activity
20192024
most citedTopic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

11 citations · 15 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL20221 cited

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

Zhaoyue Sun, Jiazheng Li, Gabriele Pergola +5

The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimatel…

cs.CL202111 cited

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

Lixing Zhu, Gabriele Pergola, Lin Gui +2

Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intr…

cs.CL20211 cited

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies

Gabriele Pergola, Elena Kochkina, Lin Gui +2

Biomedical question-answering (QA) has gained increased attention for its capability to provide users with high-quality information from a vast scientific literature. Although an i…

cs.LG2021

Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews

Runcong Zhao, Lin Gui, Gabriele Pergola +1

In this paper, we propose the Brand-Topic Model (BTM) which aims to detect brand-associated polarity-bearing topics from product reviews. Different from existing models for sentime…

cs.CL2020

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering

Junru Lu, Gabriele Pergola, Lin Gui +2

We introduce CHIME, a cross-passage hierarchical memory network for question answering (QA) via text generation. It extends XLNet introducing an auxiliary memory module consisting…

cs.CL20192 cited

Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context

Gabriele Pergola, Yulan He, David Lowe

Making sense of words often requires to simultaneously examine the surrounding context of a term as well as the global themes characterizing the overall corpus. Several topic model…