Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling

By Mihai Surdeanu. 2013

111 citations recorded by the source corpus.

Subfields: Natural Language Processing, Evaluation & Benchmarks

How researchers see this paper

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

In Natural Language Processing

In Evaluation & Benchmarks

Citations in the corpus

KILT: a Benchmark for Knowledge Intensive Language Tasks (2020, background): “…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., 13https://www.wikidata.org 2018), TriviaQA-web (Joshi et al., 2017), QuasarT (Dhingra et…”
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them (2021, background): “Here, the goal is to mine facts from free text into structured or semi-structured forms, typically (subject, relation, object) triples for use in tasks such as slot-ﬁlling (Surdeanu, 2013).”
Differentiable Reasoning over a Virtual Knowledge Base (2020, background): “Existing slot-ﬁlling tasks (Levy et al., 2017; Surdeanu, 2013) focus on a single-hop , static corpus setting, whereas our task considers a dynamic setting which requires the system to traverse the corpus.”
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation (2018, methodology): “We investigate another dataset from TAC KBP Slot Filling (SF) shared task (Surdeanu, 2013), where we use the relation classification dataset by Adel et al.”
Leveraging Linguistic Structure For Open Domain Information Extraction (2015, methodology): “We show that our new system performs well on a real world evaluation – the TAC KBP Slot Filling challenge (Surdeanu, 2013).”
Language Models are Open Knowledge Graphs (2020, methodology): “Stanford OpenIE leverages POS tag and dependency parser, and generates self-contained clauses from long sentences to extract the triplets, which is the best open information extraction system (Angeli et al., 2015) on TAC KBP (Surdeanu, 2013).”
Stacked Ensembles of Information Extractors for Knowledge-Base Population (2015, methodology): “Knowledge Base Population (KBP) English Slot Filling (ESF) task (Surdeanu, 2013; Surdeanu and Ji, 2014).”
Stacking With Auxiliary Features (2016, methodology): “In 2015, the ESF task [15, 16] was replaced by the Cold Start Slot Filling (CSSF) task2 which requires filling specific slots of information for a given set of query entities based on a supplied text corpus.”
Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation (2014, methodology): “The slot filling task at TAC-KBP 2014 follows closely the 2013 definition (Surdeanu, 2013).”