2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute of High Performance ComputingSG402 papers
- National University of SingaporeSG364 papers
- Nanyang Technological UniversitySG280 papers
- Institute for Infocomm ResearchSG266 papers
- Institute of Materials Research and EngineeringSG173 papers
- Data Storage InstituteSG90 papers
- Singapore University of Technology and DesignSG70 papers
- Centre for Quantum TechnologiesSG40 papers
- Chinese Academy of SciencesCN33 papers
- Australian National UniversityAU27 papers
- Massachusetts Institute of TechnologyUS27 papers
- Bioinformatics InstituteSG25 papers
7 papers · 2 filters
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang +1
Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a piece of text, e.g., a sentence or a dialogue. When the given text is long, it is c…
An Embarrassingly Simple Model for Dialogue Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang +2
Dialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue. In this paper, we propose a simple yet effective model named SimpleRE for…
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis
Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong
Neural attention, especially the self-attention made popular by the Transformer, has become the workhorse of state-of-the-art natural language processing (NLP) models. Very recent…
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features
Gangeshwar Krishnamurthy, Raj Kumar Gupta, Yinping Yang
This paper describes a system developed for detecting propaganda techniques from news articles. We focus on examining how emotional salience features extracted from a news segment…
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes
Raj Kumar Gupta, Ajay Vishwanath, Yinping Yang
This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collecte…
Efficient Constituency Parsing by Pointing
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty +1
We propose a novel constituency parsing model that casts the parsing problem into a series of pointing tasks. Specifically, our model estimates the likelihood of a span being a leg…
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
Hung Le, Doyen Sahoo, Chenghao Liu +2
Building an end-to-end conversational agent for multi-domain task-oriented dialogues has been an open challenge for two main reasons. First, tracking dialogue states of multiple do…