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Maria Skeppstedt
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2020 – today
- 2024
- [j10]Maria Skeppstedt
, Magnus Ahltorp
From word clouds to Word Rain: Revisiting the classic word cloud to visualize climate change texts. Inf. Vis. 23(3): 217-238 (2024) - 2023
- [j9]Manfred Stede
Framing climate change in Nature and Science editorials: applications of supervised and unsupervised text categorization. J. Comput. Soc. Sci. 6(2): 485-513 (2023) - 2022
- [c36]Kostiantyn Kucher, Nicole Sultanum
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper. BELIV 2022: 28-37 - [i1]Kostiantyn Kucher, Nicole Sultanum, Angel Daza, Vasiliki Simaki
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper. CoRR abs/2209.11534 (2022) - 2020
- [c35]Maria Skeppstedt, Magnus Ahltorp, Gunnar Eriksson, Rickard Domeij:
Line-a-line: A Tool for Annotating Word-Alignments. BUCC@LREC 2020: 1-5 - [c34]Maria Skeppstedt, Magnus Ahltorp, Gunnar Eriksson, Rickard Domeij:
A Pipeline for Manual Annotations of Risk Factor Mentions in the COVID-19 Open Research Dataset. CLARIN Annual Conference 2020: 214-225 - [c33]Maria Skeppstedt, Rickard Domeij, Fredrik Skott:
Snippets of Folk Legends: Adapting a Text Mining Tool to a Collection of Folk Legends. DHN Post-Proceedings 2020: 242-247 - [c32]Maria Skeppstedt, Rickard Domeij, Fredrik Skott:
Adapting a Topic Modelling Tool to the Task of Finding Recurring Themes in Folk Legends. DHN 2020: 388-392
2010 – 2019
- 2019
- [c31]Maria Skeppstedt, Magnus Ahltorp
Topic modelling applied to a second language: A language adaptation and tool evaluation study. CLARIN Annual Conference 2019: 145-156 - [c30]Maria Skeppstedt, Magnus Ahltorp, Gunnar Eriksson, Rickard Domeij:
Sketches of a graphical user interface for word alignment annotation. KONVENS 2019 - [c29]Maria Skeppstedt, Rafal Rzepka, Kenji Araki, Andreas Kerren:
Visualising and evaluating the effects of combining active learning with word embedding features. KONVENS 2019 - [c28]Maria Skeppstedt, Andreas Kerren, Manfred Stede:
Finding Reasons for Vaccination Hesitancy: Evaluating Semi-Automatic Coding of Internet Discussion Forums. MedInfo 2019: 348-352 - 2018
- [c27]Maria Skeppstedt, Andreas Peldszus, Manfred Stede:
More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing. ArgMining@EMNLP 2018: 155-163 - [c26]Henning Wachsmuth, Manfred Stede, Roxanne El Baff, Khalid Al Khatib, Maria Skeppstedt, Benno Stein:
Argumentation Synthesis following Rhetorical Strategies. COLING 2018: 3753-3765 - [c25]Maria Skeppstedt, Magnus Ahltorp:
Towards a Structured Evaluation of Improv-bots: Improvisational Theatre as a Non-goal-driven Dialogue System. LaCATODA@IJCAI 2018: 37-43 - [c24]Maria Skeppstedt, Andreas Kerren, Manfred Stede:
Vaccine Hesitancy in Discussion Forums: Computer-Assisted Argument Mining with Topic Models. MIE 2018: 366-370 - [c23]Maria Skeppstedt, Manfred Stede, Andreas Kerren:
Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts. SMM4H@EMNLP 2018: 5-8 - [c22]Kostiantyn Kucher, Maria Skeppstedt, Andreas Kerren:
Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts. VINCI 2018: 102-103 - [d1]Henning Wachsmuth
Arg-Microtexts Synthesis Benchmark. Zenodo, 2018 - 2017
- [c21]Maria Skeppstedt, Andreas Kerren, Manfred Stede:
Automatic detection of stance towards vaccination in online discussion forums. DDDSM@IJCNLP 2017: 1-8 - [c20]Maria Skeppstedt, Vasiliki Simaki
Detection of Stance and Sentiment Modifiers in Political Blogs. SPECOM 2017: 302-311 - 2016
- [j8]Magnus Ahltorp
Expansion of medical vocabularies using distributional semantics on Japanese patient blogs. J. Biomed. Semant. 7: 58 (2016) - [j7]Maria Skeppstedt, Carita Paradis, Andreas Kerren:
PAL, a tool for Pre-annotation and Active Learning. J. Lang. Technol. Comput. Linguistics 31(1): 81-100 (2016) - [c19]Maria Skeppstedt, Magnus Sahlgren, Carita Paradis
Unshared task: (Dis)agreement in online debates. ArgMining@ACL 2016 - [c18]Maria Skeppstedt, Magnus Sahlgren, Carita Paradis, Andreas Kerren:
Active learning for detection of stance components. PEOPLES@COLING 2016: 50-59 - [c17]Maria Skeppstedt, Carita Paradis, Andreas Kerren:
Marker Words for Negation and Speculation in Health Records and Consumer Reviews. SMBM 2016: 64-69 - 2015
- [j6]Sumithra Velupillai
Louhi 2014: Special issue on health text mining and information analysis. BMC Medical Informatics Decis. Mak. 15-S(S-2): S1 (2015) - [c16]Alyaa Alfalahi, Maria Skeppstedt, Rickard Ahlbom, Roza Baskalayci, Aron Henriksson, Lars Asker, Carita Paradis
Expanding a dictionary of marker words for uncertainty and negation using distributional semantics. Louhi@EMNLP 2015: 90-96 - [c15]Maria Skeppstedt, Teri Schamp-Bjerede, Magnus Sahlgren, Carita Paradis
Detecting speculations, contrasts and conditionals in consumer reviews. WASSA@EMNLP 2015: 162-168 - 2014
- [j5]Sumithra Velupillai
Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe. Artif. Intell. Medicine 61(3): 137-144 (2014) - [j4]Aron Henriksson, Hans Moen, Maria Skeppstedt, Vidas Daudaravicius, Martin Duneld:
Synonym extraction and abbreviation expansion with ensembles of semantic spaces. J. Biomed. Semant. 5: 6 (2014) - [j3]Maria Skeppstedt, Maria Kvist, Gunnar H. Nilsson, Hercules Dalianis:
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study. J. Biomed. Informatics 49: 148-158 (2014) - [c14]Emil Abrahamsson, Timothy Forni, Maria Skeppstedt, Maria Kvist:
Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language. PITR@EACL 2014: 57-65 - [c13]Maria Skeppstedt:
Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods. EACL 2014: 21-30 - [c12]Magnus Ahltorp, Hideyuki Tanushi, Shiho Kitajima, Maria Skeppstedt, Rafal Rzepka, Kenji Araki:
HokuMed in NTCIR-11 MedNLP-2: Automatic Extraction of Medical Complaints from Japanese Health Records Using Machine Learning and Rule-based Methods. NTCIR 2014 - [e1]Sumithra Velupillai, Martin Duneld, Maria Kvist, Hercules Dalianis, Maria Skeppstedt, Aron Henriksson:
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi@EACL 2014, Gothenburg, Sweden, April 27, 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-90-9 [contents] - 2013
- [c11]Maria Skeppstedt:
Annotating named entities in clinical text by combining pre-annotation and active learning. ACL (Student Research Workshop) 2013: 74-80 - [c10]Aron Henriksson, Maria Skeppstedt, Maria Kvist, Martin Duneld, Mike Conway:
Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. BioNLP@ACL 2013: 36-44 - [c9]Maria Skeppstedt:
Adapting a Parser to Clinical Text by Simple Pre-processing Rules. BioNLP@ACL 2013: 98-101 - [c8]Wendy Webber Chapman, Dieter Hillert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Mike Conway, Melissa Tharp, Danielle L. Mowery
Extending the NegEx Lexicon for Multiple Languages. MedInfo 2013: 677-681 - [c7]Magnus Ahltorp
Using Text Prediction for Facilitating Input and Improving Readability of Clinical Text. MedInfo 2013: 1149 - [c6]Hideyuki Tanushi, Hercules Dalianis, Martin Duneld, Maria Kvist, Maria Skeppstedt, Sumithra Velupillai:
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg. NODALIDA 2013: 387-397 - 2012
- [c5]Maria Skeppstedt, Maria Kvist, Hercules Dalianis:
Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text. LREC 2012: 1250-1257 - 2011
- [j2]Helen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai:
Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies. J. Biomed. Semant. 2(S-3): S1 (2011) - [j1]Maria Skeppstedt:
Negation detection in Swedish clinical text: An adaption of NegEx to Swedish. J. Biomed. Semant. 2(S-3): S3 (2011) - [c4]Ingemar Hjälmstad, Martin Duneld, Maria Skeppstedt:
The Impact of Part-of-Speech Filtering on Generation of a Swedish-Japanese Dictionary Using English as Pivot Language. NODALIDA 2011: 98-105 - 2010
- [c3]Hercules Dalianis, Maria Skeppstedt:
Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus. NeSp-NLP@ACL 2010: 5-13 - [c2]Maria Skeppstedt:
Negation Detection in Swedish Clinical Text. Louhi@NAACL-HLT 2010: 15-21 - [c1]Helen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai:
Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives. Louhi@NAACL-HLT 2010: 53-60
Coauthor Index
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last updated on 2024-09-21 02:35 CEST by the dblp team
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