1,721,074 research outputs found
sj-docx-1-pus-10.1177_09636625241229923 – Supplemental material for Who are the “Heroes of CRISPR”? Public science communication on Wikipedia and the challenge of micro-notability
No full textSupplemental material, sj-docx-1-pus-10.1177_09636625241229923 for Who are the “Heroes of CRISPR”? Public science communication on Wikipedia and the challenge of micro-notability by Arno Simons, Wolfgang Kircheis, Marion Schmidt, Martin Potthast and Benno Stein in Public Understanding of Science</p
Webis Health CauseNet 2022
No full textAn efficient assessment of the health relatedness of text passages is important to mine the web at scale to conduct health sociological analyses or to develop a health search engine. We propose a new efficient and effective termhood score for predicting the health relatedness of phrases and sentences, which achieves 69% recall at over 90% precision on a web dataset with cause–effect statements. It is more effective than state-of-the-art medical entity linkers and as effective but much faster than BERT-based approaches. Using our method, we compile the Webis Health CauseNet 2022, a new resource of 7.8 million health-related cause–effect statements such as “Studies show that stress induces insomnia” in which the cause (‘stress’) and effect (‘insomnia’) are labeled.
@InProceedings{schlatt2022health-causenet,
author = {Ferdinand Schlatt and
Dieter Bettin and
Matthias Hagen and
Benno Stein and
Martin Potthast},
booktitle = {29th International Conference on Computational Linguistics (COLING 2022)},
publisher = {Association for Computational Linguistics},
site = {Gyeongju, Republic of Korea},
title = {{Mining Health-related Cause-Effect Statements with High Precision at Large Scale}},
year = 2022
Manipulating Embeddings of Stable Diffusion Prompts
No full textSupplementary material of the paper Manipulating Embeddings of Stable Diffusion Prompts.
The paper can be found on arXiv: arXiv:2308.12059
Please cite as:
@Article{deckers:2023b,
author = {Niklas Deckers and Julia Peters and Martin Potthast},
title = {Manipulating Embeddings of Stable Diffusion Prompts},
journal = {CoRR},
volume = {abs/2308.12059},
url = {https://arxiv.org/abs/2308.12059},
month = aug,
year = 2023
Webis-MS-MARCO-Anchor-Texts-22
No full textThe Webis MS MARCO Anchor Text 2022 dataset enriches Version 1 and 2 of the document collection of MS MARCO with anchor text extracted from six Common Crawl snapshots. The six Common Crawl snapshots cover the years 2016 to 2021 (between 1.7-3.4 billion documents each). We sampled 1,000 anchor texts for documents with more than 1,000 anchor texts at random and all anchor texts for documents with less than 1,000 anchor texts (this sampling yields that all anchor text is included for 94% of the documents in Version 1 and 97% of documents for Version 2). Overall, the MS MARCO Anchor Text 2022 dataset enriches 1,703,834 documents for Version 1 and 4,821,244 documents for Version 2 with anchor text.
Cleaned versions of the MS MARCO Anchor Text 2022 dataset are available in ir_datasets, Zenodo and Hugging Face. The raw dataset with additional information and all metadata for the extracted anchor texts (roughly 100GB) is available on Hugging Face and files.webis.de.
The details of the construction of the Webis MS MARCO Anchor Text 2022 dataset are described in the associated paper. If you use this dataset, please cite
@InProceedings{froebe:2022a,
address = {Berlin Heidelberg New York},
author = {Maik Fr{\"o}be and Sebastian G{\"u}nther and Maximilian Probst and Martin Potthast and Matthias Hagen},
booktitle = {Advances in Information Retrieval. 44th European Conference on IR Research (ECIR 2022)},
editor = {Matthias Hagen and Suzan Verberne and Craig Macdonald and Christin Seifert and Krisztian Balog and Kjetil N{\o}rv\r{a}g and Vinay Setty},
month = apr,
publisher = {Springer},
series = {Lecture Notes in Computer Science},
site = {Stavanger, Norway},
title = {{The Power of Anchor Text in the Neural Retrieval Era}},
year = 2022
Automatic Translation and Wordplay: An Amateur’s (Playful) Thoughts
Full text linkWhile translating/adapting wordplay is certainly not, for the time being, within the reach of
machine translation (be it knowledge-based, statistical or neural), the same may hold true for
quite a few human translators as well. In my contribution, I invite readers to take part in a sort
of homemade Turing test, by asking them to uncover the translations of three open access MT
systems (DeepL, Google Translate, and Yandex), mixed with renderings of the same passages
made by human translators. Our corpus consists of English to French translations of some
excerpts taken from Lewis Carroll’s Alice’s Adventures in Wonderland
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
