no code implementations • EURALI (LREC) 2022 • Magnus Ahltorp, Jean Hessel, Gunnar Eriksson, Maria Skeppstedt, Rickard Domeij
The single search field of the web-based dictionary is used for incrementally searching all three components of the dictionary entries (the word in Swedish, the word in Yiddish with Hebrew characters and the transliteration in Latin script).
no code implementations • TERM (LREC) 2022 • Maria Skeppstedt, Marie Mattson, Magnus Ahltorp, Rickard Domeij
Rikstermbanken (Sweden’s National Term Bank), which was launched in 2009, uses the Nordic Terminological Record Format (NTRF) for organising its terminological data.
no code implementations • 23 Sep 2022 • Kostiantyn Kucher, Nicole Sultanum, Angel Daza, Vasiliki Simaki, Maria Skeppstedt, Barbara Plank, Jean-Daniel Fekete, Narges Mahyar
We identify four key groups of challenges for evaluating visual text analytics approaches (data ambiguity, experimental design, user trust, and "big picture" concerns) and provide suggestions for research opportunities from an interdisciplinary perspective.
no code implementations • LREC 2020 • Maria Skeppstedt, Magnus Ahltorp, Gunnar Eriksson, Rickard Domeij
We here describe line-a-line, a web-based tool for manual annotation of word-alignments in sentence-aligned parallel corpora.
no code implementations • WS 2018 • Maria Skeppstedt, Andreas Peldszus, Manfred Stede
We present an extension of an annotated corpus of short argumentative texts that had originally been built in a controlled text production experiment.
no code implementations • WS 2018 • Maria Skeppstedt, Manfred Stede, Andreas Kerren
The occurrence of stance-taking towards vaccination was measured in documents extracted by topic modelling from two different corpora, one discussion forum corpus and one tweet corpus.
no code implementations • COLING 2018 • Henning Wachsmuth, Manfred Stede, Roxanne El Baff, Khalid Al-Khatib, Maria Skeppstedt, Benno Stein
In this paper, we model rhetorical strategies for the computational synthesis of effective argumentation.
no code implementations • WS 2017 • Maria Skeppstedt, Andreas Kerren, Manfred Stede
A classifier for automatic detection of stance towards vaccination in online forums was trained and evaluated.
no code implementations • WS 2016 • Maria Skeppstedt, Magnus Sahlgren, Carita Paradis, Andreas Kerren
This larger variation was also shown by the lower recall results achieved by the lexicon-based approach for sentiment than for the categories speculation, contrast and condition.
no code implementations • LREC 2012 • Maria Skeppstedt, Maria Kvist, Hercules Dalianis
Named entity recognition of the clinical entities disorders, findings and body structures is needed for information extraction from unstructured text in health records.