3 |
Chinese Abstract Meaning Representation 2.0 ...
|
|
Xiao, Liming; Liu, Yihuan; Li, Bin; Wen, Yuan; Song, Li; Chun, Jayeol; Feng, Minxuan; Zhou, Junsheng; Qu, Weiguang; Xue, Nianwen. - : Linguistic Data Consortium, 2021
|
|
Abstract:
Introduction 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) ...
|
|
URL: https://catalog.ldc.upenn.edu/LDC2021T13 https://dx.doi.org/10.35111/x61v-0p46
|
|
BASE
|
|
Hide details
|
|
8 |
Addressing the Data Sparsity Issue in Neural AMR Parsing ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
GALE English-Chinese Parallel Aligned Treebank -- Training ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Two layers of annotation for representing event mentions in news stories
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
A convolution BiLSTM neural network model for Chinese event extraction
|
|
|
|
BASE
|
|
Show details
|
|
17 |
GALE Chinese-English Parallel Aligned Treebank -- Training ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|