Rob Procter
14 papers · 2014–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(69)
Top co-authors
Research topics
Natural Language Processing
(8)
Machine Learning
(7)
Applications Β· Natural Language Processing
(7)
Core Methods
(5)
Deep Learning
(3)
Generation
(3)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Understanding
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Applications Β· Data Science & Analytics
(1)
Architectures
(1)
Keywords
topic modeling
(3)
unsupervised learning
(2)
topic coherence
(2)
stance detection
(2)
sentiment analysis
(2)
text classification
(2)
stance classification
(2)
abstractive summarization
(2)
twitter analysis
(2)
rumour detection
(2)
evaluation metric
(2)
social media analysis
(1)
natural language processing
(1)
question answering
(1)
rumor detection
(1)
data augmentation
(1)
interactive learning
(1)
natural language inference
(1)
multilingual summarization
(1)
domain adaptation
(1)
Papers
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling
COLING 2024
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System
EACL 2023
PANACEA: An Automated Misinformation Detection System on COVID-19
EACL 2023
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering
EMNLP 2022
Unsupervised Opinion Summarisation in the Wasserstein Space
EMNLP 2022
A Query-Driven Topic Model
ACL 2021
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
EMNLP 2021
Evaluation of Thematic Coherence in Microblogs
ACL 2021
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
SemEval 2017
TDParse: Multi-target-specific sentiment recognition on Twitter
EACL 2017
TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter
IJCNLP 2017
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
COLING 2016
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition
SemEval 2015
University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval
SemEval 2014