221 citations · 645 across the 25 of their papers we have counts for
10 papers · 1 filter
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel +3
Sentence representations are a critical component in NLP applications such as retrieval, question answering, and text classification. They capture the meaning of a sentence, enabli…
Constructing and Interpreting Causal Knowledge Graphs from News
Fiona Anting Tan, Debdeep Paul, Sahim Yamaura +2
Many financial jobs rely on news to learn about causal events in the past and present, to make informed decisions and predictions about the future. With the ever-increasing amount…
GPTScore: Evaluate as You Desire
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang +1
Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the u…
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Lin Xu, Qixian Zhou, Jinlan Fu +2
Knowledge-grounded dialog systems need to incorporate smooth transitions among knowledge selected for generating responses, to ensure that dialog flows naturally. For document-grou…
UniCausal: Unified Benchmark and Repository for Causal Text Mining
Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
Current causal text mining datasets vary in objectives, data coverage, and annotation schemes. These inconsistent efforts prevent modeling capabilities and fair comparisons of mode…
Syntax-informed Question Answering with Heterogeneous Graph Transformer
Fangyi Zhu, Lok You Tan, See-Kiong Ng +1
Large neural language models are steadily contributing state-of-the-art performance to question answering and other natural language and information processing tasks. These models…
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification
Yang Xiao, Jinlan Fu, See-Kiong Ng +1
In this paper, we ask the research question of whether all the datasets in the benchmark are necessary. We approach this by first characterizing the distinguishability of datasets…
Polyglot Prompt: Multilingual Multitask PrompTraining
Jinlan Fu, See-Kiong Ng, Pengfei Liu
This paper aims for a potential architectural improvement for multilingual learning and asks: Can different tasks from different languages be modeled in a monolithic framework, i.e…
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks
Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
Vision outlooker improves the performance of vision transformers, which implements a self-attention mechanism by adding an outlook attention, a form of local attention. In natural…
NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection
Fiona Anting Tan, See-Kiong Ng
Automatic identification of cause-effect spans in financial documents is important for causality modelling and understanding reasons that lead to financial events. To exploit the o…