Niko Schenk

NLP Researcher & Computational Linguist

I am a researcher in Natural Language Processing (NLP) & PhD candidate in computational linguistics at the Applied Computational Linguistics Lab / Goethe University Frankfurt, Germany.

Research areas:
• Machine/Deep Learning in NLP
• Shallow Discourse Parsing (PDTB-/CDTB-style)
• Implicit Semantic Role Labeling (PropBank/NomBank/FrameNet)
Text Summarization and Text Generation
Sentiment/Opinion Mining and Subjectivity Analysis

Besides my own research, I serve as a member of various program committees for the major NLP conferences, e.g., ACL2018/ACL2019, EMNLP2018/-IJCNLP'19, LREC2018, SIGDIAL2017/2018/2019, ...

Résumé

Education

  • December 2014 - Ongoing

    Goethe University Frankfurt, Germany

    PhD Candidate

    Computer Science Department, Applied Computational Linguistics Lab
    Development of automated methods for retrieving implicit relations from text.

  • April 2011 - March 2013

    University of Tübingen, Seminar für Sprachwissenschaft

    M.A. in Computational Linguistics

    Final grade: 1.0 (A)
    Thesis: A Suffix Array-based Algorithm for the Extraction of Enhanced N-Grams

  • October 2007 - October 2010

    University of Tübingen, Seminar für Sprachwissenschaft

    B.A. in Computational Linguistics

    Final grade: 1.3 (A-)
    Thesis: A Finite-State Approach to Sentiment Analysis

Experience

  • April 2013 - Present

    Department of Computer Science & English and American Studies, Goethe University Frankfurt, Germany

    PhD Candidate & Researcher

    • Thesis on Implicit Discourse Parsing & Implicit Semantic Role Labeling
    State-of-the-art Chinese Implicit Discourse Parser
    • Involved in academic organization, grant applications, teaching (Corpus Linguistics & NLP), advising of students (B.A./M.A. Theses).

  • October 2010 - March 2011

    SONY Deutschland GmbH, Stuttgart Technology Center, Speech & Sound Group

    Software Development Intern

    • Development of a web crawler for online reviews and implementation of a multi-language sentiment analysis program.
    • Prototype development of a GUI and annotation guidelines for sentiment annotation.
    Successful patent grant

  • August 2009 - January 2010

    IBM Deutschland Research & Development GmbH, Text Analysis, Information Management

    Software Development Intern

    • Development of a pattern-based linguistic component for sentiment analysis + integration into IBM product: primarily, based on user-generated content from social media, forums, message boards, blogs.

Skills

I am familiar with a wide range of programming and scripting languages including Java, Python, R, and Ruby. I have knowledge in employing deep learning (CNNs, LSTM-based architectures) to complex natural language processing tasks such as discourse parsing or natural language inference. In particular, I have developed open source software using theano, keras, and deeplearing4j. Beyond that, I have set up web applications with Google Web Toolkit, ZK, and RESTful Web Services using JAX-RS.

  • Linguistic Modeling
  • Classical NLP
  • Evaluation & Model Training
  • Deep Learning
  • Text Summarization & Generation
  • Opinion Mining

Get In Touch

n.schenkem.uni-frankfurt.de

Affiliations:

Fachbereich Neuere Philologien
Institut für England- und Amerikastudien, Abteilung Linguistik
Goethe-Universität Frankfurt am Main / Campus Westend
Norbert-Wollheim-Platz 1, IG-Farben Haus, Raum: 3.216
60629 Frankfurt am Main


Fachbereich Informatik und Mathematik
Institut für Informatik, Angewandte Computerlinguistik
Goethe-Universität Frankfurt am Main / Campus Bockenheim
Robert-Mayer-Str. 11-15, Raum: 109
60325 Frankfurt am Main