Chinese Proposition Bank 1.0

Item Name: Chinese Proposition Bank 1.0
Author(s): Martha Palmer, Nianwen Xue, Zixin Jiang, Meiyu Chang
LDC Catalog No.: LDC2005T23
ISBN: 1-58563-354-2
ISLRN: 731-738-468-307-2
Release Date: September 20, 2005
Member Year(s): 2005
DCMI Type(s): Text
Data Source(s): newswire
Project(s): TIDES, GALE
Application(s): natural language processing
Language(s): Mandarin Chinese
Language ID(s): cmn
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2005T23 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Palmer, Martha, et al. Chinese Proposition Bank 1.0 LDC2005T23. Web Download. Philadelphia: Linguistic Data Consortium, 2005.
Related Works: View


Chinese Proposition Bank 1.0 was produced by Linguistic Data Consortium (LDC) catalog number LDC2005T23 and ISBN 1-58563-354-2.

Chinese Proposition Bank 1.0 is the first public release of the Penn Chinese Proposition Bank project, which aims to create a corpus of text annotated with information about basic semantic propositions. Specifically, predicate-argument relations have been added to the syntactic trees of the first update to Chinese Treebank 5.0 as an additional layer of annotation.


Chinese Proposition Bank 1.0 includes annotations for files chtb_001.fid to chtb_931.fid, or the first 250K words of the first update of Chinese Treebank 5.0. There is a total of 37,183 propositions. Auxiliary verbs are not annotated. Some verbs have light verb and non-light verbs uses and in these cases only the non-light verbs are annotated. All the annotations in this release are the result of double blind annotation followed by adjudication of differences.

The following table summarizes the framesets in CPB 1.0:

Total verbs framed 4,865
Total framesets 5,298
Verbs with multiple framesets 351
Average framesets per verb 1.09

Annotation Format

Each P-A structure is represented in a line of space separated columns. The columns are as follows ctb-filename sentence terminal tagger frameset inflection arglabel arglabel ... The content of each column is described in detail below. ctb-filename the name of the file in the Penn Chinese TreeBank 5.0 update 1 sentence the number of the sentence in the file (starting with 0) terminal the number of the terminal in the sentence that is the location of the verb. Note that the terminal number counts empty constituents as terminals and starts with 0. This will hold for all references to terminal number in this description. An example: (IP (NP-SBJ (DNP (NP (NN 货币)(NN 回笼))(DEG 的))(NP (NN 增加)))(PU ,) (VP (PP-BNF (P 为)(IP (NP-SBJ (-NONE- *PRO*))(VP (VV 平抑)(NP-OBJ (NP (DP (DT 全)) (NP (NN 区)))(NP (NN 物价))))))(VP (VV 发挥)(AS 了)(NP-OBJ (NN 作用)))) (PU 。)) The terminal numbers: 货币 0 回笼 1 的 2 增加 3 ,4 为 5 *PRO* 6 平抑 7 全 8 区 9 物价 10 发挥 11 了 12 作用 13 。14 tagger the name of the annotator, or "gold" if it's been double annotated and adjudicated. frameset The frameset identifier from the frames file of the verb. For example, '发挥.01' refers to the frameset ID "f1" in the frame file for the verb '发挥' (frames/0930-fa-hui.xml). The names of the frame files are composed of numerical id, plus the pinyin of the verb. The numerical ids can be found in the enclosed verb list (verbs.txt). inflection The inflection field is a carry-over from the Penn English Proposition Bank, and is set to '-----', meaning no annotation in the Chinese Proposition Bank. arglabel A string representing the annotation associated with a particular argument or adjunct of the proposition. Each arglabel is dash '-' delimited and has the following columns 1) column for the address of a constituent The address of the constituent are in one of the two forms. form 1: : A single node in the syntactic tree of the sentence in question, identified by the first terminal the node spans together with the height from that terminal to the syntax node (a height of 0 represents a terminal). For example, in the sentence (IP (NP-TPC (DP (DT 这些))(CP (WHNP-1 (-NONE- *OP*)) (CP (IP (NP-SBJ (-NONE- *T*-1)) (VP (ADVP (AD 已))(VP (VV 开业))))(DEC 的)))(NP (NN 外商)(NN 投资)(NN 企业))) (NP-ADV (NN 绝大部分))(NP-SBJ (NN 生产)(NN 经营)(NN 状况))(VP (ADVP (AD 较)) (VP (VA 好)))(PU 。)) the address of "1:3" represents the top IP node and "2:2" represents the CP node form 2: terminal number:height*terminal number:height*... A trace chain identifying coreference within sentence boundaries. For example in the sentence (IP (NP-TPC (DP (DT 这些))(CP (WHNP-1 (-NONE- *OP*)) (CP (IP (NP-SBJ (-NONE- *T*-1)) (VP (ADVP (AD 已))(VP (VV 开业))))(DEC 的)))(NP (NN 外商)(NN 投资)(NN 企业))) (NP-ADV (NN 绝大部分))(NP-SBJ (NN 生产)(NN 经营)(NN 状况))(VP (ADVP (AD 较)) (VP (VA 好)))(PU 。)) the address of of "2:0*1:0*6:1" represents the fact nodes '2:0' (-NONE- *T*-1), '1:0' (-NONE- *OP*) and '6:1' (NP (NN 外商)(NN 投资)(NN 企业)) are coreferential. form 3: terminal number:height,terminal number:height,... This represents a collection of different pieces of one argument. This form is rarely used in the annotation of the verbs, since most discontinuous constituents have well-defined relations between their components. Therefore the components of a discontinuous constituent are assigned the same label with a secondary tag representing their semantic relations. For example, if a constituent is marked as ARG0-CRD, it means that there is another constituent having the same label and together they fill the ARG0 role of the verb. 2) column for the 'label' The argument label one of {rel, ARGM} + { ARG0, ARG1, ARG2, ... }. The argument labels correspond to the argument labels in the frames files (see ./frames). ARGM for adjuncts of various sorts, and 'rel' refers to the surface string of the verb. 3) column for 'functional tag' (optional for numbered arguments; required for ARGM) Functional tags for "split" numbered arguments: PSR - possessor PSE - possessee CRD - coordinator PRD - predicate QTY - quantity Propositional tags for numbered arguments: AT, AS, INTO, TOWARDS, TO, ONTO Functional tags for ARGM: ADV - adverbial, default tag BNF - beneficiary CND - conditional DIR - directional DIS - discourse DGR - degree EXT - extent FRQ - frequency LOC - location MNR - manner NEG - negation PRP - purpose and reason TMP - temporal TPC - topic


For an example of this corpus, please examine this sample xml file.

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