10 citations · 45 across the 14 of their papers we have counts for
7 papers · 1 filter
Automatic Evaluation of Neural Personality-based Chatbots
Yujie Xing, Raquel Fernández
Stylistic variation is critical to render the utterances generated by conversational agents natural and engaging. In this paper, we focus on sequence-to-sequence models for open-do…
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
Ravi Shekhar, Aashish Venkatesh, Tim Baumgärtner +4
We propose a grounded dialogue state encoder which addresses a foundational issue on how to integrate visual grounding with dialogue system components. As a test-bed, we focus on t…
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue
Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández
We investigate how encoder-decoder models trained on a synthetic dataset of task-oriented dialogues process disfluencies, such as hesitations and self-corrections. We find that, co…
Semantic Variation in Online Communities of Practice
Marco Del Tredici, Raquel Fernández
We introduce a framework for quantifying semantic variation of common words in Communities of Practice and in sets of topic-related communities. We show that while some meaning shi…
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities
Marco Del Tredici, Raquel Fernández
We investigate the birth and diffusion of lexical innovations in a large dataset of online social communities. We build on sociolinguistic theories and focus on the relation betwee…
Ask No More: Deciding when to guess in referential visual dialogue
Ravi Shekhar, Tim Baumgartner, Aashish Venkatesh +3
Our goal is to explore how the abilities brought in by a dialogue manager can be included in end-to-end visually grounded conversational agents. We make initial steps towards this…
Examining a hate speech corpus for hate speech detection and popularity prediction
Filip Klubička, Raquel Fernández
As research on hate speech becomes more and more relevant every day, most of it is still focused on hate speech detection. By attempting to replicate a hate speech detection experi…