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<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
lang=EN-US>==============================================================================<BR>Call
for Participation<BR><BR>The 3nd Chinese Parsing Evaluation</SPAN><SPAN
style="FONT-FAMILY: ËÎÌå; mso-ascii-font-family: calibri; mso-hansi-font-family: calibri">£º</SPAN><SPAN
lang=EN-US>CIPS-SIGHAN-ParsEval-2012<BR></SPAN><SPAN
style="COLOR: black; mso-fareast-font-family: ΢ÈíÑźÚ; mso-bidi-font-family: calibri"
lang=EN-US><A href="http://202.118.18.77:8080/clp2012/index.html"><FONT
color=#0000ff>http://202.118.18.77:8080/clp2012/index.html</FONT></A></SPAN><SPAN
lang=EN-US><BR>==============================================================================<BR><BR>==
INTRODUCTION<BR><BR></SPAN><SPAN style="FONT-FAMILY: 'Times New Roman','serif'"
lang=EN-US>The first and second Chinese parsing evaluations (CIPS-ParsEval-2009
and CIPS-SIGHAN-ParsEval-2010) were held successfully in 2009 and 2010
respectively. The evaluation results in the Chinese clause and sentence levels
show that the complex sentence parsing is still a big challenge for the Chinese
language. This time we will focus on the sentence parsing task proposed by the
second CIPS-ParsEval to dig out the detailed difficulties of Chinese complex
sentence parsing in the respect of two typical sentence complexity schemes:
event combination in the sentence level and concept composition in the clausal
level. We will introduce a new lexicon-based Combinatory Categorical Grammar
(CCG)</SPAN><SUP><SPAN lang=EN-US> </SPAN></SUP><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>annotation scheme in
the evaluation, and make a parallel comparison of the parser performance with
the traditional Phrase Structure Grammar (PSG) used in the Tsinghua Chinese
Treebank (TCT).<o:p></o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN lang=EN-US><BR>== TASK
OVERVIEW<BR><BR></SPAN><SPAN style="FONT-FAMILY: 'Times New Roman','serif'"
lang=EN-US>This evaluation includes two sub-tasks, i.e. PSG parsing evaluation
and CCG parsing evaluation. For each sub-task, there are two tracks. One is the
Close track in which model parameter estimation is conducted solely on the train
data. The other is the Open track in which any datasets besides given training
data can be used to estimate model parameters. We will take separate evaluations
for these two tracks.<o:p></o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'"
lang=EN-US><o:p> </o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Sub task 1: <SPAN
style="mso-spacerun: yes"> </SPAN>PSG Parsing
Evaluation<o:p></o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US><SPAN
style="mso-tab-count: 1"> </SPAN>Input: A
Chinese sentence with correct word segmentation annotation.
<o:p></o:p></SPAN></P>
<P style="TEXT-INDENT: 21pt; MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Parsing goal: Assign
appropriate part-of-speech (POS) tags to the words and generate phrase structure
tree for the sentence.<o:p></o:p></SPAN></P>
<P style="TEXT-INDENT: 21pt; MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Output: The phrase
structure tree with POS tags for the sentence.<o:p></o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'"
lang=EN-US><o:p> </o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Sub task 2: <SPAN
style="mso-spacerun: yes"> </SPAN>CCG Parsing
Evaluation<o:p></o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US><SPAN
style="mso-tab-count: 1"> </SPAN>Input: A
Chinese sentence with correct word segmentation annotation.
<o:p></o:p></SPAN></P>
<P style="TEXT-INDENT: 21pt; MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Parsing goal: Assign
appropriate CCG category tags to the words and generate CCG derivation tree for
the sentence.<o:p></o:p></SPAN></P>
<P style="TEXT-INDENT: 21pt; MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Output: The CCG
derivation tree with CCG category tags for the sentence. <o:p></o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'"
lang=EN-US><o:p> </o:p></SPAN></P>
<P style="MARGIN: 0cm 0cm 0pt" class=MsoNormal><SPAN lang=EN-US><BR>== FOR MORE
DETAILS<BR><BR></SPAN><SPAN style="FONT-FAMILY: 'Times New Roman','serif'"
lang=EN-US>Please visit<SPAN style="mso-spacerun: yes"> </SPAN><A
href="http://202.118.18.77:8080/clp2012/task3.html"><FONT
color=#0000ff>http://202.118.18.77:8080/clp2012/task3.html</FONT></A><BR>A link
to the CIPS-SIGHAN-ParsEval-2012 task participants registration page is now
available from this page.<BR><BR>Please note that the registration deadline is
June 30, 2012 (for all CLP 2012 Bake-offs tasks)<BR></SPAN><SPAN
lang=EN-US><BR>== ORGANIZERS<BR><BR></SPAN><SPAN
style="FONT-FAMILY: 'Times New Roman','serif'" lang=EN-US>Qiang Zhou (CSLT,
RIIT, Tsinghua University)<BR><BR>If you have any questions, please send e-mails
to the task organizer: <A href="mailto:zq-lxd@mail.tsinghua.edu.cn"><FONT
color=#0000ff>zq-lxd@mail.tsinghua.edu.cn</FONT></A><o:p></o:p></SPAN></P></DIV></DIV></DIV></DIV></BODY></HTML>