12 citations · 22 across the 3 of their papers we have counts for
7 papers
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…
MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants
Simon Ostermann, Michael Roth, Manfred Pinkal
We introduce MCScript2.0, a machine comprehension corpus for the end-to-end evaluation of script knowledge. MCScript2.0 contains approx. 20,000 questions on approx. 3,500 texts, cr…
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…
Sequence to Sequence Learning for Event Prediction
Dai Quoc Nguyen, Dat Quoc Nguyen, Cuong Xuan Chu +2
This paper presents an approach to the task of predicting an event description from a preceding sentence in a text. Our approach explores sequence-to-sequence learning using a bidi…
A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi +2
Word embeddings are now a standard technique for inducing meaning representations for words. For getting good representations, it is important to take into account different senses…
InScript: Narrative texts annotated with script information
Ashutosh Modi, Tatjana Anikina, Simon Ostermann +1
This paper presents the InScript corpus (Narrative Texts Instantiating Script structure). InScript is a corpus of 1,000 stories centered around 10 different scenarios. Verbs and no…