Rob Procter
16 papers · 2014–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (6) π Academic Marathon (10) πΊοΈ Taxonomy Completionist (31)
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
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Trend Setter
ποΈ
Keyword Collector
(72)
π
Century Club
(16)
β‘
Prolific Year
(5)
Conferences
EACL (3)
EMNLP (3)
IJCNLP (3)
SEMEVAL (3)
ACL (2)
COLING (2)
Top co-authors
Keywords
topic modeling
(3)
microblog clustering
(2)
topic coherence
(2)
text generation metric
(2)
sentiment analysis
(2)
unsupervised learning
(2)
abstractive summarization
(2)
evaluation metric
(2)
stance classification
(2)
twitter analysis
(2)
rumour detection
(2)
thematic coherence
(2)
stance detection
(2)
topic model
(2)
text classification
(2)
question answering
(1)
social media analysis
(1)
natural language processing
(1)
rumor detection
(1)
data augmentation
(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
Evaluation of Thematic Coherence in Microblogs
ACL 2021
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
IJCNLP 2021
A Query-Driven Topic Model
IJCNLP 2021
TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter
IJCNLP 2017
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
SEMEVAL 2017
TDParse: Multi-target-specific sentiment recognition on Twitter
EACL 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