activity
20162023
most citedMCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge

68 citations · 72 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL2023

A Computational Analysis of Vagueness in Revisions of Instructional Texts

Alok Debnath, Michael Roth

WikiHow is an open-domain repository of instructional articles for a variety of tasks, which can be revised by users. In this paper, we extract pairwise versions of an instruction…

cs.CL2023

SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts

Michael Roth, Talita Anthonio, Anna Sauer

We describe SemEval-2022 Task 7, a shared task on rating the plausibility of clarifications in instructional texts. The dataset for this task consists of manually clarified how-to…

cs.CL2019

Detecting Everyday Scenarios in Narrative Texts

Lilian D. A. Wanzare, Michael Roth, Manfred Pinkal

Script knowledge consists of detailed information on everyday activities. Such information is often taken for granted in text and needs to be inferred by readers. Therefore, script…

cs.CL2018★ 1 cited

Role Semantics for Better Models of Implicit Discourse Relations

Michael Roth

Predicting the structure of a discourse is challenging because relations between discourse segments are often implicit and thus hard to distinguish computationally. I extend previo…

cs.CL2018

Visually grounded cross-lingual keyword spotting in speech

Herman Kamper, Michael Roth

Recent work considered how images paired with speech can be used as supervision for building speech systems when transcriptions are not available. We ask whether visual grounding c…

cs.CL2018★ 68 cited

MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge

Simon Ostermann, Ashutosh Modi, Michael Roth +2

We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowl…