54 citations · 96 across the 14 of their papers we have counts for
10 papers · 1 filter
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
Thong Nguyen, Andrew Yates, Ayah Zirikly +2
Automated methods have been widely used to identify and analyze mental health conditions (e.g., depression) from various sources of information, including social media. Yet, deploy…
Language Models As or For Knowledge Bases
Simon Razniewski, Andrew Yates, Nora Kassner +1
Pre-trained language models (LMs) have recently gained attention for their potential as an alternative to (or proxy for) explicit knowledge bases (KBs). In this position paper, we…
STANCY: Stance Classification Based on Consistency Cues
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
Controversial claims are abundant in online media and discussion forums. A better understanding of such claims requires analyzing them from different perspectives. Stance classific…
Listening between the Lines: Learning Personal Attributes from Conversations
Anna Tigunova, Andrew Yates, Paramita Mirza +1
Open-domain dialogue agents must be able to converse about many topics while incorporating knowledge about the user into the conversation. In this work we address the acquisition o…
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Michael A. Hedderich, Andrew Yates, Dietrich Klakow +1
Popular word embedding methods such as word2vec and GloVe assign a single vector representation to each word, even if a word has multiple distinct meanings. Multi-sense embeddings…
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
Misinformation such as fake news is one of the big challenges of our society. Research on automated fact-checking has proposed methods based on supervised learning, but these appro…