Search Results for author: Zihao Fu

Found 13 papers, 6 papers with code

BAND: Biomedical Alert News Dataset

1 code implementation23 May 2023 Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David Buckeridge, Nigel Collier

Infectious disease outbreaks continue to pose a significant threat to human health and well-being.

Epidemiology named-entity-recognition +3

Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization

1 code implementation22 May 2023 Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier

To alleviate the need of human effort, dictionary-based approaches have been proposed to extract named entities simply based on a given dictionary.

named-entity-recognition Named Entity Recognition

COFFEE: A Contrastive Oracle-Free Framework for Event Extraction

no code implementations25 Mar 2023 Meiru Zhang, Yixuan Su, Zaiqiao Meng, Zihao Fu, Nigel Collier

In this study, we consider a more realistic setting of this task, namely the Oracle-Free Event Extraction (OFEE) task, where only the input context is given without any oracle information, including event type, event ontology and trigger word.

Event Extraction

A Stability Analysis of Fine-Tuning a Pre-Trained Model

no code implementations24 Jan 2023 Zihao Fu, Anthony Man-Cho So, Nigel Collier

The theoretical bounds explain why and how several existing methods can stabilize the fine-tuning procedure.

Informative Text Generation from Knowledge Triples

no code implementations26 Sep 2022 Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam

As the development of the encoder-decoder architecture, researchers are able to study the text generation tasks with broader types of data.

Text Generation

A Theoretical Analysis of the Repetition Problem in Text Generation

1 code implementation29 Dec 2020 Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

The experimental results show that our theoretical framework is applicable in general generation models and our proposed rebalanced encoding approach alleviates the repetition problem significantly.

Text Generation

Dynamic Topic Tracker for KB-to-Text Generation

no code implementations COLING 2020 Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel

Recently, many KB-to-text generation tasks have been proposed to bridge the gap between knowledge bases and natural language by directly converting a group of knowledge base triples into human-readable sentences.

Sentence Text Generation

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings

no code implementations ACL 2018 Bei Shi, Zihao Fu, Lidong Bing, Wai Lam

Given reviews from different domains, some existing methods for word embeddings exploit sentiment information, but they cannot produce domain-sensitive embeddings.

Data Augmentation General Classification +4

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