Conflibert: A pre-trained language model for political conflict and violence
Analyzing conflicts and political violence around the world is a persistent challenge in the
political science and policy communities due in large part to the vast volumes of specialized …
political science and policy communities due in large part to the vast volumes of specialized …
Bert has more to offer: Bert layers combination yields better sentence embeddings
Obtaining sentence representations from BERT-based models as feature extractors is
invaluable as it takes much less time to pre-compute a one-time representation of the data …
invaluable as it takes much less time to pre-compute a one-time representation of the data …
Controllable fake document infilling for cyber deception
Recent works in cyber deception study how to deter malicious intrusion by generating
multiple fake versions of a critical document to impose costs on adversaries who need to …
multiple fake versions of a critical document to impose costs on adversaries who need to …
Conflibert-spanish: A pre-trained spanish language model for political conflict and violence
This article introduces ConfliBERT-Spanish, a pre-trained language model specialized in
political conflict and violence for text written in the Spanish language. Our methodology …
political conflict and violence for text written in the Spanish language. Our methodology …
Confli-t5: An autoprompt pipeline for conflict related text augmentation
Recent advances in natural language processing (NLP) and Big Data technologies have
been crucial for scientists to analyze political unrest and violence, prevent harm, and …
been crucial for scientists to analyze political unrest and violence, prevent harm, and …
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
Is it possible accurately classify political relations within evolving event ontologies without
extensive annotations? This study investigates zero-shot learning methods that use expert …
extensive annotations? This study investigates zero-shot learning methods that use expert …
Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT
Recent supervised models for event coding vastly outperform pattern-matching methods.
However, their reliance solely on new annotations disregards the vast knowledge within …
However, their reliance solely on new annotations disregards the vast knowledge within …
Rethinking the event coding pipeline with prompt entailment
C Lefebvre, N Stoehr - arXiv preprint arXiv:2210.05257, 2022 - arxiv.org
For monitoring crises, political events are extracted from the news. The large amount of
unstructured full-text event descriptions makes a case-by-case analysis unmanageable …
unstructured full-text event descriptions makes a case-by-case analysis unmanageable …
Deep Active Learning for Data Mining from Conflict Text Corpora
M Croicu - arXiv preprint arXiv:2402.01577, 2024 - arxiv.org
High-resolution event data on armed conflict and related processes have revolutionized the
study of political contention with datasets like UCDP GED, ACLED etc. However, most of …
study of political contention with datasets like UCDP GED, ACLED etc. However, most of …
Transfer Learning and Uncertainty Quantification in Natural Language Processing for Political Science and Cyber Security
Y Hu - 2023 - search.proquest.com
Abstract Recent advancements in Natural Language Processing (NLP) driven by pretrained
language models have revolutionized various fields reliant on large-scale text-based …
language models have revolutionized various fields reliant on large-scale text-based …