no code implementations • WS 2019 • Lilian D. A. Wanzare, Michael Roth, Manfred Pinkal
We introduce the task of scenario detection, in which we identify references to scripts.
no code implementations • SEMEVAL 2019 • Simon Ostermann, Michael Roth, Manfred Pinkal
Half of the questions cannot be answered from the reading texts, but require the use of commonsense and, in particular, script knowledge.
no code implementations • EMNLP 2018 • Carina Silberer, Manfred Pinkal
We address the task of visual semantic role labeling (vSRL), the identification of the participants of a situation or event in a visual scene, and their labeling with their semantic relations to the event or situation.
no code implementations • SEMEVAL 2018 • Simon Ostermann, Michael Roth, Ashutosh Modi, Stefan Thater, Manfred Pinkal
This report summarizes the results of the SemEval 2018 task on machine comprehension using commonsense knowledge.
no code implementations • LREC 2018 • Simon Ostermann, Ashutosh Modi, Michael Roth, Stefan Thater, Manfred Pinkal
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.
no code implementations • SEMEVAL 2017 • Simon Ostermann, Michael Roth, Stefan Thater, Manfred Pinkal
Script knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks.
1 code implementation • IJCNLP 2017 • Dai Quoc Nguyen, Dat Quoc Nguyen, Cuong Xuan Chu, Stefan Thater, Manfred Pinkal
This paper presents an approach to the task of predicting an event description from a preceding sentence in a text.
no code implementations • SEMEVAL 2017 • Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi, Stefan Thater, Manfred Pinkal
Our model generalizes the previous works in that it allows to induce different weights of different senses of a word.
no code implementations • WS 2017 • Lilian Wanzare, Aless Zarcone, ra, Stefan Thater, Manfred Pinkal
We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by grouping event descriptions into paraphrase sets (representing event types) and inducing their temporal order.
no code implementations • LREC 2016 • Ashutosh Modi, Tatjana Anikina, Simon Ostermann, Manfred Pinkal
This paper presents the InScript corpus (Narrative Texts Instantiating Script structure).
no code implementations • TACL 2017 • Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, Manfred Pinkal
Recent research in psycholinguistics has provided increasing evidence that humans predict upcoming content.
no code implementations • LREC 2016 • Lilian D. A. Wanzare, Aless Zarcone, ra, Stefan Thater, Manfred Pinkal
Scripts are standardized event sequences describing typical everyday activities, which play an important role in the computational modeling of cognitive abilities (in particular for natural language processing).
no code implementations • LREC 2016 • Andrea Horbach, Andrea Hensler, Sabine Krome, Jakob Prange, Werner Scholze-Stubenrecht, Diana Steffen, Stefan Thater, Christian Wellner, Manfred Pinkal
We present an annotation study on a representative dataset of literal and idiomatic uses of German infinitive-verb compounds in newspaper and journal texts.
no code implementations • 23 Feb 2015 • Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele
To attack the second challenge, recognizing composite activities, we leverage the fact that these activities are compositional and that the essential components of the activities can be obtained from textual descriptions or scripts.
no code implementations • LREC 2014 • Michaela Regneri, Rui Wang, Manfred Pinkal
Paraphrases and paraphrasing algorithms have been found of great importance in various natural language processing tasks.
no code implementations • 24 Mar 2014 • Anna Senina, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele
Humans can easily describe what they see in a coherent way and at varying level of detail.
no code implementations • TACL 2013 • Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, Stefan Thater, Bernt Schiele, Manfred Pinkal
Recent work has shown that the integration of visual information into text-based models can substantially improve model predictions, but so far only visual information extracted from static images has been used.
no code implementations • 1 Jul 2011 • Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, Gerhard Weikum
Disambiguating named entities in naturallanguage text maps mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base such as DBpedia or YAGO.
Ranked #15 on Entity Linking on AIDA-CoNLL