TAC-KBP 2014 Track
A TAC-KBP 2014 Track is a TAC KBP Track within TAC 2014.
- AKA: TAC 2014 Knowledge Base Population Track.
- Context:
- It can result in a TAC-KBP 2014 Task.
- It can result in a TAC-KBP 2014 Papers (presented at the TAC 2014 workshop).
- … TAC-2014 Entity Linking Track.
- Example(s):
- TAC-KBP 2014 Cold Start Track, for the TAC-KBP 2014 Cold Start task.
- TAC-KBP 2014 Entity Linking Track, for the TAC-KBP 2014 Entity Linking task.
- TAC-KBP 2014 Slot Filling Track, for the TAC-KBP 2014 Slot Filling task.
- TAC-KBP 2014 Slot Filler Validation Track, for the TAC-KBP 2014 Slot Filler Validation task.
- TAC-KBP 2014 Sentiment Track, for the TAC-KBP 2014 Sentiment task.
- TAC-KBP 2014 Event Track, for the TAC-KBP 2014 Event task.
- …
- Counter-Example(s):
- See: TAC Track, TAC Workshop.
References
2014
- http://www.nist.gov/tac/2014/KBP/
- QUOTE: The goal of TAC Knowledge Base Population (KBP) is to develop and evaluate technologies for building and populating knowledge bases (KBs) from unstructured text. KBP systems must ultimately build a KB from scratch, but must also be able to populate an existing reference KB that has incomplete or unknown provenance.
The task of Cold Start is to build a KB from scratch, using a predefined KB schema and a collection of unstructured text. The current KB schema consists of named entities that can be a person (PER), organization (ORG), or geopolitical entity (GPE); and predefined attributes (a.k.a " slots ") for those named entities.
Cold Start KBP can be decomposed into two complementary tasks: entity linking, in which entity mentions must be linked to entities in a reference KB or new entities discovered in the document collection; and slot filling, which involves finding predefined attributes about target entities in unstructured text. The reference KB for 2014 is based on a snapshot of English Wikipedia from October 2008 and is the same reference KB that has been used in TAC KBP since 2009. Each node in the reference KB corresponds to a Wikipedia page for a person, organization, or geopolitical entity and consists of predefined attributes derived from Wikipedia infoboxes. Unstructured text from the Wikipedia page is also available (as " wiki_text ") in the reference KB.
The event and sentiment tracks in KBP 2014 aim to extract information about events and sentiment from unstructured text, such that the information would be suitable as input into a structured KB.
Finally, the slot filler validation track focuses on the refinement of output from slot filling systems by either combining information from multiple slot filling systems, or applying more intensive linguistic processing to validate candidate slot fillers.
- QUOTE: The goal of TAC Knowledge Base Population (KBP) is to develop and evaluate technologies for building and populating knowledge bases (KBs) from unstructured text. KBP systems must ultimately build a KB from scratch, but must also be able to populate an existing reference KB that has incomplete or unknown provenance.
- "Task Description for English Slot Filling at TAC-‐KBP 2014, version 1.1." May 6th, 2014
- QUOTE: The main goal of the Knowledge Base Population (KBP) track at TAC 2014 is to promote research in and to evaluate the ability of automated systems to discover information about named entities and to incorporate this information in a knowledge source. For the evaluation an initial (or reference) knowledge base will be provided along with a source document collection from which systems are to learn. Attributes (a.k.a., “slots”) derived from Wikipedia infoboxes will be used to create the reference knowledge base. This document focuses only on the English Slot Filling (SF) task, which involves mining information about entities from text. Slot Filling can be viewed as more traditional Information Extraction, or alternatively, as a Question Answering (QA) task, where the questions are static but the targets change. For the other tasks part of KBP 2014, please visit the KBP web page: http://www.nist.gov/tac/2014/KBP/.