As is usual for the field of computational linguistics, most of my research is presented in the course of conferences and is published in the corresponding proceedings.
Journal Articles
Dykes, Natalie; Evert, Stefan; Göttlinger, Merlin; Heinrich, Philipp; Schröder, Lutz (2021). Argument parsing via corpus queries. it - Information Technology63(1): 31–44. [bib, web]
Dykes, Natalie; Evert, Stefan; Göttlinger, Merlin; Heinrich, Philipp; Schröder, Lutz (2020). Reconstructing Arguments from Noisy Text: Introduction to the RANT project. Datenbank-Spektrum20: 123–129. [bib, web, pdf]
Evert, Stefan; Heinrich, Philipp; Henselmann, Klaus; Rabenstein, Ulrich; Scherr, Elisabeth; Schmitt, Martin; Schröder, Lutz (2019). Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. J. Logic, Language and Information (JoLLI)28: 309–330. [bib, web, pdf]
Schäfer, Fabian; Evert, Stefan; Heinrich, Philipp (2017). Japan’s 2014 General Election: Political Bots, Right-Wing Internet Activism and PM Abe Shinzō’s Hidden Nationalist Agenda. Big Data5(4): 1–16. [bib, web]
Edited Volumes
Griebel, Tim; Evert, Stefan; Heinrich, Philipp (2020). Multimodal Approaches to Media Discourses: Reconstructing the Age of Austerity in the United Kingdom. London: Routledge. [bib, web]
Chair of Computational Corpus Linguistics, FAU Erlangen-Nürnberg (2019). Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019). Erlangen, Germany: German Society for Computational Linguistics & Language Technology. [bib, web, pdf]
Articles in Conference Proceedings
Arasteh, S. T.; Monajem, M.; Christlein, V.; Heinrich, P.; Nicolaou, A.; Boldaji, H. N.; Lotfinia, M.; Evert, S. (2021). How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. In 2021 IEEE 15th International Conference on Semantic Computing (ICSC), pages 370–373, Laguna Hills, CA, USA. [bib, pdf]
Adrian, Axel; Evert, Stefan; Keuchen, Michael; Heinrich, Philipp; Dykes, Natalie (2020). Anonymisierung von Gerichtsurteilen – Eine wesentliche Voraussetzung für E-Justice. In Cybergovernance, Tagungsband des 24. Internationalen Rechtsinformatik Symposiums IRIS 2021, pages 137 ff., Bern. [bib]
Blombach, Andreas; Dykes, Natalie; Heinrich, Philipp; Kabashi, Besim; Proisl, Thomas (2020). A Corpus of German Reddit Exchanges (GeRedE). In Proceedings of the 12th Language Resources and Evaluation Conference, pages 6310–6316, Marseille, France. [bib, web, pdf]
Evert, Stefan; Harlamov, Oleg; Heinrich, Philipp; Banski, Piotr (2020). Corpus Query Lingua Franca part II: Ontology. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 3346–3352, Marseille, France. [bib, web, pdf]
Proisl, Thomas; Dykes, Natalie; Heinrich, Philipp; Kabashi, Besim; Blombach, Andreas; Evert, Stefan (2020). EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 6142–6148, Marseille, France. [bib, web, pdf]
Dykes, Natalie; Heinrich, Philipp; Evert, Stefan (2020). Arguing Brexit on Twitter. A corpus linguistic study. In Reason to dissent. Proceedings of the 3rd European Conference on Argumentation, Vol. II (Studies in Logic and Argumentation 86), pages 217–229, London. [bib, web]
Blombach, Andreas; Dykes, Natalie; Evert, Stefan; Heinrich, Philipp; Kabashi, Besim; Proisl, Thomas (2019). A New German Reddit Corpus. In Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019): Kaleidoscope Abstracts, pages 278–279, Erlangen, Germany. [bib, pdf, slides]
Heinrich, Philipp (2018). Stylistic Features in Corporate Disclosures and their Predictive Power. In Proceedings of 4th Asia Pacific Corpus Linguistics Conference (APCLC2018), pages 129–134, Takamatsu, Japan. [bib, pdf, slides]
Heinrich, Philipp; Schäfer, Fabian (2018). Extending Corpus-Based Discourse Analysis for Exploring Japanese Social Media. In Proceedings of 4th Asia Pacific Corpus Linguistics Conference (APCLC2018), pages 135–140, Takamatsu, Japan. [bib, pdf, slides]
Heinrich, Philipp; Adrian, Christoph; Kalashnikova, Olena; Schäfer, Fabian; Evert, Stefan (2018). A Transnational Analysis of News and Tweets about Nuclear Phase-Out in the Aftermath of the Fukushima Incident. In Proceedings of the LREC 2018 “Workshop on Computational Impact Detection from Text Data”, pages 8–16, Paris. [bib, pdf, slides]
Evert, Stefan; Heinrich, Philipp; Henselmann, Klaus; Rabenstein, Ulrich; Scherr, Elisabeth; Schröder, Lutz (2017). Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. In Proceedings of the Workshop on Logic and Algorithms in Computational Linguistics 2017 (LACompLing2017), pages 47–62, Stockholm, Sweden. [bib, web, pdf, slides]
Articles in Collections
Adrian, Christoph; Griebel, Tim; Heinrich, Philipp; Vollmann, Erik (2020). Will the real populism (please) stand out? Eine interdisziplinäre Aufarbeitung populistischer Tendenzen in Brexit-Tweets im Kontext der Europawahl 2019. In Europawahlkampf 2019: Zur Rolle der Medien, edited by Holtz-Bacha, Christina, pages 245–274, Wiesbaden: Springer Fachmedien. [bib, web, pdf]
Pfaffenberger, Fabian; Heinrich, Philipp (2020). Die überschätzte Gefahr? Twitter-Bots im Europawahlkampf 2019. In Europawahlkampf 2019: Zur Rolle der Medien, edited by Holtz-Bacha, Christina, pages 115–148, Wiesbaden: Springer Fachmedien. [bib, web, pdf]
Griebel, Tim; Evert, Stefan; Heinrich, Philipp (2020). Possibilities and Challenges of Corpus-Assisted Discourse Analyses of Austerity in the United Kingdom. In Multimodal Approaches to Media Discourses: Reconstructing the Age of Austerity in the United Kingdom, edited by Griebel, Tim; Evert, Stefan; Heinrich, Philipp, pages 1–10, London: Routledge. [bib, web]
Griebel, Tim; Heinrich, Philipp (2020). The Cultural Political Economy of Brexit in the Age of Austerity. In Multimodal Approaches to Media Discourses: Reconstructing the Age of Austerity in the United Kingdom, edited by Griebel, Tim, Evert, Stefan Heinrich, Philipp, pages 163–188, London: Routledge. [bib, web]
Pfaffenberger, Fabian; Adrian, Christoph; Heinrich, Philipp (2019). Was bin ich – und wenn ja, wie viele?. In Die (Massen-)Medien im Wahlkampf: Die Bundestagswahl 2017, edited by Holtz-Bacha, Christina, pages 97–124, Wiesbaden: Springer Fachmedien. [bib, web, pdf]
Shared Tasks
Proisl, Thomas; Uhrig, Peter; Heinrich, Philipp; Blombach, Andreas; Mammerella, Sefora; Dykes, Natalie; Kabashi, Besim (2019). The_Illiterati: Part-of-Speech Tagging for Magahi and Bhojpuri Without Even Knowing the Alphabet. In Proceedings of the First International Workshop on NLP Solutions for Under Resourced Languages (NSURL 2019), pages 73–79, Trento, Italy. [bib, web, pdf, slides]
Proisl, Thomas; Heinrich, Philipp; Kabashi, Besim; Evert, Stefan (2018). EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 235–242, Brussels, Belgium. [bib, web, pdf]
Proisl, Thomas; Heinrich, Philipp; Evert, Stefan; Kabashi, Besim (2017). Translation Inference across Dictionaries via a Combination of Graph-based Methods and Co-occurrence Statistics. In Proceedings of the LDK 2017 Workshops: 1st Workshop on the OntoLex Model (OntoLex-2017), Shared Task on Translation Inference Across Dictionaries & Challenges for Wordnets, pages 94–102, Galway, Ireland. [bib, pdf]
Talks and Presentations
Dykes, Natalie; Heinrich, Philipp; Blombach, Andreas (2020). Independent argumentation schemes? Transferring argument queries from Brexit to environment tweets. Presentation at ICAME41. Heidelberg, Germany. [bib]
Proisl, Thomas; Dykes, Natalie; Heinrich, Philipp; Kabashi, Besim; Evert, Stefan (2020). EmpiriST Corpus 2.0: Adding Normalization, Lemmatization and Semantic Tags to a German Web and Social Media Corpus. Presentation at the 42. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft. Sprachliche Diversität: Theorien, Methoden, Ressourcen. Hamburg. [bib]
Proisl, Thomas; Heinrich, Philipp (2019). NLP for German CMC Data. Presentation at Amazon Research Days 2019. Berlin, Germany. [bib, abstract, poster]
Proisl, Thomas; Dykes, Natalie; Blombach, Andreas; Heinrich, Philipp; Kabashi, Besim (2019). NLP for German CMC Texts: Tokenization, POS Tagging, and a New Gold Standard for Lemmatization. Presentation at Annotation of Non-Standard Corpora. Bamberg, Germany. [bib, pdf]
Dykes, Natalie; Evert, Stefan; Peters, Joachim; Heinrich, Philipp (2019). Argumentation is key: A keyword-based study of arguments in online discourse. Presentation at Corpus Linguistics 2019. Cardiff, UK. [bib]
Dykes, Natalie; Heinrich, Philipp; Evert, Stefan (2019). Arguing Brexit on Twitter. A corpus linguistic study. Presentation at European Conference on Argumentation 2019. Groningen, Netherlands. [bib, slides]
Dykes, Natalie; Heinrich, Philipp; Evert, Stefan (2019). Reconstructing Twitter arguments with corpus linguistics. Presentation at ICAME40: Language in Time, Time in Language. Neuchâtel, Switzerland. [bib, slides]
Göttlinger, Merlin; Schröder, Lutz; Heinrich, Philipp; Dykes, Natalie; Evert, Stefan (2019). Corpus Queries for Argumentation Mining. Presentation at the RATIO Symposium 2019. Bielefeld, Germany. [bib, poster]
Evert, Stefan; Heinrich, Philipp (2019). Introducing MMDA: An interactive toolkit for CDA. Presentation at the 7th Göttingen-Hildesheim-Workshop on Computational Linguistics and Digital Humanities: Digital Methods in Political Science. Göttingen, Germany. [bib, abstract, slides]
Diwersy, Sascha; Evert, Stefan; Heinrich, Philipp; Proisl, Thomas (2019). Means of Productivity – On the statistical modelling of the restrictedness of lexico-grammatical patterns. Presentation at EUROPHRAS 2019. Santiago de Compostela, Spain. [bib, abstract, slides]
Heinrich, Philipp (2018). Corpus-Based Discourse Analysis: Recent Developments and Future Directions. Presentation at KAIST. Seoul, Republic of Korea. [bib, pdf]
Griebel, Tim; Heinrich, Philipp (2017). The Cultural Political Economy of Brexit in the Age of Austerity – a Corpus-Assisted Critical Realist Multimedia Discourse Analysis. Presentation at IPSA International Conference “Political Science in the Digital Age: Mapping Opportunities, Perils and Uncertainties”. Hannover, Germany. [bib, pdf]
Evert, Stefan; Heinrich, Philipp; Schäfer, Fabian (2017). Social Bots in Japan's 2014 General Election: Preliminary Results from a Corpus-Linguistic and Qualitative Study of Computational Propaganda on Twitter. Presentation at the 3rd Annual International Conference on Computational Social Science, Cologne. [bib, slides]