Search Results for author: Gabriele Pergola

Found 18 papers, 12 papers with code

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study

1 code implementation24 Feb 2024 Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He

With the advent of large language models (LLMs), there has been growing interest in exploring their potential for medical applications.

Data Augmentation Event Extraction

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

1 code implementation16 Aug 2023 Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, Yunsheng Wu

We propose MemoChat, a pipeline for refining instructions that enables large language models (LLMs) to effectively employ self-composed memos for maintaining consistent long-range open-domain conversations.

Memorization Retrieval

Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering

1 code implementation8 May 2023 Junru Lu, Gabriele Pergola, Lin Gui, Yulan He

In particular, we define event-related knowledge constraints based on the event trigger annotations in the QA datasets, and subsequently use them to regularize the posterior answer output probabilities from the backbone pre-trained language models used in the QA setting.

Language Modelling Question Answering +1

NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization

1 code implementation11 Feb 2023 Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola

In this work, we propose a summarize-then-simplify two-stage strategy, which we call NapSS, identifying the relevant content to simplify while ensuring that the original narrative flow is preserved.

Semantic Similarity Semantic Textual Similarity +2

Event Temporal Relation Extraction with Bayesian Translational Model

no code implementations10 Feb 2023 Xingwei Tan, Gabriele Pergola, Yulan He

Existing models to extract temporal relations between events lack a principled method to incorporate external knowledge.

Bayesian Inference Relation +2

Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation

1 code implementation24 Oct 2022 Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, Yulan He

Our proposed model utilizes an invertible transformation matrix to project semantic vectors of events into a common event embedding space, trained with contrastive learning, and thus naturally inject event semantic knowledge into mainstream QA pipelines.

Contrastive Learning Question Answering +2

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

1 code implementation22 Oct 2022 Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He

The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions.

Event Extraction

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media

1 code implementation NAACL 2022 Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He

Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated data.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

Extracting Event Temporal Relations via Hyperbolic Geometry

1 code implementation EMNLP 2021 Xingwei Tan, Gabriele Pergola, Yulan He

Recent neural approaches to event temporal relation extraction typically map events to embeddings in the Euclidean space and train a classifier to detect temporal relations between event pairs.

Natural Language Understanding Relation +1

Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction

1 code implementation ACL 2021 Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He

To investigate the degree of reliance of existing ECE models on clause relative positions, we propose a novel strategy to generate adversarial examples in which the relative position information is no longer the indicative feature of cause clauses.

Emotion Cause Extraction Position

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

1 code implementation ACL 2021 Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He

Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intricate transition patterns between the affective states.

Emotion Recognition in Conversation

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

no code implementations EACL 2021 Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He

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

Domain Adaptation Question Answering +1

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

no code implementations EACL 2021 Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He

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

A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews

1 code implementation NAACL 2021 Gabriele Pergola, Lin Gui, Yulan He

The flexibility of the inference process in Variational Autoencoders (VAEs) has recently led to revising traditional probabilistic topic models giving rise to Neural Topic Models (NTMs).

Disentanglement Sentiment Analysis +2

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

no code implementations22 Nov 2019 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.

Topic Models Word Embeddings

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

no code implementations18 Aug 2019 Gabriele Pergola, Lin Gui, Yulan He

We propose a topic-dependent attention model for sentiment classification and topic extraction.

Classification General Classification +3

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