4 citations · 9 across the 5 of their papers we have counts for
5 papers
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection
Michael Regan, Shira Wein, George Baker +1
Abstract Meaning Representation (AMR) is a semantic formalism that captures the core meaning of an utterance. There has been substantial work developing AMR corpora in English and…
Linear Cross-document Event Coreference Resolution with X-AMR
Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge +4
Event Coreference Resolution (ECR) as a pairwise mention classification task is expensive both for automated systems and manual annotations. The task's quadratic difficulty is exac…
How Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
Shafiuddin Rehan Ahmed, Abhijnan Nath, Michael Regan +3
Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency. To address this, we prop…
Causal schema induction for knowledge discovery
Michael Regan, Jena D. Hwang, Keisuke Sakaguchi +1
Making sense of familiar yet new situations typically involves making generalizations about causal schemas, stories that help humans reason about event sequences. Reasoning about e…
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
Michael Regan, Pushpendre Rastogi, Arpit Gupta +1
We present Contextual Query Rewrite (CQR) a dataset for multi-domain task-oriented spoken dialogue systems that is an extension of the Stanford dialog corpus (Eric et al., 2017a).…