Dr. Volha Petukhova

Researcher

Universität des Saarlandes (Saarland University)
66123 Saarbrücken
Building C7.1, Room 0.16

v.petukhova AT lsv.uni-saarland.de
+49 681 302 58 128

Research Interests

Computational semantics of natural language; Dialogue theory and computational pragmatics; Representation systems for beliefs, intentions, and actions; Context modelling and context-based reasoning; Intelligent, cooperative, multimodal communication; Cognitive modelling; Dialogue management; Multimodal HCI; Semantic annotations –Editorial Group member ISO 24617-2 (Semantic annotation framework – Dialogue Acts) and ISO 24617-5 (Semantic annotation framework – Semantic Roles)

Recent publications

  • Volha Petukhova and Harry Bunt (2020) Adapting the ISO 24617-2 Dialogue Act Annotation Scheme for Modelling Medical Consultations. In Proceedings of the Sixteenth Joint ISO – ACL SIGSEM Workshop on Interoperable Semantic Annotation (ISA-16), pp. 76—89.
  • Volha Petukhova, Firuza Sharifullaeva and Dietrich Klakow (2020) Authoring Negotiation Content and Programming Simulated Patients. In Proceedings of the International Workshop on Spoken Dialogue Systems Technology (ISWDS 2020), Madrid, Spain.

Ongoing projects:

Past projects:

Teaching

Multimodal Dialogue Systems SoSe 2020 (block seminar)

Proseminar Computational Pragmatics WiSe 2020/2021

Current students:

  • Ekaterina Saveleva (MSc) Discourse-Based Argumentation Mining (tentative title)
  • Martin Wolf (Bsc) Optimizing quantity and quality of retrieved information for QA application
  • Dominik Weber (BSc) Depression Detection from Multimodal Psychiatric Questionnaire (PHQ-8) based Interviews
  • Preeti Dolakasharia (MSc) Virtual Coach for Cognitive Wellbeing
  • Bahar Tarakameh (MSc) Integration of business process models into dialogue management: patient self-assessment use case
  • Firuza Sharifullaeva (MSc) Cognitive task modelling for therapy adherence dialogues
  • Nahid Akhtar (MSc) Interactive Question Answering to Access Medical Information and Services: Anesthesia Pre-assessment use case
  • Karolina Kume (MSc) Argument quality assessment: detecting and defeating polarization and opinion manipulation arguments in social media
  • Kang Ji (MSc) Modelling dependency relations between various dialogue units

Former students:

  • Tobias Mayer (BSc) Antwortextraktion fuer QA-Applikationen mittels automatish generierter Ontologien
  • Desmond Darma Putra (MSc) Answer Extraction Module for Question Answering Gaming Application
  • Humayun Faiz (MSc) Question Classification
  • Alexandr Chernov (MSc) Understanding Questions: Computing the Expected Answer Type (EAT)
  • Ramkumar Aruchamy (MSc) Design of Flexible Dialogue Management Strategies for Interactive Dialogue Systems
  • Manoj Raju (MSc) Automatic Detection and Classification of Beat Gestures in Argumentative Discourse
  • Dilafruz Amanova (MSc) Cross-Domain Dialogue Act Classification
  • Eustace Ebhotemhen (MSc) Incremental  Dialogue Act Classification
  • Valeria Lapina (MSc) Modality classification in multi-issue bargaining dialogues
  • Tobias Mayer (MSc) Argument Structure Mining: assessing argumentative behaviour in political debates