FactBank: a corpus annotated with event factuality

By Roser Saurí, James Pustejovsky. Language Resources and Evaluation, 2009

328 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/333bd5c14bb5398d65e8410f0014b0e20d3bc363

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In Artificial Intelligence

Citations in the corpus

A Multi-Axis Annotation Scheme for Event Temporal Relations (2018, background): “Generally, an event is classiﬁed as Actual or Non-Actual , a.k.a. factuality (Saur´ı and Pustejovsky, 2009; Lee et al., 2015).”
Lexicosyntactic Inference in Neural Models (2018, methodology): “2 Following the multi-task training regime described by Rudinger et al. (2018), we train these models on four standard factuality datasets – Fact-Bank (Saur´ı and Pustejovsky, 2009, 2012), UW (Lee et al., 2015), MEANTIME (Minard et al., 2016), and UDS (White et al., 2016; Rudinger et al., 2018) –…”
Explainable Automated Fact-Checking: A Survey (2020, background): “The FactBank dataset (Saurı́ and Pustejovsky, 2009) defines the factuality for claims, which are all events in the dataset, as having two dimensions: polarity (i.”
Automatically Neutralizing Subjective Bias in Text (2019, methodology): “…properties with tasks like detecting framing or epistemological bias (Recasens, Danescu-Niculescu-Mizil, and Jurafsky 2013), or veridicality assessment/factuality prediction (Saur´ı and Pustejovsky 2009; Marneffe, Manning, and Potts 2012; Rudinger, White, and Van Durme 2018; White et al. 2018).”
Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads (2015, methodology): “This corresponds to the Modality feature of Sauŕı et al. [Sauŕı and Pustejovsky, 2009].”
Resource Interoperability for Sustainable Benchmarking: The Case of Events (2018, methodology): “In turn, data from TimeBank and AQUAINT TimeML was used to build FactBank 1.0 (Saur´ı and Pustejovsky, 2009), adding a representation of factuality interpretation to the event annotations, and the evaluation datasets of the Tem-pEval shared tasks, from which we selected the TempEval-3 dataset…”
Ordinal Common-sense Inference (2016, background): “…language is a continuous category, but speakers are able to map areas of this axis into discrete values (Lyons, 1977; Horn, 1989; de Haan, 1997) – Saur ´ ı and Pustejovsky (2009) According to Horn (1989), there are two scales of epistemic modality which differ in polarity (positive vs.…”
Linguistic Knowledge and Transferability of Contextual Representations (2019, unknown): “The event factuality (EF) task involves labeling phrases with the factuality of the events they describe (Saur´ı and Pustejovsky, 2009, 2012; de Marneffe et al., 2012).”
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability (2019, background): “Fact checking is the process of assessing the veracity of factual claims [45].”