
Format/MIME Type text/plain
Size 31459 KB
Access Medium Web Download


Chinese Abstract Meaning Representation (CAMR) 2.0 was developed by Brandeis University and Nanjing Normal University and is comprised of semantic representations of a set of approximately 20,000 Chinese sentences from Chinese Treebank (CTB) 8.0 (LDC2013T21). CAMR 2.0 includes the content of Chinese Abstract Meaning Representation 1.0 (LDC2019T07) (CTB 8.0 weblog and discussion forum sentences), plus an additional 9,933 sentences from the newswire portion of CTB 8.0.

Abstract Meaning Representation (AMR) captures "who is doing what to whom" in a sentence. Each sentence is paired with a graph that represents its whole-sentence meaning in a tree structure. LDC has released the following AMR English data sets: Abstract Meaning Representation (AMR) Annotation Release 1.0 (LDC2014T12), Abstract Meaning Representation (AMR) Annotation Release 2.0 (LDC2017T10) and Abstract Meaning Representation (AMR) Annotation Release 3.0 (LDC2020T02).

Chinese AMR is constructed following the basic principles developed for English: a compact, readable, whole-sentence semantic representation, while making adaptions where necessary to handle Chinese-specific phenomena. For more information about the project, see the Chinese AMR homepage.


The text contains 20,078 sentences from the weblog, discussion forum, and newswire portions of CTB 8.0. Three sets of files are included: the original Chinese AMR data with concept-to-word and relation-to-word alignments, a converted English AMR format, and a Chinese syntactic dependency tree format. Each set is divided into training, development and test sets, and all files are presented as plain text in UTF-8 encoding.

Version 1.0
Creator Nianwen Xue , Bin Li , Minxuan Feng , Yuan Wen , Li Song , Weiguang Qu , Liming Xiao , Yihuan Liu , Jayeol Chun , Junsheng Zhou
Distributor Linguistic Data Consortium
Rights Holder Portions © 2006 Agence France Presse, © 2006 Anhui TV, © 2005 Cable News Network, LP, LLLP, © 2000-2001 China Broadcasting System, © 2000-2001, 2005-2006 China Central TV, © 2000-2001 China National Radio, © 2006, © 2000-2001 China Television System, © 2006 Guangming Daily, © 2006 National Broadcasting Company, Inc. © 2006 New Tang Dynasty TV, © 2006 Peoples Daily Online, © 2005-2006 Phoenix TV, © 1996-2001 Sinorama Magazine, © 1997 The Government of the Hong Kong Special Administrative Region, © 1994-1998, 2006 Xinhua News Agency, © 2019, 2021 Bin Li, © 2001, 2004, 2005, 2007, 2009, 2010, 2013, 2019, 2021 Trustees of the University of Pennsylvania