Stephen Wan
31 papers · 2004–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Renaissance Researcher (7) π Interdisciplinary Bridge π Academic Marathon (21) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (46)
πΊοΈ
Taxonomy Completionist
(46)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Century Club
(28)
β
The Questioner
π
Trend Setter
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(90)
Conferences
ACL (7)
EMNLP (6)
IJCNLP (5)
EACL (4)
AACL (3)
NAACL (3)
COLING (2)
NIPS (1)
Top co-authors
Keywords
large language model
(5)
information extraction
(4)
text classification
(4)
named entity recognition
(3)
scientific literature
(3)
copy mechanism
(3)
social media analysis
(2)
few-shot learning
(2)
domain adaptation
(2)
constrained text generation
(2)
zero-shot learning
(2)
scientific writing
(2)
natural language processing
(1)
claim verification
(1)
relation extraction
(1)
sentiment analysis
(1)
metric learning
(1)
in-context learning
(1)
summarization evaluation
(1)
dataset creation
(1)
Papers
Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SciLire System
EACL 2026
MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments
EACL 2026
On the Role of Context for Discourse Relation Classification in Scientific Writing
EMNLP 2025
A Position Paper on the Automatic Generation of Machine Learning Leaderboards
EMNLP 2025
Bridging the Gap: Instruction-Tuned LLMs for Scientific Named Entity Recognition
IJCNLP 2025
Bridging the Gap: Instruction-Tuned LLMs for Scientific Named Entity Recognition
AACL 2025
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?
NAACL 2024
CSIRO at Context24: Contextualising Scientific Figures and Tables in Scientific Literature
ACL 2024
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter
EMNLP 2024
Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts
IJCNLP 2023
Rethinking the Role of Entity Type in Relation Classification
IJCNLP 2023
impact of sample selection on in-context learning for entity extraction from scientific writing
EMNLP 2023
Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts
AACL 2023
Rethinking the Role of Entity Type in Relation Classification
AACL 2023
Investigating Metric Diversity for Evaluating Long Document Summarisation
COLING 2022
Measuring Similarity of Opinion-bearing Sentences
EMNLP 2021
Mention Flags (MF): Constraining Transformer-based Text Generators
ACL 2021
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
EACL 2021
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
NIPS 2021
Mention Flags (MF): Constraining Transformer-based Text Generators
IJCNLP 2021
Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction
NAACL 2021
Demonstrating the Reliability of Self-Annotated Emotion Data
NAACL 2021
How to Best Use Syntax in Semantic Role Labelling
ACL 2019
Demographic Inference on Twitter using Recursive Neural Networks
ACL 2017
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model
EACL 2009
In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context
ACL 2008
Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns
EMNLP 2008
GLEU: Automatic Evaluation of Sentence-Level Fluency
ACL 2007
Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality
IJCNLP 2005
Proceedings of the ACL Student Research Workshop
ACL 2005
Generating Overview Summaries of Ongoing Email Thread Discussions
COLING 2004