Stefan Thater

Publications
Influence

Robust Disambiguation of Named Entities in Text

Johannes Hoffart, M. Yosef, +6 authors G. Weikum
Computer Science
EMNLP
27 July 2011

This paper presents a robust method for collective disambiguation, by harnessing context from knowledge bases and using a new form of coherence graph. Expand

Grounding Action Descriptions in Videos

Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, Stefan Thater, B. Schiele, Manfred Pinkal
Computer Science
Transactions of the Association for Computational…
31 March 2013

We present a general purpose corpus that aligns high quality videos with multiple natural language descriptions of the actions portrayed in the videos, together with an annotation of how similar the action descriptions are to each other. Expand

Contextualizing Semantic Representations Using Syntactically Enriched Vector Models

Stefan Thater, Hagen Fürstenau, Manfred Pinkal
Computer Science
ACL
11 July 2010

We present a syntactically enriched vector model that supports the computation of contextualized semantic representations in a quasi compositional fashion. Expand

Translating Video Content to Natural Language Descriptions

Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, B. Schiele
Computer Science
IEEE International Conference on Computer Vision
1 December 2013

We generate a rich semantic representation of the visual content including e.g. object and activity labels. Expand

SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge

Simon Ostermann, Michael Roth, Ashutosh Modi, Stefan Thater, Manfred Pinkal
Computer Science
SemEval@NAACL-HLT
1 June 2018

This report summarizes the results of the SemEval 2018 task on machine comprehension using commonsense knowledge. Expand

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

Simon Ostermann, Ashutosh Modi, Michael Roth, Stefan Thater, Manfred Pinkal
Computer Science
LREC
14 March 2018

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 knowledge. Expand

Word Meaning in Context: A Simple and Effective Vector Model

Stefan Thater, Hagen Fürstenau, Manfred Pinkal
Computer Science
IJCNLP
1 November 2011

We present a model that represents word meaning in context by vectors which are modified according to the words in the target's syntactic context, based on distributional information about the context words. Expand

What Substitutes Tell Us - Analysis of an "All-Words" Lexical Substitution Corpus

Gerhard Kremer, Katrin Erk, Sebastian Padó, Stefan Thater
Computer Science
EACL
2014

We present the first large-scale English “allwords lexical substitution” corpus, comparing them to WordNet synsets. Expand

Bridging the gap between underspecification formalisms: hole semantics as dominance constraints

Alexander Koller, Joachim Niehren, Stefan Thater
Computer Science, Mathematics
12 April 2003

We define a back-and-forth translation between Hole Semantics and dominance constraints, two formalisms used in underspecified semantics. Expand

Ranking Paraphrases in Context

Stefan Thater, Georgiana Dinu, Manfred Pinkal
Computer Science
TextInfer@ACL
6 August 2009

We present a vector space model that supports the computation of appropriate vector representations for words in context, and apply it to a paraphrase ranking task. Expand

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