Search Results for author: Zili Zhou

Found 6 papers, 2 papers with code

SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis

1 code implementation NAACL 2022 Zheng Zhang, Zili Zhou, Yanna Wang

Furthermore, to combine syntactic structure and semantic information, we equip the attention score matrices by syntactic mask matrices.

Aspect-Based Sentiment Analysis

Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives

no code implementations2 Aug 2022 Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas

Entailment trees have been proposed to simulate the human reasoning process of explanation generation in the context of open--domain textual question answering.

Explanation Generation Question Answering

Transformers and the representation of biomedical background knowledge

no code implementations4 Feb 2022 Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas

Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora.

PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics

1 code implementation12 Jan 2022 Jordan Meadows, Zili Zhou, Andre Freitas

In order for language models to aid physics research, they must first encode representations of mathematical and natural language discourse which lead to coherent explanations, with correct ordering and relevance of statements.

Sentence Ordering

Encoding Explanatory Knowledge for Zero-shot Science Question Answering

no code implementations IWCS (ACL) 2021 Zili Zhou, Marco Valentino, Donal Landers, Andre Freitas

This paper describes N-XKT (Neural encoding based on eXplanatory Knowledge Transfer), a novel method for the automatic transfer of explanatory knowledge through neural encoding mechanisms.

Science Question Answering Transfer Learning

Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction

no code implementations5 Feb 2020 Mingchen Li, Zili Zhou, Yanna Wang

By using them, we found that these word networks have low accuracy and coverage, and cannot completely portray the semantic network of PWN.

BIG-bench Machine Learning Word Sense Disambiguation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.