---
_id: '54513'
abstract:
- lang: eng
  text: Learning argumentative writing is challenging. Besides writing fundamentals
    such as syntax and grammar, learners must select and arrange argument components
    meaningfully to create high-quality essays. To support argumentative writing computationally,
    one step is to mine the argumentative structure. When combined with automatic
    essay scoring, interactions of the argumentative structure and quality scores
    can be exploited for comprehensive writing support. Although studies have shown
    the usefulness of using information about the argumentative structure for essay
    scoring, no argument mining corpus with ground-truth essay quality annotations
    has been published yet. Moreover, none of the existing corpora contain essays
    written by school students specifically. To fill this research gap, we present
    a German corpus of 1,320 essays from school students of two age groups. Each essay
    has been manually annotated for argumentative structure and quality on multiple
    levels of granularity. We propose baseline approaches to argument mining and essay
    scoring, and we analyze interactions between both tasks, thereby laying the ground
    for quality-oriented argumentative writing support.
author:
- first_name: Maja
  full_name: Stahl, Maja
  last_name: Stahl
- first_name: Nadine
  full_name: Michel, Nadine
  id: '47857'
  last_name: Michel
- first_name: Sebastian
  full_name: Kilsbach, Sebastian
  last_name: Kilsbach
- first_name: 'Julian '
  full_name: 'Schmidtke, Julian '
  last_name: Schmidtke
- first_name: Sara
  full_name: Rezat, Sara
  last_name: Rezat
- first_name: Henning
  full_name: Wachsmuth, Henning
  last_name: Wachsmuth
citation:
  ama: 'Stahl M, Michel N, Kilsbach S, Schmidtke J, Rezat S, Wachsmuth H. A School
    Student Essay Corpus for Analyzing Interactions of Argumentative Structure and
    Quality. In: ; 2024. doi:<a href="https://doi.org/10.48550/arXiv.2404.02529">10.48550/arXiv.2404.02529</a>'
  apa: Stahl, M., Michel, N., Kilsbach, S., Schmidtke, J., Rezat, S., &#38; Wachsmuth,
    H. (2024). <i>A School Student Essay Corpus for Analyzing Interactions of Argumentative
    Structure and Quality</i>. <a href="https://doi.org/10.48550/arXiv.2404.02529">https://doi.org/10.48550/arXiv.2404.02529</a>
  bibtex: '@inproceedings{Stahl_Michel_Kilsbach_Schmidtke_Rezat_Wachsmuth_2024, title={A
    School Student Essay Corpus for Analyzing Interactions of Argumentative Structure
    and Quality}, DOI={<a href="https://doi.org/10.48550/arXiv.2404.02529">10.48550/arXiv.2404.02529</a>},
    author={Stahl, Maja and Michel, Nadine and Kilsbach, Sebastian and Schmidtke,
    Julian  and Rezat, Sara and Wachsmuth, Henning}, year={2024} }'
  chicago: Stahl, Maja, Nadine Michel, Sebastian Kilsbach, Julian  Schmidtke, Sara
    Rezat, and Henning Wachsmuth. “A School Student Essay Corpus for Analyzing Interactions
    of Argumentative Structure and Quality,” 2024. <a href="https://doi.org/10.48550/arXiv.2404.02529">https://doi.org/10.48550/arXiv.2404.02529</a>.
  ieee: 'M. Stahl, N. Michel, S. Kilsbach, J. Schmidtke, S. Rezat, and H. Wachsmuth,
    “A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure
    and Quality,” 2024, doi: <a href="https://doi.org/10.48550/arXiv.2404.02529">10.48550/arXiv.2404.02529</a>.'
  mla: Stahl, Maja, et al. <i>A School Student Essay Corpus for Analyzing Interactions
    of Argumentative Structure and Quality</i>. 2024, doi:<a href="https://doi.org/10.48550/arXiv.2404.02529">10.48550/arXiv.2404.02529</a>.
  short: 'M. Stahl, N. Michel, S. Kilsbach, J. Schmidtke, S. Rezat, H. Wachsmuth,
    in: 2024.'
date_created: 2024-05-29T12:11:43Z
date_updated: 2024-05-29T12:18:44Z
doi: 10.48550/arXiv.2404.02529
keyword:
- Annotation
- Corpus
- Argumentative Structure
language:
- iso: eng
status: public
title: A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure
  and Quality
type: conference
user_id: '47857'
year: '2024'
...
---
_id: '36522'
abstract:
- lang: eng
  text: "Jupyter notebooks enable developers to interleave code snippets with rich-text
    and in-line visualizations. Data scientists use Jupyter notebook as the de-facto
    standard for creating and sharing machine-learning based solutions, primarily
    written in Python. Recent studies have demonstrated, however, that a large portion
    of Jupyter notebooks available on public platforms are undocumented and lacks
    a narrative structure. This reduces the readability of these notebooks. To address
    this shortcoming, this paper presents HeaderGen, a novel tool-based approach that
    automatically annotates code cells with categorical markdown headers based on
    a taxonomy of machine-learning operations, and classifies and displays function
    calls according to this taxonomy. For this functionality to be realized, HeaderGen
    enhances an existing call graph analysis in PyCG. To improve precision, HeaderGen
    extends PyCG's analysis with support for handling external library code and flow-sensitivity.
    The former is realized by facilitating the resolution of function return-types.
    Furthermore, HeaderGen uses type information to perform pattern matching on code
    syntax to annotate code cells.\r\nThe evaluation on 15 real-world Jupyter notebooks
    from Kaggle shows that HeaderGen's underlying call graph analysis yields high
    accuracy (96.4% precision and 95.9% recall). This is because HeaderGen can resolve
    return-types of external libraries where existing type inference tools such as
    pytype (by Google), pyright (by Microsoft), and Jedi fall short. The header generation
    has a precision of 82.2% and a recall rate of 96.8% with regard to headers created
    manually by experts. In a user study, HeaderGen helps participants finish comprehension
    and navigation tasks faster. All participants clearly perceive HeaderGen as useful
    to their task."
author:
- first_name: Ashwin Prasad
  full_name: Shivarpatna Venkatesh, Ashwin Prasad
  id: '66637'
  last_name: Shivarpatna Venkatesh
- first_name: Jiawei
  full_name: Wang, Jiawei
  last_name: Wang
- first_name: Li
  full_name: Li, Li
  last_name: Li
- first_name: Eric
  full_name: Bodden, Eric
  id: '59256'
  last_name: Bodden
  orcid: 0000-0003-3470-3647
citation:
  ama: 'Shivarpatna Venkatesh AP, Wang J, Li L, Bodden E. Enhancing Comprehension
    and Navigation in Jupyter Notebooks with Static Analysis. In: IEEE SANER 2023
    (International Conference on Software Analysis, Evolution and Reengineering);
    2023. doi:<a href="https://doi.org/10.48550/ARXIV.2301.04419">10.48550/ARXIV.2301.04419</a>'
  apa: Shivarpatna Venkatesh, A. P., Wang, J., Li, L., &#38; Bodden, E. (2023). <i>Enhancing
    Comprehension and Navigation in Jupyter Notebooks with Static Analysis</i>. IEEE
    SANER 2023 (International Conference on Software Analysis, Evolution and Reengineering).
    <a href="https://doi.org/10.48550/ARXIV.2301.04419">https://doi.org/10.48550/ARXIV.2301.04419</a>
  bibtex: '@inproceedings{Shivarpatna Venkatesh_Wang_Li_Bodden_2023, title={Enhancing
    Comprehension and Navigation in Jupyter Notebooks with Static Analysis}, DOI={<a
    href="https://doi.org/10.48550/ARXIV.2301.04419">10.48550/ARXIV.2301.04419</a>},
    publisher={IEEE SANER 2023 (International Conference on Software Analysis, Evolution
    and Reengineering)}, author={Shivarpatna Venkatesh, Ashwin Prasad and Wang, Jiawei
    and Li, Li and Bodden, Eric}, year={2023} }'
  chicago: Shivarpatna Venkatesh, Ashwin Prasad, Jiawei Wang, Li Li, and Eric Bodden.
    “Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis.”
    IEEE SANER 2023 (International Conference on Software Analysis, Evolution and
    Reengineering), 2023. <a href="https://doi.org/10.48550/ARXIV.2301.04419">https://doi.org/10.48550/ARXIV.2301.04419</a>.
  ieee: 'A. P. Shivarpatna Venkatesh, J. Wang, L. Li, and E. Bodden, “Enhancing Comprehension
    and Navigation in Jupyter Notebooks with Static Analysis,” presented at the IEEE
    SANER 2023 (International Conference on Software Analysis, Evolution and Reengineering),
    2023, doi: <a href="https://doi.org/10.48550/ARXIV.2301.04419">10.48550/ARXIV.2301.04419</a>.'
  mla: Shivarpatna Venkatesh, Ashwin Prasad, et al. <i>Enhancing Comprehension and
    Navigation in Jupyter Notebooks with Static Analysis</i>. IEEE SANER 2023 (International
    Conference on Software Analysis, Evolution and Reengineering), 2023, doi:<a href="https://doi.org/10.48550/ARXIV.2301.04419">10.48550/ARXIV.2301.04419</a>.
  short: 'A.P. Shivarpatna Venkatesh, J. Wang, L. Li, E. Bodden, in: IEEE SANER 2023
    (International Conference on Software Analysis, Evolution and Reengineering),
    2023.'
conference:
  name: IEEE SANER 2023 (International Conference on Software Analysis, Evolution
    and Reengineering)
date_created: 2023-01-13T08:03:26Z
date_updated: 2025-04-07T10:18:03Z
ddc:
- '000'
doi: 10.48550/ARXIV.2301.04419
file:
- access_level: open_access
  content_type: application/pdf
  creator: ashwin
  date_created: 2023-01-26T10:48:40Z
  date_updated: 2023-01-26T10:48:40Z
  file_id: '40304'
  file_name: 2301.04419.pdf
  file_size: 1862440
  relation: main_file
file_date_updated: 2023-01-26T10:48:40Z
has_accepted_license: '1'
keyword:
- static analysis
- python
- code comprehension
- annotation
- literate programming
- jupyter notebook
language:
- iso: eng
oa: '1'
publisher: IEEE SANER 2023 (International Conference on Software Analysis, Evolution
  and Reengineering)
status: public
title: Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis
type: conference
user_id: '15249'
year: '2023'
...
---
_id: '2331'
abstract:
- lang: eng
  text: A user generally writes software requirements in ambiguous and incomplete
    form by using natural language; therefore, a software developer may have difficulty
    in clearly understanding what the meanings are. To solve this problem with automation,
    we propose a classifier for semantic annotation with manually pre-defined semantic
    categories. To improve our classifier, we carefully designed syntactic features
    extracted by constituency and dependency parsers. Even with a small dataset and
    a large number of classes, our proposed classifier records an accuracy of 0.75,
    which outperforms the previous model, REaCT.
article_type: original
author:
- first_name: 'Yeongsu '
  full_name: 'Kim, Yeongsu '
  last_name: Kim
- first_name: Seungwoo
  full_name: Lee, Seungwoo
  last_name: Lee
- first_name: Markus
  full_name: Dollmann, Markus
  id: '27578'
  last_name: Dollmann
- first_name: Michaela
  full_name: Geierhos, Michaela
  id: '42496'
  last_name: Geierhos
  orcid: 0000-0002-8180-5606
citation:
  ama: Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation
    of Software Requirements with Elaborate Syntactic Structure. <i>International
    Journal of Advanced Science and Technology</i>. 2018;112:123-136. doi:<a href="https://doi.org/10.14257/ijast.2018.112.12">10.14257/ijast.2018.112.12</a>
  apa: Kim, Y., Lee, S., Dollmann, M., &#38; Geierhos, M. (2018). Improving Classifiers
    for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.
    <i>International Journal of Advanced Science and Technology</i>, <i>112</i>, 123–136.
    <a href="https://doi.org/10.14257/ijast.2018.112.12">https://doi.org/10.14257/ijast.2018.112.12</a>
  bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for
    Semantic Annotation of Software Requirements with Elaborate Syntactic Structure},
    volume={112}, DOI={<a href="https://doi.org/10.14257/ijast.2018.112.12">10.14257/ijast.2018.112.12</a>},
    journal={International Journal of Advanced Science and Technology}, publisher={SERSC
    Australia}, author={Kim, Yeongsu  and Lee, Seungwoo and Dollmann, Markus and Geierhos,
    Michaela}, year={2018}, pages={123–136} }'
  chicago: 'Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving
    Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic
    Structure.” <i>International Journal of Advanced Science and Technology</i> 112
    (2018): 123–36. <a href="https://doi.org/10.14257/ijast.2018.112.12">https://doi.org/10.14257/ijast.2018.112.12</a>.'
  ieee: Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic
    Annotation of Software Requirements with Elaborate Syntactic Structure,” <i>International
    Journal of Advanced Science and Technology</i>, vol. 112, pp. 123–136, 2018.
  mla: Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software
    Requirements with Elaborate Syntactic Structure.” <i>International Journal of
    Advanced Science and Technology</i>, vol. 112, SERSC Australia, 2018, pp. 123–36,
    doi:<a href="https://doi.org/10.14257/ijast.2018.112.12">10.14257/ijast.2018.112.12</a>.
  short: Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced
    Science and Technology 112 (2018) 123–136.
date_created: 2018-04-13T09:19:22Z
date_updated: 2022-01-06T06:55:49Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.14257/ijast.2018.112.12
file:
- access_level: closed
  content_type: application/pdf
  creator: ups
  date_created: 2018-11-02T15:16:29Z
  date_updated: 2018-11-02T15:16:29Z
  file_id: '5297'
  file_name: 12.pdf
  file_size: 586968
  relation: main_file
  success: 1
file_date_updated: 2018-11-02T15:16:29Z
has_accepted_license: '1'
intvolume: '       112'
keyword:
- Software Engineering
- Natural Language Processing
- Semantic Annotation
- Machine Learning
- Feature Engineering
- Syntactic Structure
language:
- iso: eng
page: 123-136
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '9'
  name: SFB 901 - Subproject B1
publication: International Journal of Advanced Science and Technology
publication_identifier:
  eissn:
  - 2207-6360
  issn:
  - 2005-4238
publication_status: published
publisher: SERSC Australia
quality_controlled: '1'
status: public
title: Improving Classifiers for Semantic Annotation of Software Requirements with
  Elaborate Syntactic Structure
type: journal_article
user_id: '477'
volume: 112
year: '2018'
...
---
_id: '1098'
abstract:
- lang: eng
  text: An end user generally writes down software requirements in ambiguous expressions
    using natural language; hence, a software developer attuned to programming language
    finds it difficult to understand th meaning of the requirements. To solve this
    problem we define semantic categories for disambiguation and classify/annotate
    the requirement into the categories by using machine-learning models. We extensively
    use a language frame closely related to such categories for designing features
    to overcome the problem of insufficient training data compare to the large number
    of classes. Our proposed model obtained a micro-average F1-score of 0.75, outperforming
    the previous model, REaCT.
article_type: original
author:
- first_name: Yeong-Su
  full_name: Kim, Yeong-Su
  last_name: Kim
- first_name: 'Seung-Woo '
  full_name: 'Lee, Seung-Woo '
  last_name: Lee
- first_name: Markus
  full_name: Dollmann, Markus
  id: '27578'
  last_name: Dollmann
- first_name: Michaela
  full_name: Geierhos, Michaela
  id: '42496'
  last_name: Geierhos
  orcid: 0000-0002-8180-5606
citation:
  ama: Kim Y-S, Lee S-W, Dollmann M, Geierhos M. Semantic Annotation of Software Requirements
    with Language Frame. <i>International Journal of Software Engineering for Smart
    Device</i>. 2017;4(2):1-6.
  apa: Kim, Y.-S., Lee, S.-W., Dollmann, M., &#38; Geierhos, M. (2017). Semantic Annotation
    of Software Requirements with Language Frame. <i>International Journal of Software
    Engineering for Smart Device</i>, <i>4</i>(2), 1–6.
  bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2017, title={Semantic Annotation of
    Software Requirements with Language Frame}, volume={4}, number={2}, journal={International
    Journal of Software Engineering for Smart Device}, publisher={Global Vision School
    Publication}, author={Kim, Yeong-Su and Lee, Seung-Woo  and Dollmann, Markus and
    Geierhos, Michaela}, year={2017}, pages={1–6} }'
  chicago: 'Kim, Yeong-Su, Seung-Woo  Lee, Markus Dollmann, and Michaela Geierhos.
    “Semantic Annotation of Software Requirements with Language Frame.” <i>International
    Journal of Software Engineering for Smart Device</i> 4, no. 2 (2017): 1–6.'
  ieee: Y.-S. Kim, S.-W. Lee, M. Dollmann, and M. Geierhos, “Semantic Annotation of
    Software Requirements with Language Frame,” <i>International Journal of Software
    Engineering for Smart Device</i>, vol. 4, no. 2, pp. 1–6, 2017.
  mla: Kim, Yeong-Su, et al. “Semantic Annotation of Software Requirements with Language
    Frame.” <i>International Journal of Software Engineering for Smart Device</i>,
    vol. 4, no. 2, Global Vision School Publication, 2017, pp. 1–6.
  short: Y.-S. Kim, S.-W. Lee, M. Dollmann, M. Geierhos, International Journal of
    Software Engineering for Smart Device 4 (2017) 1–6.
date_created: 2018-01-25T15:23:15Z
date_updated: 2022-01-06T06:50:55Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
file:
- access_level: closed
  content_type: application/pdf
  creator: ups
  date_created: 2018-12-12T15:30:59Z
  date_updated: 2018-12-12T15:30:59Z
  file_id: '6196'
  file_name: Semantic_Annotation_of_Software_Requirements.pdf
  file_size: 244655
  relation: main_file
  success: 1
file_date_updated: 2018-12-12T15:30:59Z
has_accepted_license: '1'
intvolume: '         4'
issue: '2'
keyword:
- Natural Language Processing
- Semantic Annotation
- Machine Learning
language:
- iso: eng
page: 1-6
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '9'
  name: SFB 901 - Subproject B1
publication: International Journal of Software Engineering for Smart Device
publication_identifier:
  issn:
  - 2205-8494
publication_status: published
publisher: Global Vision School Publication
quality_controlled: '1'
status: public
title: Semantic Annotation of Software Requirements with Language Frame
type: journal_article
user_id: '477'
volume: 4
year: '2017'
...
---
_id: '1123'
abstract:
- lang: eng
  text: "Within this paper, we describe the special requirements of a semantic annotation
    scheme used for biographical event\r\nextraction in the framework of the Europeancollaborative
    research project Biographe. This annotationscheme supports interlingual search
    for people due to its multilingual support covering four languages such as English,
    German, French and Dutch."
author:
- first_name: Michaela
  full_name: Geierhos, Michaela
  id: '42496'
  last_name: Geierhos
  orcid: 0000-0002-8180-5606
- first_name: Jean-Leon
  full_name: Bouraoui, Jean-Leon
  last_name: Bouraoui
- first_name: Patrick
  full_name: Watrin, Patrick
  last_name: Watrin
citation:
  ama: 'Geierhos M, Bouraoui J-L, Watrin P. Towards Multilingual Biographical Event
    Extraction. In: Hedeland H, Schmidt T, Wörner K, eds. <i>Multilingual Resources,
    Multilingual Applications. Proceedings of the Conference of the German Society
    for Computational Linguistics and Language Technology (GSCL) 2011</i>. Vol 96.
    Arbeiten zur Mehrsprachigkeit - Folge B. Hamburg, Germany: University of Hamburg;
    2011:45-50.'
  apa: 'Geierhos, M., Bouraoui, J.-L., &#38; Watrin, P. (2011). Towards Multilingual
    Biographical Event Extraction. In H. Hedeland, T. Schmidt, &#38; K. Wörner (Eds.),
    <i>Multilingual Resources, Multilingual Applications. Proceedings of the Conference
    of the German Society for Computational Linguistics and Language Technology (GSCL)
    2011</i> (Vol. 96, pp. 45–50). Hamburg, Germany: University of Hamburg.'
  bibtex: '@inproceedings{Geierhos_Bouraoui_Watrin_2011, place={Hamburg, Germany},
    series={Arbeiten zur Mehrsprachigkeit - Folge B}, title={Towards Multilingual
    Biographical Event Extraction}, volume={96}, booktitle={Multilingual Resources,
    Multilingual Applications. Proceedings of the Conference of the German Society
    for Computational Linguistics and Language Technology (GSCL) 2011}, publisher={University
    of Hamburg}, author={Geierhos, Michaela and Bouraoui, Jean-Leon and Watrin, Patrick},
    editor={Hedeland, Hanna and Schmidt, Thomas and Wörner, KaiEditors}, year={2011},
    pages={45–50}, collection={Arbeiten zur Mehrsprachigkeit - Folge B} }'
  chicago: 'Geierhos, Michaela, Jean-Leon Bouraoui, and Patrick Watrin. “Towards Multilingual
    Biographical Event Extraction.” In <i>Multilingual Resources, Multilingual Applications.
    Proceedings of the Conference of the German Society for Computational Linguistics
    and Language Technology (GSCL) 2011</i>, edited by Hanna Hedeland, Thomas Schmidt,
    and Kai Wörner, 96:45–50. Arbeiten Zur Mehrsprachigkeit - Folge B. Hamburg, Germany:
    University of Hamburg, 2011.'
  ieee: M. Geierhos, J.-L. Bouraoui, and P. Watrin, “Towards Multilingual Biographical
    Event Extraction,” in <i>Multilingual Resources, Multilingual Applications. Proceedings
    of the Conference of the German Society for Computational Linguistics and Language
    Technology (GSCL) 2011</i>, Hamburg, Germany, 2011, vol. 96, pp. 45–50.
  mla: Geierhos, Michaela, et al. “Towards Multilingual Biographical Event Extraction.”
    <i>Multilingual Resources, Multilingual Applications. Proceedings of the Conference
    of the German Society for Computational Linguistics and Language Technology (GSCL)
    2011</i>, edited by Hanna Hedeland et al., vol. 96, University of Hamburg, 2011,
    pp. 45–50.
  short: 'M. Geierhos, J.-L. Bouraoui, P. Watrin, in: H. Hedeland, T. Schmidt, K.
    Wörner (Eds.), Multilingual Resources, Multilingual Applications. Proceedings
    of the Conference of the German Society for Computational Linguistics and Language
    Technology (GSCL) 2011, University of Hamburg, Hamburg, Germany, 2011, pp. 45–50.'
conference:
  end_date: 2011-09-30
  location: Hamburg, Germany
  name: Conference of the German Society for Computational Linguistics and Language
    Technology (GSCL 2011)
  start_date: 2011-09-28
date_created: 2018-01-29T16:06:38Z
date_updated: 2022-01-06T06:50:58Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
editor:
- first_name: Hanna
  full_name: Hedeland, Hanna
  last_name: Hedeland
- first_name: Thomas
  full_name: Schmidt, Thomas
  last_name: Schmidt
- first_name: Kai
  full_name: Wörner, Kai
  last_name: Wörner
extern: '1'
intvolume: '        96'
keyword:
- Biographical Event Extraction for Interlingual People Search
- Semantic Annotation Scheme
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://exmaralda.org/gscl2011/downloads/AZM96.pdf
oa: '1'
page: 45-50
place: Hamburg, Germany
publication: Multilingual Resources, Multilingual Applications. Proceedings of the
  Conference of the German Society for Computational Linguistics and Language Technology
  (GSCL) 2011
publication_identifier:
  issn:
  - 0176-599X
publication_status: published
publisher: University of Hamburg
quality_controlled: '1'
series_title: Arbeiten zur Mehrsprachigkeit - Folge B
status: public
title: Towards Multilingual Biographical Event Extraction
type: conference
user_id: '42496'
volume: 96
year: '2011'
...