Andreas Vlachos

DeliData: A dataset for deliberation in multi-party problem solving

2021

Dialogue systems research is traditionally focused on dialogues between two interlocutors, largely ignoring group conversations. Moreover, most previous research is focused either on task-oriented dialogue (e.g. restaurant bookings) or user engagement (chatbots), while research on …

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web

2023 · arXiv (Cornell University)

Existing datasets for automated fact-checking have substantial limitations, such as relying on artificial claims, lacking annotations for evidence and intermediate reasoning, or including evidence published after the claim. In this paper we introduce AVeriTeC, a …

What makes you change your mind? An empirical investigation in online group decision-making conversations

2022

People leverage group discussions to collaborate in order to solve complex tasks, e.g. in project meetings or hiring panels. By doing so, they engage in a variety of conversational strategies where they try to convince …

FEVER: a Large-scale Dataset for Fact Extraction and VERification

2018

James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation

2018

Recent work on abstractive summarization has made progress with neural encoder-decoder architectures.However, such models are often challenged due to their lack of explicit semantic modeling of the source document and its summary.In this paper, we …