2 Search Results for "Palmer, Bill"

Document
Research
DOI: 10.4230/TGDK.3.3.4
Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web

Authors: Florian Ruosch, Cristina Sarasua, and Abraham Bernstein

Published in: TGDK, Volume 3, Issue 3 (2025). Transactions on Graph Data and Knowledge, Volume 3, Issue 3

Abstract
In Argument Mining, predicting argumentative relations between texts (or spans) remains one of the most challenging aspects, even more so in the cross-document setting. This paper makes three key contributions to advance research in this domain. We first extend an existing dataset, the Sci-Arg corpus, by annotating it with explicit inter-document argumentative relations, thereby allowing arguments to be distributed over several documents forming an Argument Web; these new annotations are published using Semantic Web technologies (RDF, OWL). Second, we explore and evaluate three automated approaches for predicting these inter-document argumentative relations, establishing critical baselines on the new dataset. We find that a simple classifier based on discourse indicators with access to context outperforms neural methods. Third, we conduct a comparative analysis of these approaches for both intra- and inter-document settings, identifying statistically significant differences in results that indicate the necessity of distinguishing between these two scenarios. Our findings highlight significant challenges in this complex domain and open crucial avenues for future research on the Argument Web of Science, particularly for those interested in leveraging Semantic Web technologies and knowledge graphs to understand scholarly discourse. With this, we provide the first stepping stones in the form of a benchmark dataset, three baseline methods, and an initial analysis for a systematic exploration of this field relevant to the Web of Data and Science.
Cite as

Florian Ruosch, Cristina Sarasua, and Abraham Bernstein. Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web. In Transactions on Graph Data and Knowledge (TGDK), Volume 3, Issue 3, pp. 4:1-4:33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{ruosch_et_al:TGDK.3.3.4,
  author =	{Ruosch, Florian and Sarasua, Cristina and Bernstein, Abraham},
  title =	{{Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{4:1--4:33},
  ISSN =	{2942-7517},
  year =	{2025},
  volume =	{3},
  number =	{3},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.3.3.4},
  URN =		{urn:nbn:de:0030-drops-252159},
  doi =		{10.4230/TGDK.3.3.4},
  annote =	{Keywords: Argument Mining, Large Language Models, Knowledge Graphs, Link Prediction}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.53
Diversity in Spatial Language Within Communities: The Interplay of Culture, Language and Landscape in Representations of Space (Short Paper)

Authors: Bill Palmer, Alice Gaby, Jonathon Lum, and Jonathan Schlossberg

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Significant diversity exists in the way languages structure spatial reference, and this has been shown to correlate with diversity in non-linguistic spatial behaviour. However, most research in spatial language has focused on diversity between languages: on which spatial referential strategies are represented in the grammar, and to a lesser extent which of these strategies are preferred overall in a given language. However, comparing languages as a whole and treating each language as a single data point provides a very partial picture of linguistic spatial behaviour, failing to recognise the very significant diversity that exists within languages, a largely under-investigated but now emerging field of research. This paper focuses on language-internal diversity, and on the central role of a range of sociocultural and demographic factors that intervene in the relationship between humans, languages, and the physical environments in which communities live.
Cite as

Bill Palmer, Alice Gaby, Jonathon Lum, and Jonathan Schlossberg. Diversity in Spatial Language Within Communities: The Interplay of Culture, Language and Landscape in Representations of Space (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 53:1-53:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{palmer_et_al:LIPIcs.GISCIENCE.2018.53,
  author =	{Palmer, Bill and Gaby, Alice and Lum, Jonathon and Schlossberg, Jonathan},
  title =	{{Diversity in Spatial Language Within Communities: The Interplay of Culture, Language and Landscape in Representations of Space}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{53:1--53:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.53},
  URN =		{urn:nbn:de:0030-drops-93810},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.53},
  annote =	{Keywords: spatial language, Frame of Reference, landscape, sociotopography}
}
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