News

  • New workshop publications at LREC 2026

    We are pleased to inform you about the acceptance of papers at the Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) as well as the Workshop on Structured Linguistic Data and Evaluation (SLiDE), co-located with the Language Resources and Evaluation Conference (LREC 2026)

    TTLab at AraSentEval: SARF (صرف) Sentiment Analysis via Root-based Fusion for Multi-Dialectal Arabic
    Ali Abusaleh, Bhuvanesh Verma and Alexander Mehler. 2026. TTLab at AraSentEval: SARF (صرف) Sentiment Analysis via Root-based Fusion for Multi-Dialectal Arabic. Proceedings of the 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7), co-located with the Language Resources and Evaluation Conference (LREC 2026). accepted.
    BibTeX
    @inproceedings{Abusaleh:et:al:2026:sarf,
      title     = {TTLab at AraSentEval: SARF (صرف) Sentiment Analysis via Root-based
                   Fusion for Multi-Dialectal Arabic},
      author    = {Abusaleh, Ali and Verma, Bhuvanesh and Mehler, Alexander},
      booktitle = {Proceedings of the 7th Workshop on Open-Source Arabic Corpora
                   and Processing Tools (OSACT7), co-located with the Language Resources
                   and Evaluation Conference (LREC 2026)},
      eventdate = {May, 2026},
      location  = {Palma, Mallorca, Spain},
      year      = {2026},
      keywords  = {NLP, Sentiment Analysis, Arabic analysis, new-data-spaces, circlet, satek},
      abstract  = {Arabic sentiment analysis is challenged by morphological complexity
                   and lexical variation across Arabic dialects, compounded by subjectivity
                   in how speakers and writers express sentiment. In this paper,
                   we present our submission for the AraSentEval 2026 Shared Task
                   on Arabic Dialect Sentiment Analysis. We propose SARF (صرف) a
                   multi-view architectural framework that integrates surface-level
                   context with stemmed and rooted morphological perspectives using
                   a shared MARBERTv2 encoder. Our system employs a hybrid BERT-CNN-BiLSTM-Attention
                   architecture to capture both local sentiment n-grams and global
                   sequential dependencies. Experimental results show that while
                   individual morphological normalization strategies (stemming or
                   rooting) may degrade performance, their joint integration via
                   cross-morphological attention provides robust features across
                   diverse dialects. Our final system achieved a competitive macro-F1-score
                   of 0.9263, ranking 2nd out of 15 participating teams.},
      note      = {accepted}
    }
    Gutenberg+: A More Temporally Faithful Corpus for Diachronic NLP
    Leon Hammerla and ALexander Mehler. 2026. Gutenberg+: A More Temporally Faithful Corpus for Diachronic NLP. Proceedings Workshop on Structured Linguistic Data and Evaluation (SLiDE 2026), co-located with the Language Resources and Evaluation Conference (LREC 2026). accepted.
    BibTeX
    @inproceedings{Hammerla:Mehler:2026:a,
      title     = {{Gutenberg+}: A More Temporally Faithful Corpus for Diachronic {NLP}},
      author    = {Leon Hammerla and ALexander Mehler},
      booktitle = {Proceedings Workshop on Structured Linguistic Data and Evaluation
                   (SLiDE 2026), co-located with the Language Resources and Evaluation
                   Conference (LREC 2026)},
      address   = {Palma de Mallorca (Spain)},
      year      = {2026},
      keywords  = {neglab},
      note      = {accepted}
    }
  • Second phase for proposals: “New Data Spaces for the Social Sciences” (SPP 2431)

    We are pleased to announce that the call for proposals for the second funding period of the DFG Infrastructure Priority Programme “New Data Spaces for the Social Sciences” (SPP 2431) is now open. SPP 2431 promotes methodological innovations at the intersection of the social and computer sciences to future-proof panel studies and survey research through new methodological approaches.

    Key Deadlines:

    • April 10, 2026: Submit a one-page project sketch to the program management via email.
    • September 16, 2026: Final deadline for full proposals.

    Further Information: Details regarding funding priorities, the submission process, and an upcoming preparation workshop for applicants can be found here:

    We look forward to your contributions.


    Wir freuen uns, Ihnen mitteilen zu können, dass die Ausschreibung für die zweite Förderperiode des DFG-Infrastruktur-Schwerpunktprogramms „New Data Spaces for the Social Sciences“ (SPP 2431) ab sofort offen ist. Das SPP 2431 fördert methodische Innovationen an der Schnittstelle von Sozial- und Informatikwissenschaften, um Panelstudien und die Umfrageforschung durch neue methodische Ansätze zukunftssicher zu gestalten.

    Wichtige Fristen:

    • 10. April 2026: Einreichung einer einseitigen Projektskizze per E-Mail an die Geschäftsführung.
    • 16. September 2026: Frist für die Einreichung der vollständigen Projektanträge.

    Weitere Informationen: Details zu den Förderschwerpunkten, dem Einreichungsverfahren sowie einem geplanten Vorbereitungsworkshop für Antragstellende finden Sie hier:

    Wir freuen uns auf Ihre Beiträge.