PROF. DR. ANETTE FRANK
Contact
| +49 6221 54-3247 | |
| Email (click to copy) | |
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Institut für Computerlinguistik Im Neuenheimer Feld 325 D-69120 Heidelberg Germany |
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| Please send email for appointments |
Research Statement
My research focuses on discourse-oriented semantics using neural methods for advanced NLU tasks, such as reading comprehension, commonsense reasoning or argumentation analysis.
I am especially interested in combining neural machine learning methods with linguistic modeling and knowledge representation, which I believe will make NLP systems more powerful and robust, and deeper in modeling Natural Language Understanding.
The NLP group's work covers many themes in semantics-based NLP, including semantic role labeling, coreference, discourse relation parsing, natural language and commonsense inference as well as phenomena involving implicitness in language and commonsense NLU.
To make automatic Natural Language Understanding succeed, language needs to be situated in real-world contexts. We hence investigate multimodal language processing and how this can help in achieving situated language understanding.
NLP Group pages: my Team, Projects & Publications!
and the the web pages of ICL, the Institute of Computational Linguistics at Heidelberg University
NEWS
We celebrate the PhD thesis defense of Letitia Parcalabescu!
She successfully defended her thesis on Measuring the Contributions of Vision and Text Modalities in Multimodal Transformers.
Congratulations for this outstanding thesis, Letitia, and best of luck for your ongoing journey! Jun24 This weekend I attended a celebration to the honour of Hans Kamp,
my doctoral father,
who has been awarded the Rolf Schock Prize 2024 in Logic and Philosophy— jointly with Irene Heim — “for (mutually independent) conception and early development of dynamic semantics for natural language”.It was a very special honour for me to talk on this occasion, sharing memories of the times I was instructed on his theory first-hands during my studies, then being supervised by him in my PhD studies, and reflecting on the influence that his theory of dynamic semantics has had at the time, and still has in times of neural networks and large language models, by deeply shaping our perspective on semantics in a deep and lasting way. A big thank you to Hans Kamp
-- for shaping our perspective and understanding of semantics, by inventing DRT! Jun24 Moritz Plenz and Philipp Heinisch presented our work recent work on PACT in the 1st Int. Conference on Robust Argumentation Machines (RATIO), organized by the SPP RATIO in Bielefeld, with:
- Great invited speakers: Elena Cabrio, Yufang Hou and Henning Wachsmuth
- A panel discussion on
- how LLMs will impact our work and perspectives on the research on Compuational Argumentation
- what are fundamental assumptions in research on Computational Argumentation that need to be revisited
- what are the societal implications of argumentation technology in our rapidly changing society.
Letitia Parcalabescu and Anette Frank: On Measuring Faithfulness or Self-consistency of Natural Language Explanations, and
Moritz Plenz and Anette Frank: Graph Language Models. Congratulations to both!
Jun24 ACCEPT will present our most recent work in the 1st International Conference on Recent Advances in Robust Argumentation Machines RATIO-24: PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis. Looking forward to a lively conference!
May24 In a collaboration across the Universities of Koç, Hacettepe, Heidelberg & Pisa, Amsterdam, Utrecht & Malta we established VILMA, a new benchmark that measures how well video-language models can process spatio-temporal events: VILMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models was presented at ICLR 2024. Find here a quick overview.
Apr&May24 Two papers accepted by Xiyan Fu on Compositional Generalization:
Exploring Continual Learning of Compositional Generalization in NLI was accepted for TACL and will be presented at ACL 2024 in Bangkok.
Compositional Structured Explanation Generation with Dynamic Modularized Reasoning will be presented at *SEM 2024 at NAACL.
Congratulations, Xiyan!
Mar24 Frederick Riemenschneider and Kevin Krahn won the SIGTYP 2024 constrained Shared Task on Word Embedding Evaluation for Ancient and Historical Languages. with Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers. Congratulations!
Most notably, we celebrated the PhD graduation of Dr. Juri Opitz,
who defended his inspiring thesis on rich facets and shades of measuring the similarity of graph-structured meaning representations!
Congratulations, and best of luck at the University of Zurich!
Nov 22 Juri Opitz presents Semantically Structured Sentence (S3BERT) embeddings 
at AACL 2022. S3BERT enables highly efficient and explainable sentence similarity predictions, through fine-grained meaning aspects encoded in sub-symbolic subspaces.
Oct 22 I organized a Workshop on Inference and Summarization in Argumentation in the RATIO Symposium 2022.
Aug 22 ACCEPT organized a Shared Task on Predicting Validity and Novelty of arguments. Our report will be presented in the ArgMining Workshop 2022.
Jul 22 Laura Zeidler presents our paper on using CheckList 
to evaluate textual, graph-based and contextualized NLG evaluation metrics through the lens of Semantic Similarity Rating
in the *SEM Conference at NAACL 2022.
Apr 22 We're celebrating another successful PhD defense: Debjit Paul
defended his thesis on Social Commonsense Reasoning. Congratulations for the fine work and best of luck for your ongoing journey!
Apr 22: Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning has now appeared in JAIR.
A joint effort of members of the COST Action Multi3Generation: Multi-task, Multilingual, Multi-modal. Enjoy!
Feb 22: Our paper VALSE 💃: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena was accepted at ACL 2022 Main!
Feb 22: Todor Mihaylov and Bich-Ngoc Do
both defended their PhD thesis this month. We're very prowd of their work.
Congratulations!
Jan 22: I'm proud to have been selected as one of eight ACL fellows in 2021
for integrative work in linguistically informed, technically well-founded semantics- and discourse-oriented natural language processing.
Thank you ACL and thanks to all my collaborators!
Nov 21: Juri Opitz and members of ACCEPT won the Best Paper Award in the ArgMining Workshop @EMNLP!
Nov 21: I've been recognized as outstanding reviewer for EMNLP 2021.
Nov 21: I will give a panelist talk in the ArgMining Workhop 2021.
Oct 21: I will give a Keynote Speech at CLAR 2021
Oct 21: So excited to congratulate Prof. Dr. Nils Reiter
- former PhD student and member of the NLP group,
- a passionate of Digital Humanities and teaching
- to his recent appointment
as Professor of Digital Humanities & Natural Language Processing
at the University of Cologne. — Congratulations!
Sep 21: We have a paper accepted for the ArgMining Workshop at EMNLP!
Aug 21: Now serving as Action Editor for TACL!
Aug 21: We have new paper accepted for Transactions of the ACL!
- on advanced graph-based similarity metrics for AMR
- offering a novel benchmark for AMR similarity
- Juri Opitz, Angel Daza and Anette Frank (to appear):
Weisfeiler-Leman in the BAMBOO:
Novel AMR Graph Metrics and a
Benchmark for AMR Graph Similarity. Already available on ArXiv
RESEARCH
My research focuses on discourse-oriented semantics using neural methods for advanced NLU tasks, such as reading comprehension, commonsense reasoning or argumentation analysis.
Current research themes include:
- Machine Reading Comprehension
- (Social) Commonsense Reasoning
- Computational Argumentation
- Hypothetical, Counterfactual and Abductive Inference
- Meaning-based NLG Evaluation Metrics
- Reconstructing Implicit Knowledge in Text
- Representing Events and their Participants
- Resolving Anaphora
- Grounding Language in Images
- Multimodal Fusion
Research areas I have been working on in the past:
ONTOLOGIES FOR SEMANTIC PROCESSING AND REPRESENTATION
- Information extraction (relation extraction, temporal processing)
- Multilingual question-answering
- Ontology-based lexicon modelling
CORPUS-BASED GRAMMAR INDUCTION AND LEXICON ACQUISITION
- Creation and use of treebanks and annotated corpora
- Corpus-based induction of treebanks, grammars, and lexicon resources
- Crosslingual resource induction using parallel corpora
- Semantics construction and dynamic semantics, esp. Discourse Representation Theory
- Scope and underspecification
- Lexical semantics
- Modality, propositional attitudes and discourse subordination
- Temporal analysis
- Textual entailment
- Grammar formalisms and grammar engineering techniques
- Multilingual syntactic analysis
- Multilingual semantic analysis and resource creation
- Grammar-based machine translation
CURRICULUM VITAE
Academic degrees
Habilitation in Computational Linguistics
Institute for Natural Language Processing (IMS)
Faculty of Philosophy, University of Stuttgart, Germany
Dissertation in Computational Linguistics
Institute for Natural Language Processing (IMS)
Faculty of Philosophy, University of Stuttgart, Germany
Master of Arts (Magister) in Linguistics (major)
Computer Science (minor) and Romance Linguistics (minor)
Institute for Natural Language Processing (IMS)
Faculty of Philosophy, University of Stuttgart, Germany
Studies
Studies of Linguistics, Computer Science and Romance Linguistics
University of Stuttgart, Germany
Studies of German and Romance Literature and Linguistics
University of Heidelberg, Germany
Employment
Professor of Computational Linguistics
Department of Computational Linguistics
University of Heidelberg, Germany
Senior Researcher
Language Technology Lab, German Research Center for Artificial Intelligence
DFKI, Saarbrücken, Germany
Teaching replacement (C4 Professorship, CL)
Institute for Natural Language Processing
IMS, University of Stuttgart, Germany
Researcher
MultiLingual Theory and Technology Lab
Xerox Research Centre Europe, XRCE, Grenoble, France
Researcher
Institute for Natural Language Processing
IMS, University of Stuttgart, Germany
Student Employment
Research Assistent
Institute for Natural Language Processing
IMS, University of Stuttgart, Germany
Freelancer
IBM Scientific Research Center Heidelberg, Germany
Teaching Assistant
Lycee George de la Tour, Nancy, France
For more information please consult my personal CV.
PUBLICATIONS
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Parcalabescu, L., Frank, A. (2024)
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) .
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Kesen, I., Pedrotti, A., Dogan, M., Cafagna, M., Acikgoz, E., Parcalabescu, L., Calixto, I., Frank, A., Gatt, A., Erdem, A., Erdem, E. (2024)
arXiv preprint arXiv:2311.07022.
Graph Language Models
Plenz, M., Frank, A. (2024)
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) .
PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis
Plenz, M., Heinisch, P., Frank, A., Cimiano, P. (2024)
Proceedings of the 1st International Conference on Recent Advances in Robust Argumentation Machines (RATIO-24) .
Exploring Continual Learning of Compositional Generalization in NLI
Fu, X., Frank, A. (2024)
Transactions of the Association for Computational Linguistics.
Compositional Structured Explanation Generation with Dynamic Modularized Reasoning
Fu, X., Frank, A. (2024)
Proceedings of the 13th Joint Conference on Lexical and CompuProceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), Mexico City, Mexico.
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Parcalabescu, L., Frank, A. (2024)
arXiv preprint arXiv:2404.18624.
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
Richter-Pechanski, P., Wiesenbach, P., Schwab, D., Kiriakou, C., Geis, N., Dieterich, C., Frank, A. (2024)
Journal of Natural Language Engineering.
Robust Argumentation Machines. First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings
(2024)
The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning
Fu, X., Frank, A. (2024)
Proceedings of Findings at EMNLP 2024, Miami, Florida, USA.
Clinical information extraction for lower-resource languages and domains with few-shot learning using pretrained language models and prompting
Richter-Pechanski, P., Wiesenbach, P., Schwab, D., Kiriakou, C., Geis, N., Dieterich, C., Frank, A. (2024)
Natural Language Processing.
SETI: Systematicity Evaluation of Textual Inference
Fu, X., Frank, A. (2023)
Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada.
ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection
Heinisch, P., Plenz, M., Frank, A., Cimiano, P. (2023)
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada.
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph Distance
Opitz, J., Meier, P., Frank, A. (2023)
Proceedings of the 15th International Conference on Computational Semantics (IWCS 2023) , Nancy, France.
AMR4NLI: Interpretable and robust NLI measures from semantic graphs
Opitz, J., Wein, S., Steen, J., Frank, A., Schneider, N. (2023)
Proceedings of the 15th International Conference on Computational Semantics (IWCS 2023), Nancy, France.
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks
Parcalabescu, L., Frank, A. (2023)
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada.
Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks
Plenz, M., Opitz, J., Heinisch, P., Cimiano, P., Frank, A. (2023)
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Toronto, Canada.
Exploring Large Language Models for Classical Philology
Riemenschneider, F., Frank, A. (2023)
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada.
Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient Greek Literature
Riemenschneider, F., Frank, A. (2023)
Proceedings of the Ancient Language Processing Workshop, Varna, Bulgaria.
With a Little Push, {NLI} Models can Robustly and Efficiently Predict Faithfulness
Steen, J., Opitz, J., Frank, A., Markert, K. (2023)
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Toronto, Canada.
MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning
Eichenberg, C., Black, S., Weinbach, S., Parcalabescu, L., Frank, A. (2022)
Findings of EMNLP.
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
Erdem, E., Kuyu, M., Yagcioglu, S., Frank, A., Parcalabescu, L., Plank, B., Babii, A., Turuta, O., Erdem, A., Calixto, I., Lloret, E., Apostol, E., Truica, C., Sandrih, B., Gatt, A., Martincic-Ipsic, S., Berend, G., Korvel, G. (2022)
Journal of Artificial Intelligence Research (JAIR).
Strategies for Framing Argumentative Conclusion Generation
Heinisch, P., Frank, A., Opitz, J., Cimiano, P. (2022)
Proceedings of the 15th International Natural Language Generation Conference.
Data Augmentation for Improving the Prediction of Validity and Novelty of Argumentative Conclusions
Heinisch, P., Plenz, M., Opitz, J., Frank, A., Cimiano, P. (2022)
Proceedings of the 9th Workshop on Argument Mining (ArgMining), Online and in Gyeongju, Republic of Korea.
Overview of the 2022 Validity and Novelty Prediction Shared Task
Heinisch, P., Frank, A., Opitz, J., Plenz, M., Cimiano, P. (2022)
Proceedings of the 9th Workshop on Argument Mining (ArgMining), Online and in Gyeongju, Republic of Korea.
Better Smatch = Better Parser? AMR evaluation is not so simple anymore
Opitz, J., Frank, A. (2022)
Proceedings of the 3rd Workshop on Evaluation & Comparison of NLP Systems (Eval4NLP 2022) ,co-located at AACL 2022.
SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features
Opitz, J., Frank, A. (2022)
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), Online.
VALSE💃: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
Parcalabescu, L., Cafagna, M., Muradjan, L., Frank, A., Calixto, I., Gatt, A. (2022)
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics.
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating
Zeidler, L., Opitz, J., Frank, A. (2022)
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics (*SEM).
TEACHING
REGULAR CLASSES
- Introduction to Computational Linguistics
Lectures with exercises, 4 SWS (2007-2012) - Formal and Computational Syntax
Lectures with exercises, 4 SWS (since 2008) - Formal and Computational Semantics
Lectures with exercises, 4 SWS (since 2013) - Computational Linguistics Colloquium
SEMINARS (SELECTION)
- Dear LLMs, we have some questions!
- Natural Language Generation
- New Dvlpmts in NN Architectures & Representation Learning for NLU Tasks
- Knowledge Acquisition and Inference for Complex NLP Tasks
- New Developments in Semantic Parsing and Discourse Analysis
- Semantic Discourse Processing
- From Information Extraction to Deep Semantic Parsing
- Semantic NLP – from a discourse perspective
- Data-driven Methods in NLP
SUPERVISION (BA and MA Theses)
- I supervise a considerable number of student theses.
You find them listed on this page. Main supervisor listed first. - Here you find guidelines for how to write (or not to write) a thesis:
My collection of Dos and Don'ts when writing a thesis
Guidelines by Katarina Klein, Ruhr-Universität Bochum
Guidelines by Maria Lieber, TU Dresden
LaTeX-Vorlage des Instituts für Computerlinguistik, Heidelberg.
SUPERVISION
Ph.D Supervision (advisor)
Completed theses
Letitia Parcalabescu
Measuring the Contributions of Vision and Text Modalities in Multimodal Transformers
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Albert Gatt
Juri Opitz
Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Sebastian Pado
Debjit Paul
Social Commonsense Reasoning with Unstructured and Structured Knowledge
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Michael Strube
Todor Mihaylov
Knowledge-Enhanced Neural Networks for Machine Reading Comprehension
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Sebastian Riedel
Angel Daza
Cross-lingual Semantic Role Labeling through Translation and Multilingual Learning
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Sebastian Pado
Maria Becker
Building Bridges - Reconstructing Implicit Information in Argumentative Texts using Commonsense Knowledge
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Andreas Witt
Ana Marasoviç
Deep Learning with Sentiment Inference for Discourse-Oriented Opinion Analysis
Advisor and 1st Examiner: Prof. Dr. A. Frank
2nd Examiner: Prof. Dr. M. Strube
External Examiner: Prof. Dr. B. Webber
Matthias Hartung
Distributional Semantic Models of Attribute Meaning in Adjectives and Nouns
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Sebastian Pado
Nils Reiter
Discovering Structural Similarities in Narrative Texts using Event Alignment Algorithms
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Sebastian Pado
Michael Roth
Inducing Implicit Arguments via Cross-document Alignment – A Framework and its Applications
Advisor and 1st Examiner: Prof. Dr. Anette Frank
2nd Examiner: Prof. Dr. Michael Strube
Ph.D Supervision (second advisor)
Federico Lopez
Learning Neural Graph Representations in Non-Euclidean Geometries
Advisor and 1st Examiner: Prof. Dr. Michael Strube
2nd Examiner: Prof. Dr. Anette Frank
Bich-Ngoc Do
Neural Techniques for German Dependency Parsing
1st Advisor and Examiner: Dr. Ines Rehbein
2nd Advisor and Examiner: Prof. Dr. A. Frank
Benjamin Heinzerling
Aspects of Coherence for Entity Analysis
1st Advisor and Examiner: Prof. Dr. Michael Strube
2nd Advisor and Examiner: Prof. Dr. Anette Frank
Benjamin Börschinger
Exploring human lexical acquisition using Bayesian modelling
Co-Tutelle Macquarie University and Heidelberg University
1st Advisor: Prof. Mark Johnson
2nd Advisor: Prof. Dr. Anette Frank
Aljoscha Burchardt
Modeling Textual Entailment with Role-Semantic Information
Saarland University
1st Advisor: Prof. Dr. Manfred Pinkal
2nd advisor: Prof. Dr. Anette Frank
Stefanie Dipper
Implementing and Documenting Large-Scale Grammars -- German LFG
University of Stuttgart
1st Advisor: Prof. Dr. C. Rohrer
2nd advisor: PD Dr. Anette Frank
Ph.D Supervision (External Examinar in Ph.D. Committees)
Sabine Weber
Unsupervised German Predicate Entailment Using The Distributional Inclusion Hypothesis
University of Edinburgh
Advisor: Prof. Mark Steedman
Internal Examiner: Alexandra Birch-Mayne, Ph.D.
External Examiner: Prof. Dr. Anette Frank
Rik van Noord
Character-based Neural Semantic Parsing
University of Groningen
Advisor: Prof. Dr. Johan Bos
External Examiners: Prof. Dr. Michael Biehl, Prof. Dr. Anette Frank and Prof. Dr. Mirella Lapata
Viktor Alexander Judea
Global Inference and Local Syntax Representations of Events
Heidelberg University
Advisor: Prof. Dr. Michael Strube
2nd Examiner: Prof. Dr. Anette Frank
Parvin Sadat Feizabadi
Strategies to Address Data Sparseness in Implicit Semantic Role Labeling
Heidelberg University
Advisor: Prof. Dr. Sebastian Pado, Stuttgart University
2nd Examiner: Prof. Dr. Anette Frank, Heidelberg University
Chunyang Xiao
Neural-Symbolic Learning for Semantic Parsing
Université de Lorraine
Advisors: Claire Gardent, LORIA, Nancy and Marc Dymetman, Naver Labs Europe, Grenoble, France
External Examiners: Prof. Dr. Anette Frank and Prof. Mark Steedman
Britta Dorothee Zeller
Induction, Semantic Validation and Evaluation of a Derivational Morphology Lexicon for German
Heidelberg University
Advisor: Prof. Dr. Sebastian Pado
External Examiner: Prof. Dr. Anette Frank
Angela Petra Fahrni
Joint Discourse-aware Concept Disambiguation and Clustering
Heidelberg University
Advisor: Prof. Dr. Michael Strube
External Examiner: Prof. Dr. Anette Frank
Jie Cai
Coreference Resolution via Hypergraph Partitioning
Heidelberg University
Advisor: Prof. Dr. Michael Strube
External Examiner: Prof. Dr. Anette Frank
Ineta Sejane
Wissensrepräsentation Linguistik. Modellierung, Potenzial und Grenzen am Beispiel der Ontologie zur deutschen Grammatik
Heidelberg University
Advisor: Prof. Dr. C. v. Stutterheim
External Examiner: Prof. Dr. A. Frank
Nathalie Schluter
Treebank-Based Deep Grammar Acquisition for FrenchIneta Sejane
Dublin City University, School of Computing
Advisor: Prof. Dr. Josef van Genabith
Internal Examiner: Dr. Deirdre Hogan
External Examiner: Prof. Dr. Anette Frank
Silke Scheible
A Computational Treatment of Superlatives
University of Edinburgh
Advisor: Prof. Bonnie Webber
Internal Examiner: Prof. Ewan Klein
External Examiner: Prof. Dr. Anette frank
Gerd Fliedner
Linguistically Informed Question Answering
Saarland University
Advisor: Prof. Dr. Manfred Pinkal
External Examiner: Prof. Dr. Anette Frank
Frank H. Müller
A Finite State Approach to Shallow Parsing and Grammatical Functions Annotation of German
University of Tübingen
Advisor: Prof. Dr. E. Hinrichs
External Examiner: PD Dr. Anette Frank
HABILITATION
Dr. Sabine Tittel
Integration von historischer lexikalischer Semantik und Ontologien in den Digital Humanities. Mit Materialien des Altfranzösischen, des Mittelfranzösischen und Altgasconischen als Linked Data ins Semantic Web
Universität Heidelberg
Mentors: Prof. Dr. Sybille Große, Prof. Dr. Anette Frank, Prof. Dr. Vahram Atayan