Studentische Abschlussarbeiten

Am Leibniz-WissenschaftsCampus „Empirical Linguistics and Computational Language Modeling“ wurden die nachfolgend aufgeführten Bachelor- und Masterarbeiten abgeschlossen (nach Jahren geordnet). Der Name der Erstbetreuerin bzw. des Erstbetreuers der Arbeit ist in Klammern aufgeführt.

Bachelorarbeiten

2020

  • Klerings, Alina: Comparison of Multilingual Word and Sentence Embeddings for cross-lingual Crisis Recognition, 2020 (Katja Markert)
  • Liang, Siting: Layer-wise Relevance Propagation for Neural Natural Language Inference, 2020 (Anette Frank)
  • Schaller, Christoph: Popularity Prediction for Social Media Question Answer Forums on Science, 2020 (Katja Markert)
  • Weber, Nicolas: Recommending Neural Network Architectures Based on Scientific Problem Descriptions, 2020 (Anette Frank)

2019

  • Berg, Caroline: Transferlernen für Diskursrelationsklassifikation im Deutschen durch Hilfe von Satzrepräsentationen aus unüberwachter Diskursmarkervorlage, 2019 (Anette Frank)
  • Bugert, Anne-Kathrin: Crowdsourcing for Comparative Anaphora Resolution, 2019 (Katja Markert)
  • Garcia, Yoalli Rezepka: Learning Representations for Prepositions on Multilingual Data, 2019 (Ines Rehbein)
  • Janusko, Tamás: Do we need a development set for the identification of offensive language? 2019 (Michael Wiegand)
  • Meier, Philipp: Bootstrapping eines frame-basierten Lexikons für Moral Foundations, 2019 (Ines Rehbein)
  • Meyer, Sarina: Automatische Extraktion kausaler Relationen, 2019 (Ines Rehbein)
  • Muyan Guo: ELMo for Psycholinguistics, Automatic analysis of conceptual features for motion events, 2019 (Anette Frank)
  • Pisetta, Ines: Erkennung (a)telischer Kontexte im Deutschen, 2019 (Anette Frank)
  • Reinig, Ines: Metaphor Detection for German, 2019 (Ines Rehbein)
    Schubert, Daniel: Evaluation und Verbesserung von Figurenkoreferenz in deutscher Literatur, 2019 (Ines Rehbein)
  • Singler, Oliver: Automatic Annotation of Emotions on German Metaphors, 2019 (Ines Rehbein)
  • Steinbach, Uli Paul: Automatic Alignment and Annotation Projection for Literary Texts, 2019 (Ines Rehbein)
  • Toyota, Utaemon: Deskriptive Analyse zweier Datensätze zur Identifikation von beleidigender Sprache, 2019 (Michael Wiegand)
  • Tsereteli, Tornike: The masculine secretary asked the visitor to sign in: Dissecting Implicit Bias in Language Models, 2019 (Anette Frank)
  • Zimmermann, Victor: Neural Resolution of Comparative Anaphora, 2019 (Katja Markert)

2018

  • Abu-Khader, Lina: Identifikation offensiver Inhalte in Twitterdaten, 2018 (Josef Ruppenhofer).
  • Both, Dominik: Authorship verification and automatic dating of latin sources, 2018 (Ines Rehbein).
  • Forster, Iryna: A Fine-Grained Classification of Offensive Language in German Tweets, 2018 (Josef Ruppenhofer).
  • Hartung, Kai: AMR Parsing with an Encoder-Decoder Model and MT-based Transfer to German, 2018 (Anette Frank).
  • Hubert, Rebekka: Robust authorship attribution with CNNs, 2018 (Ines Rehbein).
  • Huvar, Madita: Gender Classification durch Audience Design, 2018 (Ines Rehbein).
  • Konovalova, Ana: Anonymization of Corpora of Internet-Based Communication, 2018 (Viviana Nastase).
  • Mickiewicz, Claudia: Tuning Word Embeddings for Improving Frame Identification, 2018 (Anette Frank).
  • Park, Sunhyung: Generation of Domain Specific Sentimentlexica for German, 2018 (Katja Markert).
  • Schneider, Rudolph: Part-of-Speech Tagging for Classical Chinese, 2018 (Ines Rehbein).
  • Schüssele, Tobias: Automatische Erstellung von Verbfunktoren auf Basis von Twitterdaten, 2018 (Josef Ruppenhofer).
  • Spahic, Darmin: Disambiguating nominal prefixoid and suffixoid formations from compounds, 2018 (Josef Ruppenhofer).
  • Staniek: Michael: Improving and Analyzing Neural Negation Scope Detection for German an English, 2018 (Josef Ruppenhofer).
  • Weidler, Tonio: Neural Networks for Extractive Timeline Summarization, 2018 (Katja Markert).

2017

  • Bacher, Maximilian: Semi-Automatic Detection of new Spelling Variants for German, 2017 (Andreas Witt).
  • Birkenkamp, Alexander: Graphenbasierte Erkennung Deutscher Idiome
    im Kontext, 2017 (Katja Markert).
  • Boteva, Vera: A discovery of distant connections between diseases and foods from the nutritional domain, 2017 (Viviana Nastase).
  • Burst, Sebastian:  Graph-basierte Verfahren für WSI / WSD, 2017 (Anette Frank).
  • Fenrich, Nicole: Extraktion und Klassifikation kausaler Verben des Deutschen auf Basis multilingualer Daten, 2017 (Ines Rehbein).
  • Heilmann, Mira: Crosslinguales Dependenzparsing ohne parallele Daten, 2017 (Ines Rehbein).
  • Wilm, Rebecca: Extraktion von Affixoidkandidaten aus Korpora, 2017 (Josef Ruppenhofer).

2016

  • Hering, Jan Mirko: Domänenadaptive Sprachmodellierung im Kontext der Spracherkennung, 2016 (Yannick Versley).
  • Klowersa, Miriam: Automated creation of sense-level sentiment lexica for German, 2016 (Katja Markert).
  • Nicholas, Dustin: Ein Ansatz für überwachtes Lernen in der Normalisierung historischer Texte, 2016 (Yannick Versley).
  • Rudolf, Kai-Fabian: Annotation impliziter semantischer Rollen mit lokalen SRL Modellen, 2016 (Anette Frank).
  • Steen, Julius: Using Semantic Relations to Explain Coherence in Argumentative Text, 2016 (Vivi Nastase).
  • Ulmer, Dennis: Analysen der Relationsvorhersage im Deutschen mithilfe von Wortvektorrepräsentationen, 2016 (Viviana Nastase).
  • Wolter, Isabell: Irony Recognition in German Twitter with the Help of User Data, 2016 (Katja Markert).

2015

  • Cramer, Catarina: A Graph-Based Method for linking GermaNet Verbs to FrameNet, 2015 (Anette Frank).
  • Gerhard, Julian: Genre Adaptive Optimization of Normalization Algorithms, 2015 (Yannick Versley).
  • Gorski, Damian: Unsupervised Induction of Domain-Specific Narrative Schemas, 2015 (Anette Frank).
  • Grimm, David: Verbesserte Lemmatisierung in domänenfremden Texten, 2015 (Yannick Versley).
  • Kirilin, Angelika: Crosslinguale Analyse von Parserverhalten mittels Graphmotiven, 2015 (Yannick Versley).
  • Opitz, Juri Alexander: Tracing Players and Themes in the Regesta Imperii, 2015 (Anette Frank).
  • Ruder, Sebastian: Construction and Analysis of an Emotion Proposition Store, 2015 (Anette Frank).
  • Zhou, Mengfei: Cross-lingual Semi-Supervised Modality, Tagging, 2015 (Anette Frank).

Masterarbeiten

2020

Suter, Julia: Employing the Scene Graph for Phrase Grounding, 2020 (Anette Frank)

2019

  • Hartmann, Franziska: Cross-linguale Erkennung von Hassrede mit Distributional Correspondence Indexing (DCI), 2019 (Katja Markert)
  • Marczewski, Frank: Automatische Klassifikation von Bundesverfassungsgerichtsurteilen, 2019 (Katja Markert)

2018

  • Clausen, Yulia: Metaphors in text simplification: Modeling metaphor occurrence in professionally simplified news texts, 2018 (Vivi Nastase).
  • Opitz, Juri: Solving Difficult Coreference Problems with a Siamese Neural Network, 2018  (Anette Frank).
  • Steen, Julius: Abstractive Timeline Summarization, 2018 (Katja Markert).
  • Takhsha, Jani: Community Question Answering Creating a Corpus and ranking Online Community Posts as Answers for Questions, 2018 (Ines Rehbein).

2017

  • Fritz, Devon: Simplifying Texts: Contextual Constraints on Modifier Deletion, 2017, MA Thesis (Anette Frank).
  • Grimm, David: Commonsense Relation Classification with Textual Evidence and Long Short-Term Memories along Shortest Dependency Paths, 2017,  MA Thesis (Anette Frank).
  • Zhou, Mengfei: Using Knowledge Graph for Targeted Information Extraction, 2017,  MA Thesis (Vivi Nastase).

2016

  • Haider, Thomas: Experiments towards a functional stylistics for text genre classification in german and english, 2016 (Alexis Palmer).
  • Placzek, Jonas: Crowdsourcing for phenomenon-based Active Learning: A Pilot Study on Annotators‘ Behavior, 2016 (Yannick Versley).

2015

  • Bingel, Joachim: Instantiation and Implementation of a Corpus Query Lingua Franca, 2015 (Andreas Witt).

2014

  • Haas, Michael: Weakly Supervised Learning for Compositional Sentiment Recognition, 2014 (Yannick Versley).