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Finding enthymemes in real-world texts: A feasibility study
2017
Argument & Computation
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Enthymeme reconstruction, i.e. the task of reformulating arguments with missing propositions, is an exciting task at the borderline of text understanding and argument interpretation. However, there is some doubt in the community about the feasibility of this task due to the wide range of possible reformulations that are open to humans. We therefore believe that research on how to define an objective ground truth for these tasks is necessary before any work on the automatic reconstruction can
doi:10.3233/aac-170020
fatcat:o6ir5osglrfnpbbxxejgppz7ga
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... in. Here, we present a feasibility study for the task of finding and expanding enthymemes involving a fortiori arguments in realworld texts, and we show that given a sufficiently strict reformulation of the human annotation task, substantial agreement can be achieved. We split the task into three sub-tasks: 1. deciding whether a candidate text span really represents an enthymematic argument, 2. classifying the type of a fortiori argument concerned and 3. describing the missing premise in natural language. In a case study involving the two authors of this paper as annotators, we test a specific type of a fortiori arguments, the let alone construction, for its suitability for reaching high agreement in all three stages of the task. We also discuss pragmatic effects of let alone and how they relate to argumentation theory.
Open Targets Platform: supporting systematic drug–target identification and prioritisation
2020
Nucleic Acids Research
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The Open Targets Platform (https://www.targetvalidation.org/) provides users with a queryable knowledgebase and user interface to aid systematic target identification and prioritisation for drug discovery based upon underlying evidence. It is publicly available and the underlying code is open source. Since our last update two years ago, we have had 10 releases to maintain and continuously improve evidence for target–disease relationships from 20 different data sources. In addition, we have
doi:10.1093/nar/gkaa1027
pmid:33196847
fatcat:3qrm5q5turgulbvyj2kj6oy5c4
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... rated new evidence from key datasets, including prioritised targets identified from genome-wide CRISPR knockout screens in 300 cancer models (Project Score), and GWAS/UK BioBank statistical genetic analysis evidence from the Open Targets Genetics Portal. We have evolved our evidence scoring framework to improve target identification. To aid the prioritisation of targets and inform on the potential impact of modulating a given target, we have added evaluation of post-marketing adverse drug reactions and new curated information on target tractability and safety. We have also developed the user interface and backend technologies to improve performance and usability. In this article, we describe the latest enhancements to the Platform, to address the fundamental challenge that developing effective and safe drugs is difficult and expensive.
Debating Technologies (Dagstuhl Seminar 15512)
2016
Dagstuhl Reports
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work of my student Olesya Razuvayevskaya on linguistic enthymeme reconstruction. ...
Enthymeme Reconstruction Simone Teufel (University of Cambridge, GB)
License Creative Commons BY 3.0 Unported license © Simone Teufel Joint work of Olesya Razuvayevskaya; Simone Teufel I presented initial ...
doi:10.4230/dagrep.5.12.18
dblp:journals/dagstuhl-reports/GurevychHSS15
fatcat:ntrju72fynh4xnx5ew4j5qj5se
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models
2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
unpublished
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In Proceedings of the 2019 Con- Olesya Razuvayevskaya and Simone Teufel. 2017. ...
We demonstrate
that encoding discourse-aware commonsense and Šnajder, 2016; Razuvayevskaya and Teufel,
during fine-tuning improves the quality of the 2017), to our knowledge ...
doi:10.18653/v1/2021.emnlp-main.504
fatcat:nremsdtnsnak5m2eztggwebtbq
Dagstuhl Reports, Volume 5, Issue 12, December 2015, Complete Issue
[article]
2016
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
work of my student Olesya Razuvayevskaya on linguistic enthymeme reconstruction. ...
Enthymeme Reconstruction Simone Teufel (University of Cambridge, GB)
License Creative Commons BY 3.0 Unported license © Simone Teufel Joint work of Olesya Razuvayevskaya; Simone Teufel I presented initial ...
doi:10.4230/dagrep.5.12
fatcat:qpht63qmfne7rfremmrbliqtw4