Chair of Computational Linguistics
Prof. Dr. Anette Frank
Contact
| Institut für Computerlinguistik | email: frank sign cl sign uni-heidelberg sign de |
| Im Neuenheimer Feld 325 | phone: +49-(0)6221/54-3247 |
| D-69120 Heidelberg | sek: +49-(0)6221/54-3245 |
| Germany | fax: +49-(0)6221/54-3242 |
Research
My research focuses on statistical - nowadays mostly neural - NLP methods for discourse-oriented semantic analysis and information access tasks with the aim of improving computational natural language understanding.
For more information please consult my research and publication pages and the pages of my research group.
I am member of the standing reviewer committee of TACL and member of the Editorial Board of the Computational Linguistics Journal (2018 -- 2021).
Office Hours and Teaching
- Office hours: Please write an email for appointment!
- Writing a thesis or homework:
- Thesis topics: new topics to be published soon, write me email if interested.
- Leitfaden zur Abfassung wissenschaftlicher Arbeiten, Ruhr-Universität Bochum, Katarina Klein
- Leitfaden zur Abfassung wissenschaftlicher Arbeiten, TU Dresden, Maria Lieber
- Dos and donts
News
Three members of the NLP group will attend EurNLP 2019 in London to present and discuss their research:
- 
Todor Mihaylov: Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
- Letitia Parcalabescu: Unsupervised Text to Scene Graph Alignment with WordNet Neighborhood
- Debjit Paul: Graph-based Multi-Hop Commonsense Knowledge
Selected new publications
- Angel Daza and Anette Frank: Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling, EMNLP 2019.
- Todor Mihaylov and Anette Frank: Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension, EMNLP 2019.
- Ioana Hulpus, Jonathan Kobbe, Christian Meilicke, Heiner Stuckenschmidt, Graeme Hirst, Maria Becker, Juri Opitz, Vivi Nastase and Anette Frank: Towards Explaining Natural Language Arguments with Background Knowledge, SemEx 2019@ISWC.
- Juri Opitz and Anette Frank (2019): Dissecting Content and Context in Argumentative Relation Analysis, Argument Mining@ACL 2019.
- Juri Opitz and Anette Frank (2019): Automatic Accuracy Prediction for AMR Parsing, *SEM 2019.
- Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpus, Heiner Stuckenschmidt and Anette Frank (2019): Exploiting Background Knowledge for Argumentative Relation Classification, Second biennial conference on Language, Data and Knowledge (LDK 2019), *Best Paper Award*.
- Debjit Paul and Anette Frank (2019): Ranking and selecting Multi-Hop Knowledge Paths to Better Predict Human Needs, NAACL 2019.
- Juri Opitz and Anette Frank (2018): Addressing the Winograd Schema Challenge as a Sequence Ranking Task, International Workshop on Language, Cognition and Computational Models (LCCM).
- Todor Mihaylov and Anette Frank (2018): Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge, ACL 2018, Melbourne (Volume 1: Long Papers).
- Angel Daza and Anette Frank (2018): A Sequence-to-Sequence Model for Semantic Role Labeling, RepL4NLP@ACL 2018, Melbourne, Australia.
- Ana Marasović and Anette Frank (2018): SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling, NAACL 2018, New Orleand, LA.
- Ana Marasović, Leo Born, Juri Opitz and Anette Frank: A Mention-Ranking Model for Abstract Anaphora Resolution. EMNLP 2017, Copenhagen, Denmark.
- Maria Becker, Michael Staniek, Vivi Nastase and Anette Frank: Enriching Argumentative Texts with Implicit Knowledge, NLDB 2017, Liege, Belgium.
DFG accepts new project on Knowledge-based Argumentation Analysis
The new project ExpLAIN: Between the lines -- Knowledge-based Analysis of Argumentation in a formal Argumentation Inference System is funded within the DFG priority program RATIO: Robust Argumentation Machines.The project is jointly conducted by Prof. Anette Frank and Prof. Heiner Stuckenschmidt (University of Mannheim) and their associated research groups.
The project aims to
- uncover missing explanatory links in argumentative texts,
- fill in automatically acquired knowledge that makes the structure of the argument explicit, and
- will establish and verify the knowledge-enhanced argumentation structure with a combination of formal reasoning and machine learning.
Within the priority programme RATIO: Robust Argumentation Machines we will contribute to community actions, shared tasks and evaluation efforts.
Current Projects
- Between the lines - Knowledge-based Analysis of Argumentation in a formal Argumentation Inference System (SPP RATIO: Robust Argumentation Machines) (2018 - 2021)
- Leibniz ScienceCampus: Empirical Linguistics and Computational Language Learning (2015 - 2019)
- DFG Graduiertenkolleg: Adaptive Informationsaufbereitung aus Heterogenen Quellen (2015 - 2019)
Completed Projects
- CLARIN-D Curation Project: Semantic Annotation for Digital Humanities (2015 - 2016)
- CLARIN-D (2011 - 2014, 2014 - 2016)
- Coherence in Language Processing: Semantics beyond the Sentence (2011 - 2014)
- Ontology Modeling for Ritual Structure Research (2009 - 2013)
- The Role of Context in Language Processing (2011 - 2012)
- Turkologischer Anzeiger: Creation of a Translingual Database (2009 - 2010)
- SightSee: Synchronous Generation of Language and 3D-Scenes (2008 - 2010)
- SmartWeb (2006 - 2007)
- SALSA II (2004 - 2007; co-project leader, with Manfred Pinkal)
- Quetal (2003 - 2005; co-project leader)
- WhiteBoard (2001 - 2002; co-project leader)
Former Affiliations
- Language Technology Lab, German Research Center for Artificial Intelligence, DFKI, Saarbrücken (2000 - 2007)
- Multilingual Language and Technology (MLTT) group, Xerox Research Centre Europe, XRCE, Grenoble (1997 - 2000)
- Institute of Natural Language Processing (IMS), University of Stuttgart (1991 - 1997)
