Erik-Lân Do Dinh

Dipl.-Math. Erik-Lân Do Dinh

Doctoral researcher

+49 6151 16-25297
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B111

Research interests

  • Digital Humanities
  • Supervised and weakly supervised machine learning
  • Metaphor and Non-Literal Language

Projects

Natur und Staat – Together with Alexandra Núnez (linguistics) and Malte Gerloff (philosophy) I have worked on the corpus “Natur und Staat” (1903-1911), a collection of “Preisschriften” concerning the interpretation of Darwin's theories in political and sociological context.

Student guidance

I currently co-supervise or have co-supervised the following students and research assistants

  • Susi Lee: Finding Conceptual Metaphors with Semantically Enriched Embeddings (BSc final thesis, 2018)
  • Hannah Wieland: Crowd Sourcing Novel Metaphor Annotations, (BSc final thesis, 2017)
  • Hanish Goel: Automatic Adaptation and Creation of Domain-specific Lexical Resources for Opinion Mining (MSc final thesis, 2017)
  • Heiko Reinemuth: Noisy Text Normalization with Character-based Recurrent Neural Networks (BSc final thesis, 2016)
  • Deborah Buth: Corpus-Based OCR Post-Processing of German Historical Texts (MSc final thesis, 2015)
  • Ute Winchenbach: Opinion Mining on German Historical Texts (BSc final thesis, 2015)

Biographical information

I hold a Diplom (equiv. to M.Sc.) in Mathematics from Technische Universität Darmstadt. In November 2014 I was granted a 3-year PhD scholarship with the program “Knowledge Discovery in Scientific Literature” (KDSL) at the TU Darmstadt.

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2019 | 2018 | 2017 | 2016 | 2015 | 2013
Anzahl der Einträge: 16.

2019

Miller, Tristan ; Do Dinh, Erik-Lân ; Simpson, Edwin ; Gurevych, Iryna (2019):
OFAI–UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning.
In: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019), Bilbao, Spain, Bilbao, Spain, In: CEUR Workshop Proceedings, [Konferenzveröffentlichung]

Simpson, Edwin ; Do Dinh, Erik-Lân ; Miller, Tristan ; Gurevych, Iryna (2019):
A Bayesian Approach for Predicting the Humorousness of One-liners.
In: 2019 Conference of the International Society for Humor Studies, Austin, TX, USA, 2019-06-24 to 2019-06-28, [Konferenzveröffentlichung]

Simpson, Edwin ; Do Dinh, Erik-Lân ; Miller, Tristan ; Gurevych, Iryna (2019):
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning.
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), In: The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019--02.08.2019, [Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...],
[Konferenzveröffentlichung]

2018

Núñez, Alexandra ; Gerloff, Malte ; Do Dinh, Erik-Lân ; Rapp, Andrea ; Gehring, Petra ; Gurevych, Iryna (2018):
A ‘wind of change’—shaping public opinion of the Arab Spring using metaphors.
In: Digital Scholarship in the Humanities, European Association for Digital Humanities, DOI: 10.1093/llc/fqy058,
[Online-Edition: http://dx.doi.org/10.1093/llc/fqy058],
[Artikel]

Do Dinh, Erik-Lân ; Gurevych, Iryna ; Gehring, Petra (2018):
Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity.
In: Proceedings of the 14th eScience IEEE International Conference, In: The 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29.10.2018--01.11.2018, DOI: 10.1109/eScience.2018.00067,
[Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...],
[Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Wieland, Hannah ; Gurevych, Iryna (2018):
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, In: The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31.10.2018--04.11.2018, Long Papers, [Online-Edition: https://www.aclweb.org/anthology/D18-1171],
[Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Eger, Steffen ; Gurevych, Iryna (2018):
One Size Fits All? A Simple LSTM for Non-literal Token- and Construction-level Classification.
In: Proceedings of LaTeCH-CLfL 2018, In: LaTeCH-CLfL 2018, Santa Fe, NM, USA, 25.08.2018, [Online-Edition: http://aclweb.org/anthology/W18-4508],
[Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Eger, Steffen ; Gurevych, Iryna (2018):
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection.
In: Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), In: The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, USA, 20.08.2018--26.08.2018, [Online-Edition: http://aclweb.org/anthology/C18-1132],
[Konferenzveröffentlichung]

2017

Núñez, Alexandra ; Gerloff, Malte ; Do Dinh, Erik-Lân ; Rapp, Andrea ; Gehring, Petra ; Gurevych, Iryna (2017):
A "Wind of Change" - Shaping Public Opinion of the "Arab Spring" Using Metaphors.
In: Proceedings of the Digital Humanities 2017, ADHO, Montréal, Canada, [Online-Edition: https://dh2017.adho.org/abstracts/041/041.pdf],
[Konferenzveröffentlichung]

Eger, Steffen ; Do Dinh, Erik-Lân ; Kuznetsov, Ilia ; Kiaeeha, Masoud ; Gurevych, Iryna (2017):
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION.
In: Proceedings of the International Workshop on Semantic Evaluation, Association for Computational Linguistics, Vancouver, Canada, [Online-Edition: http://aclweb.org/anthology/S17-2163],
[Konferenzveröffentlichung]

2016

Schnober, Carsten ; Eger, Steffen ; Do Dinh, Erik-Lân ; Gurevych, Iryna (2016):
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks.
In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, The COLING 2016 Organizing Committee, Osaka, Japan, [Online-Edition: http://aclweb.org/anthology/C16-1160],
[Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Gurevych, Iryna (2016):
Token-Level Metaphor Detection using Neural Networks.
In: Proceedings of The Fourth Workshop on Metaphor in NLP held in conjunction with NAACL 2016, Association for Computational Linguistics, San Diego, CA, USA, [Online-Edition: http://www.aclweb.org/anthology/W16-1104],
[Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Gerloff, Malte ; Núñez, Alexandra (2016):
Metaphern digital - Auf dem Weg von der Annotation zur automatischen Detektion.
In: Konferenzabstracts DHd 2016, Nisaba Verlag, [Online-Edition: http://www.dhd2016.de/abstracts/posters-011.html#publikationen#index.xml-b...],
[Konferenzveröffentlichung]

2015

Do Dinh, Erik-Lân ; Eckart de Castilho, Richard ; Gurevych, Iryna (2015):
In-tool Learning for Selective Manual Annotation in Large Corpora.
In: Proceedings of ACL-IJCNLP 2015 System Demonstrations, Association for Computational Linguistics and The Asian Federation of Natural Language Processing, Beijing, China, [Online-Edition: http://www.aclweb.org/anthology/P15-4003],
[Konferenzveröffentlichung]

Núñez, Alexandra ; Gerloff, Malte ; Do Dinh, Erik-Lân ; Rapp, Andrea ; Gehring, Petra ; Gurevych, Iryna (2015):
Natur und Staat: Automatische Metapherndetektion im biopolitischen Diskurs des 20. Jahrhunderts.
Berlin, Germany, [Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...],
[Anderes]

2013

Do Dinh, Erik-Lân (2013):
Automatic Identification of Novel Metaphoric Expressions.
Technische Universität Darmstadt, [Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...],
[Masterarbeit]

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