NTCIR Project
NTCIR-9 Crosslink
(Cross-lingual Link Discovery)
データ利用手続き (研究目的用)

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NTCIR-9 CROSSLINK(Cross-lingual Link Discovery)



NTCIR-9 Crosslink テストコレクションは、 英語文書から中国語・日本語・韓国語(CJK)文書に対する、以下のような言語横断リンクの発見(cross-lingual link discovery)に関する実験に使用することができます。

各サブタスク用に、英語文書は課題データとして配布します。それぞれの課題について、中国語・日本語・韓国語文書の中にある、期待されるアンカー(anchor)と、それに関する推奨リンクを特定する必要があります。


コレクション 文書データ タスクデータ
文書タイプ 言語 年度 文書数 課題 正解判定
言語 #
NTCIR-9
Crosslink

ウィキペディア 記事

中国語

2010

318,736 英語 訓練用 3 one set qrel (from Wikipedia ground-truth ) for training topics

日本語

2010

716,088
韓国語 2010 201,596 テスト用 25 two set of qrels (from Wikipedia ground-truth and manual assessment) for test-topics

NTCIR-9 Crosslink 文書データ(CJK XML Corpora)課題データは、 Creative Commons Attribution-Share-Alike License 3.0 (Unported) のライセンスに基づき提供されています。

詳細については、こちらのページをご覧ください。
http://warehouse.ntcir.nii.ac.jp/openaccess/crosslink/crosslink_documents.html

文書データ, 検索課題および適合判定

文書データ

NTCIR-9 Crosslink 文書データ はこちらから利用できます。
http://warehouse.ntcir.nii.ac.jp/openaccess/crosslink/crosslink_documents.html

The documents sets included in the NTCIR-9 CROSSLINK test collection are formed of search engine friendly xml files created from Wikipedia mysql database dumps taken on June 2010. The original article text containing unique Wikipedia mark-ups is converted into XML using the YAWN system [1]. The details of the collections are given in the following Table.

Language # doc Size Dump Date
Chinese 318736 2.7G 27/06/2010
Japanese 716,088 6.1G 24/06/2010
Korean 201596 1.2G 28/06/2010

Tags

Most tags are kept as the same as the tags in original Wikipedia XML dump.
Some important tags are given below:

Mandatory tags

<title>

</title>

The tag for document title

<id>

</id>

The tag "id" of first level is the document identifier

<link>

</link>

The tag for link including general link and language link.
Language link contains special attribute, e.g. "xlink:label="ko"". The language code : zh, ja, ko, en

<timestamp>

</timestamp>

Last update timestamp

<categories>

</categories>

including a list of sub-categories

Other tags

<p>

</p>

Paragraph marker

<sec>

</sec>

Section identifier. An article often includes multiple sections.

訓練用およびテスト用課題データ (Topics)はこちらから利用できます。
http://warehouse.ntcir.nii.ac.jp/openaccess/crosslink/crosslink_documents.html
*全課題データをまとめてダウンロードできます。 こちらをご覧ください。

Training and Test Topics
Training topics

# Title ID
1 Australia 4689264
2 Femme fatale 299098
3 Martial arts 19501

Only three topics are used for system training in the NTCIR 9 Crosslink task.

Test topics
A set of 25 articles will be randomly chosen from the English Wikipedia and
used as formal test topics.

Both training and test topics can be used to generate evaluation run for system benchmarking. Please note that these topics should be orphaned by removing all hyperlinks to and from these documents by participants. The corresponding topic pages in Chinese, Japanese and Korean should also be removed from document collections.

Form



<!ELEMENT crosslink-submission (details, description, collections, topic+)>
<!ATTLIST crosslink-submission participant-id CDATA #REQUIRED run-id CDATA #REQUIRED task (A2F| A2B) #REQUIRED default_lang (zh|ja|ko) ) #REQUIRED>
<!ELEMENT details (machine, time)>
<!ELEMENT machine (cpu, speed, cores, hyperthreads, memory)>
<!ELEMENT cpu (#PCDATA)>
<!ELEMENT speed (#PCDATA)>
<!ELEMENT cores (#PCDATA)> <!ELEMENT hyperthreads (#PCDATA)> <!ELEMENT memory (#PCDATA)> <!ELEMENT time (#PCDATA)> <!ELEMENT description (#PCDATA)> <!ELEMENT collections (collection+)> <!ELEMENT collection (#PCDATA)> <!ELEMENT topic (outgoing)>
<!ATTLIST topic file CDATA #REQUIRED name CDATA #REQUIRED >
<!ELEMENT outgoing (anchor+)>
<!ELEMENT anchor (tofile+)>
<!ATTLIST anchor name CDATA #REQUIRED offset CDATA #REQUIRED length CDATA #REQUIRED >
<!ELEMENT tofile (#PCDATA)>
<!ATTLIST tofile bep_offset CDATA #REQUIRED lang (zh|ja|ko)#REQUIRED title CDATA #REQUIRED >

The root element crosslink-submission should contain information about participant's ID, run ID (which should include your university affiliation), the task which should be either A2F or A2B and the default target language (zh, ja, or ko). The linking algorithm should be described in description node. The collections element contains a list of document collections used in the run. Generally, the collection element should contain text from one of the following: Chinese Wikipedia, Japanese Wikipedia or Korean Wikipedia. Each topic should be contained in a topic element which should contain an anchor element for each anchor-text that should be linked. Each anchor element should include offset, length and name attributes for detailed information of the recommended anchor, and should also have one or more tofile sub-elements with the target document ID contained within them. The tofile element should contain following information: language id, title and bep (specified in lang, title, and bep_offset attributes separately) of the linked document.



Example submission
<crosslink-submission participant-id="QUT"
   run-id="QUT_E2C_A2B_01"
   task="A2F"
   default_lang=”zh”>

   <details>
      <machine>
         <cpu>Intel Celeron</cpu>
         <speed>1.06GHz</speed>
         <cores>1</cores>

         <hyperthreads>1</hyperthreads>
         <memory>128MB</memory>
      </machine>
      <time>3.04 seconds</time>

   </details>
   <description>Describe the approach here, NOT in the run-id.</description>
   <collections>
      <collection>Chinese Wikipedia</collection>
   </collections>

   <topic file="9638" name=" 99 Luftballons">
<outgoing>
   <anchor offset="768" length="8" name="Balloons">
      <tofile bep_offset="637" lang=”zh”  title=”气球” >4424</tofile>
      <tofile bep_offset=“238343” lang=”zh”  title=”气球炸?” >442489</tofile>

      <tofile bep_offset=“23438” lang=”zh”  title=”气球男孩事件” >64424</tofile>
      <tofile bep_offset=“8997” lang=”zh”  title=”?气球之旅” >14424 </tofile>
      <tofile bep_offset=“334” lang=”zh”  title=”猫与气球” >43224</tofile>
   </anchor>

   ...
</outgoing>
   </topic>
</crosslink-submission>

For more details about the submission format, please visit this page.

Gold Standard (qrel, 適合判定データ)の入手方法こちらをご覧ください。


An example Gold Standard
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ltwResultsetType>
	<ltw_Topic name="Australia" id="4689264"> 
		<outgoingLinks>
			<outLink>131130</outLink>
			<outLink>108627</outLink>
			<outLink>7208</outLink>
			<outLink>292091</outLink>
			<outLink>1247664</outLink>
			<outLink>1213529</outLink>
...
<outLink>457369</outLink> <outLink>479260</outLink> </outgoingLinks> </ltw_Topic> </ltwResultsetType>

The toolkits for assessment and evaluation in the NTCIR-9 Crosslink task are available at:

http://code.google.com/p/crosslink/

 入手方法

NIIから配布するものはいずれも無料です。

参考書類 ---    お問い合わせ : ntc-secretariat

License


NTCIR-9 Crosslink CJK XML Corporaおよび課題データは、Creative Commons Attribution-Share-Alike License 3.0(Unported) のライセンスに基づき、利用および/または再配布が許諾されています。

ライセンスの詳細については、こちらをご覧ください。http://creativecommons.org/licenses/by-sa/3.0/.


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Updated on : 2015-07-24
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