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Subject:
From:
Adam Jatowt <[log in to unmask]>
Reply To:
Adam Jatowt <[log in to unmask]>
Date:
Fri, 25 Nov 2016 21:57:09 +0900
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NTCIR-13 Actionable Knowledge Graph (AKG) Task2nd Call For Task
Participation

The formal run of our first subtask, action mining (AM), will start on 1st
Jan 2017! Join us today at http://ntcir.nii.ac.jp/NTCIR13Regist/ (Due: Dec
15, 2016)

   - Dec 15, 2016: Task registration due for AM subtask
   - Jan 1, 2017: AM: Formal run topics release
   - Feb 1, 2017: AM: Formal run submissions due
   - Feb 15, 2017: AM: Formal run results release

=== Quick Links ====

   - Website http://ntcirakg.github.io/
   - Facebook https://www.facebook.com/ntcirakg/
   - Twitter https://twitter.com/ntcirakg
   - Discussion Group https://groups.google.com/d/forum/ntcir-akg-discussion

=== Overview ===

Knowledge graph (aka direct displays, cards, etc.) has become an
increasingly common and important component in search engine result pages
(SERPs). The objective of this new pilot task accepted to run at NTCIR-13
is to foster research on generating knowledge graphs that are optimised for
facilitating users' actions (buying, booking, downloading, comparing,
creating, etc.). To achieve this objective, we set two subtasks: Action
Mining (AM) subtask and Actionable Knowledge Graph Generation (AKGG)
subtask.
=== Tasks ===

In this pilot task, we set two subtasks to achieve and advance the
technologies related to actionable knowledge graph presentations that can
be used for search engines.
Action Mining Subtask (AM)

   - Input: Entity, Entity Type, and Wikipedia URL
   - Output: A ranked list of actions

For a given entity type (e.g., Place) and instance entity (e.g., "poland"),
participants will be asked to find potential actions that can be taken
(e.g., "visit poland", "buy a house in poland", "find weather in poland").
Participants are allowed to use any external resources (e.g., Action
section in schema.org) to return a ranked list of potential actions. Up to
100 actions should be submitted for each query (pair of entity and its
type). The format of each submitted action should contain verb and object
(called also the modifier of a verb), where the object's length is limited
to 50 characters. For example, in the above-mentioned case of "poland" as
the entity instance of the Place type, "buy a house in poland" would be an
action composed of a verb "buy" and object "a house in poland".
Participants are allowed to submit up to three actions that share the same
verb. Note that actions can sometimes lack objects (actions containing only
a verb), in which case, the object is actually considered NULL. For
example, for the entity "outlook express" of the type Product, "download"
is an example of correct action that does not require any explicit object
specified. This subtask can be seen as an open information extraction task,
and allows us to accumulate a comprehensive set of actions that are related
to a given entity type and entity instance. The returned actions will be
assessed by crowdsourcing to be scored from 1 to 5. Actions will be
evaluated not only based on their relevance but also based on diversity in
order to prevent submissions of many similar actions (e.g., actions where
verbs are synonyms or the objects have very similar meaning). For sample
data see: http://ntcirakg.github.io/tasks.html
Actionable Knowledge Graph Generation Subtask (AKGG)

   - Input: Query, Entity Type, Entity, and Action
   - Output: A ranked list of attributes of the type

For a given search query, entity included in that query, the type of the
entity, and action (e.g., "kyoto budget travel", "kyoto", location, "visit
a temple"), participants will be asked to rank entity properties based on
their relevance to the query. The query (input) can be ambiguous as in
realistic search queries, and participants need to return the ranked list
of relevant entity properties to create an actionable knowledge graph.
Actions in the test queries will be taken from the outcomes of the Action
Mining (AM) Subtask. Properties to be returned will be those defined as
attributes of the entity type in schema.org vocabulary.

Please note:

Task participants must submit a paper to the NTCIR-13 Conference
(unrefereed) and at least one member of each participating group must
attend the conference (December 5-8, 2017, NII, Tokyo, Japan) to present
their work.

Please visit task website for more information:http://ntcirakg.gi
thub.io/index.html
=== Important Dates ===

   - Dec 15, 2016 Task registration due for AM subtask
   - Jan 1, 2017 AM: Formal run topics release
   - Feb 1, 2017 AM: Formal run submissions due
   - Feb 15, 2017 AM: Formal run results release
   - Mar 15, 2017 AKGG: Dry run topics + training data release
   - Apr 15, 2017 AKGG: Dry run submissions due
   - May 15, 2017 AKGG: Dry run results release
   - Jun 1, 2017 Task registration due for AKGG subtask
   - Jun 15, 2017 AKGG: Formal run topics release
   - Jul 15, 2017 AKGG: Formal run submissions due
   - Sep 1, 2017 AKGG: Formal run results release, Partial Overview paper
   release
   - Oct 1, 2017 Partcipants paper due
   - Nov 1, 2017 Camera-ready due
   - Dec 5-8, 2017 NTCIR-13 Conference

=== Organisers ===

   - Roi Blanco (University of A Coruña, Spain)
   - Hideo Joho (University of Tsukuba, Japan)
   - Adam Jatowt (Kyoto University, Japan)
   - Haitao Yu (University of Tsukuba, Japan)
   - Shuhei Yamamoto (University of Tsukuba, Japan)

=== Contact ===

ntcir-akg at googlegroups.com
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