TAC-KBP Track

A TAC-KBP Track is a TAC track within a TAC-KBP Program (typically to research knowledge base population).

• AKA: TAC Knowledge Base Population Track.
• Context:
  • It can produce a TAC Task.
• Example(s):
  • a TAC-KBP 2009 Track.
  • a TAC-KBP 2010 Track.
  • a TAC-KBP 2011 Track.
  • a TAC-KBP 2012 Track.
  • a TAC-KBP 2013 Track.
  • a TAC-KBP 2014 Track, composed of ...
  • a TAC-KBP 2015 Track.
  • …
• Counter-Example(s):
  • a TAC Summarization Track.
  • a TAC RTE Task.
• See: TAC.

---

---

References

2011

• (Ji et al., 2011) ⇒ Heng Ji, and Ralph Grishman. (2011). “Knowledge Base Population: Successful Approaches and Challenges.” In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.
  • QUOTE: The main goal of KBP is to promote research in discovering facts about entities and augmenting a knowledge base (KB) with these facts. This is done through two tasks, Entity Linking -- linking names in context to entities in the KB -- and Slot Filling -- adding information about an entity to the KB.

2009

• http://apl.jhu.edu/~paulmac/kbp.html
  • In traditional IE it might be sufficient to learn that the actor Paul Newman was born in Cleveland, Ohio and was married to Joanne Woodward; however, KBP requires filling in birthplace and spouse slots for the appropriate node in the reference ontology. Furthermore, the goal would be to link the spouse field in the 'Paul Newman' node to another ontology node -- one for Joanne Woodward -- and not merely provide a textual fragment containing her name. The goal of updating an existing knowledge source will require synthesizing information from multiple documents and grounding entity mentions within the knowledge base. The problem can be formulated as a QA task -- slots can be filled in by asking questions, like "Where was Paul Newman born?"

---