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Shanshan Xu

Technical University of Munich

11 papers hereh-index 5100 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author4
  • last author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL11
affiliations
  • Technical University of Munich
Homepage
same name
  • Shanshan Xu — 8 papers, h 15
  • Shanshan Xu — 3 papers, h 2
  • Shanshan Xu — 2 papers, h 2
  • Shanshan Xu — 1 paper, h 5
  • Shanshan Xu — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedExtractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance

4 citations · 7 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CL2022

Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers

Shanshan Xu, Irina Broda, Rashid Haddad +2

Recent work has demonstrated that natural language processing techniques can support consumer protection by automatically detecting unfair clauses in the Terms of Service (ToS) Agr…

cs.CL2022

Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts

T. Y. S. S Santosh, Shanshan Xu, Oana Ichim +1

This work demonstrates that Legal Judgement Prediction systems without expert-informed adjustments can be vulnerable to shallow, distracting surface signals that arise from corpus…

cs.CL2022★ 4 cited

Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance

Abhishek Agarwal, Shanshan Xu, Matthias Grabmair

Summarizing legal decisions requires the expertise of law practitioners, which is both time- and cost-intensive. This paper presents techniques for extractive summarization of lega…

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