no code implementations • ALTA 2020 • Abhishek Das, Wei Emma Zhang
Aspect-Based Sentiment Analysis (ABSA)has gained much attention in recent years.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 21 May 2024 • Xinyi Wang, Grazziela Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
The aim is to provide comprehensive and rich information for researchers interested in automatic clinical report generation and medical image analysis, especially when using multimodal inputs, and assist them in developing new algorithms to advance the field.
1 code implementation • 12 May 2024 • Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo
Multi-document summarization (MDS) generates a summary from a document set.
no code implementations • 2 Feb 2024 • Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi
Distractors are important in learning evaluation.
no code implementations • 18 Sep 2023 • Yang Zhang, YuFei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao
Such information could be incorporated into LLMs pre-training and improve the text representation in LLMs.
no code implementations • 6 Sep 2023 • Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue
Time series classification (TSC) has emerged as a critical task in various domains, and deep neural models have shown superior performance in TSC tasks.
no code implementations • 4 Aug 2023 • Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang
In this paper, we propose a framework, DHS-ConvQA (Dynamic History Selection in Conversational Question Answering), that first generates the context and question entities for all the history turns, which are then pruned on the basis of similarity they share in common with the question at hand.
no code implementations • 14 Apr 2023 • Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood
However, these sequential questions are sometimes left implicit and thus require the resolution of some natural language phenomena such as anaphora and ellipsis.
no code implementations • 27 Jan 2023 • Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri, Makhmoor Fiza
Despite the great development of document summarisation techniques nowadays, factual inconsistencies between the generated summaries and the original texts still occur from time to time.
no code implementations • 13 Sep 2022 • Congbo Ma, Wei Emma Zhang, Pitawelayalage Dasun Dileepa Pitawela, Yutong Qu, Haojie Zhuang, Hu Wang
One effective way is to encode document positional information to assist models in capturing cross-document relations.
1 code implementation • RepL4NLP (ACL) 2022 • Na Liu, Mark Dras, Wei Emma Zhang
Although deep neural networks have achieved state-of-the-art performance in various machine learning tasks, adversarial examples, constructed by adding small non-random perturbations to correctly classified inputs, successfully fool highly expressive deep classifiers into incorrect predictions.
no code implementations • 24 Apr 2022 • Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu
Knowledge-aware methods have boosted a range of natural language processing applications over the last decades.
no code implementations • 23 Sep 2021 • Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo
In this work, we develop a neural network based model which leverages dependency parsing to capture cross-positional dependencies and grammatical structures.
no code implementations • 2 Jun 2021 • Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang
Question answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data in natural languages.
no code implementations • 27 Apr 2021 • Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh
In this paper, we present a comprehensive survey of the latest research works (2015 and after) conducted in various categories of sleep monitoring including sleep stage classification, sleep posture recognition, sleep disorders detection, and vital signs monitoring.
no code implementations • 22 Apr 2021 • Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang
Building a dialogue system that can communicate naturally with humans is a challenging yet interesting problem of agent-based computing.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Deon Mai, Wei Emma Zhang
Aspect extraction is a widely researched field of natural language processing in which aspects are identified from the text as a means for information.
no code implementations • 10 Nov 2020 • Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents.
1 code implementation • ECCV 2020 • Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang
However, there are few works studying the data augmentation problem for VQA and none of the existing image based augmentation schemes (such as rotation and flipping) can be directly applied to VQA due to its semantic structure -- an $\langle image, question, answer\rangle$ triplet needs to be maintained correctly.
no code implementations • 14 Jun 2020 • Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
Finally, we study the attack strength and frequency of adversarial examples and evaluate our model on standard datasets with multiple crafting methods.
no code implementations • 28 Apr 2020 • Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao, Nguyen Lu Dang Khoa
In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applications is the Conversational Recommender System (CRS).
no code implementations • 11 Jun 2019 • Zawar Hussain, Michael Sheng, Wei Emma Zhang
We further divide these areas into ten different sub-topics and present the latest research work in these sub-topics.
1 code implementation • 21 Jan 2019 • Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li
In this article, we review research works that address this difference and generatetextual adversarial examples on DNNs.
no code implementations • 25 Dec 2018 • Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen H. Tran, Quan Z. Sheng
Specifically, we find that DAE parameters strongly affect the prediction accuracy of the recommender systems, and the effect is transferable to similar datasets in a larger size.