Search Results for author: Maria Skeppstedt

Found 19 papers, 0 papers with code

A Digital Swedish-Yiddish/Yiddish-Swedish Dictionary: A Web-Based Dictionary that is also Available Offline

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).

Transliteration

Converting from the Nordic Terminological Record Format to the TBX Format

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.

An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper

no code implementations23 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.

Experimental Design Position

Line-a-line: A Tool for Annotating Word-Alignments

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.

Multilingual Word Embeddings Sentence +1

More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing

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.

Argument Mining

Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts

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.

Active learning for detection of stance components

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.

Active Learning Opinion Mining +2

Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text

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.

named-entity-recognition Named Entity Recognition +1

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