Hi, I am a PhD Candidate at the NLP and Society Lab at Utrecht University with Dong Nguyen. I study social phenomena via natural language processing (NLP) methods. I focus on the analysis of (online) conversations. Previously, I completed my master’s and bachelor’s degree at RWTH Aachen University in computer science and mathematics respectively.
I am studying conversations. For now, mostly online conversations as this is where the data lies. Questions I am interested in include: Do people talk in a, to them, specific style? If so, can we use this to verify whether two utterances have been written by the same person (e.g., Style Change Detection)? How does speaking style change, e.g., over the course of a conversation (see linguistic accommodation) or given different situations? How does style correlate with “conversation quality”? What even is a good conversation? etc.
Conversation topics I am especially interested in are those where the participating parties have conflicting interests. This can be topics like climate change, pensions or the corona virus.
Interested in doing a Bachelor’s or Master’s Thesis with me? Great. Please contact me via my uu mail. : )
Current topics I would find interesting to develop further with you are:
- Conversation quality (see, e.g., Conversations gone awry)
- Intimacy (e.g., see Quantifiying Intimacy in Language) – Questions could include “Does intimacy improve a conversation?”, “In which conversation do people show intimacy?”
- flow – How to measure “conversational flow”?
- linguistic accommodation
- Conflict conversations – Detection, Resolving, Strategies (e.g., see Conversational Receptiveness)
- Intrinsic plagiarism detection (see, e.g. Is writing style predicitve of scientific fraud?) – Topics could be about improving detection algorithms, finding features relating to fraud, finding areas that are especially susceptible to fraud, …
- Gender Bias in Fiction (e.g., Analyzing Gender Bias within Narrative Tropes) – How does popular culture influence popular belief?
I presented our paper “Detecting Different Forms of Semantic Shift in Word Embeddings via Paradigmatic and Syntagmatic Association Changes” at the International Semantic Web Conference 2020. The research for this paper was done during my master’s thesis with Markus Strohmaier and Florian Lemmerich at the CSSH group at RWTH Aachen University. See the video here.