225 citations · 460 across the 9 of their papers we have counts for
13 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…
Aligning Script Events with Narrative Texts
Simon Ostermann, Michael Roth, Stefan Thater +1
Script knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks. In this paper, we consider two recent datasets which provide a rich a…
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…
Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction
Ashutosh Modi, Ivan Titov, Vera Demberg +2
Recent research in psycholinguistics has provided increasing evidence that humans predict upcoming content. Prediction also affects perception and might be a key to robustness in h…
Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data
Marcus Rohrbach, Anna Rohrbach, Michaela Regneri +4
Activity recognition has shown impressive progress in recent years. However, the challenges of detecting fine-grained activities and understanding how they are combined into compos…
Coherent Multi-Sentence Video Description with Variable Level of Detail
Anna Senina, Marcus Rohrbach, Wei Qiu +5
Humans can easily describe what they see in a coherent way and at varying level of detail. However, existing approaches for automatic video description are mainly focused on single…
CLEARS - An Education and Research Tool for Computational Semantics
David Milward, Karsten Konrad, Holger Maier +1
The CLEARS (Computational Linguistics Education and Research for Semantics) tool provides a graphical interface allowing interactive construction of semantic representations in a v…
Compositional Semantics in Verbmobil
Johan Bos, Björn Gambäck, Christian Lieske +3
The paper discusses how compositional semantics is implemented in the Verbmobil speech-to-speech translation system using LUD, a description language for underspecified discourse r…
Comparative Ellipsis and Variable Binding
Jan Lerner, Manfred Pinkal
In this paper, we discuss the question whether phrasal comparatives should be given a direct interpretation, or require an analysis as elliptic constructions, and answer it with Ye…