Overview of the TAC 2010 Knowledge Base Population Track

By Heng Ji, Ralph Grishman, Hoa Trang Dang, Kira Griffitt, Joe Ellis. 2010

580 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

Citations in the corpus

KILT: a Benchmark for Knowledge Intensive Language Tasks (2020, background): “Although there exist several tasks and resources that define large-scale external knowledge sources—including the TAC-KBP challenges (McNamee and Dang, 2009; Ji et al., 2010; Surdeanu, 2013; Surdeanu and Ji, 2014), ARC (Clark et al.”
Position-aware Attention and Supervised Data Improve Slot Filling (2017, background): “The most widely-known effort to evaluate slot filling and KBP systems is the yearly TAC KBP slot filling tasks, starting from 2009 (McNamee and Dang, 2009).”
Zero-shot Entity Linking with Dense Entity Retrieval (2019, methodology): “TACKBP-2010 is widely used for evaluating entity linking systems Ji et al. (2010).”
Scalable Zero-shot Entity Linking with Dense Entity Retrieval (2019, background): “TACKBP-2010 is widely used for evaluating entity linking systems Ji et al. (2010).”
Automated Fact Checking: Task Formulations, Methods and Future Directions (2018, background): “Correctly identifying, disambiguating and grounding entities is the task of Named Entity Linking (McNamee and Dang, 2009).”
Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation (2018, background): “…known as Entity Linking or Entity Resolution, is a task where entity mentions in running text need to be linked to its entity entry in a Knowledge Base (KB), such as Wikidata, Wikipedia or other derived resources like DBpedia (Bunescu and Pasca, 2006; McNamee and Dang, 2009; Hoffart et al., 2011).”
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions (2015, background): “These public entity linking competitions provided some benchmark data sets [89], [100], [138], [139] to evaluate and compare different entity linking systems.”
Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling (2013, methodology): “We refer the reader interested in such an overall KBP architecture to the description in (Ji et al., 2011).”
The Seventh PASCAL Recognizing Textual Entailment Challenge (2011, methodology): “The goal of this task, based on the TAC KBP Slot Filling Task (McNamee and Dang, 2009) , is to show the potential utility of RTE systems for Knowledge Base Population, similar to the goals in the Summarization setting, thus representing another step towards the creation of a common framework in the ”
The Sixth PASCAL Recognizing Textual Entailment Challenge (2009, methodology): “standing, a new Knowledge Base Population (KBP) Validation Pilot was proposed, based on the TAC KBP Slot Filling Task (McNamee and Dang, 2009).”
Entity Linking: Finding Extracted Entities in a Knowledge Base (2013, methodology): “The TAC-KBP Entity Linking Task We summarize general approaches and results for the 2009 and 2010 TAC-KBP entity linking tasks.”
DBpedia: A Multilingual Cross-domain Knowledge Base (2012, methodology): “For example, the Entity Linking task at TAC-KBP 2011 (Ji et al., 2011) uses a target knowledge base that can be automatically mapped to DBpedia via Wikipedia links.”
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation (2016, methodology): “, 2011) and used as a fundamental component in numerous tasks, such as information extraction, knowledge base population (McNamee and Dang, 2009; Ji et al., 2010), and semantic search (Blanco et al.”
DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia (2015, methodology): “Many different methods have been developed to resolve this ambiguity with fairly high accuracy [21].”
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation (2019, methodology): “…WNED-CWEB (CWEB): These datasets are bigger and are built from the ClueWeb and Wikipedia corpora by (Guo and Barbosa, 2016; Gabrilovich et al., 2013) • TAC 2010 (Hoffart et al., 2011) and TAC 2010 (Ji et al., 2010): This dataset is very popular with the baselines for both local and global model.”
Entity Disambiguation for Knowledge Base Population (2010, methodology): “We evaluated our system on two datasets: the Text Analysis Conference (TAC) track on Knowledge Base Population (TAC-KBP) (McNamee and Dang, 2009) and the newswire data used by Cucerzan (2007) (Microsoft News Data).”