Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
L Castro-Gonzalez, YL Chung, HR Kirk… - arXiv preprint arXiv …, 2024 - arxiv.org
The field of machine learning has recently made significant progress in reducing the
requirements for labelled training data when building new models. Thesecheaper'learning …
requirements for labelled training data when building new models. Thesecheaper'learning …
Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter
Who sets the policy agenda? Much political science research has been dedicated to
investigating the influences at work in policy processes. This paper looks at the actors …
investigating the influences at work in policy processes. This paper looks at the actors …
OpBerg: Discovering causal sentences using optimal alignments
The biological literature is rich with sentences that describe causal relations. Methods that
automatically extract such sentences can help biologists to synthesize the literature and …
automatically extract such sentences can help biologists to synthesize the literature and …
[图书][B] Knowledge discovery from biomedical and scientific text
J Wood - 2022 - search.proquest.com
The world is overflowing with text. This ever-growing resource has the ability to capture
thoughts, ideas, and understandings. One example is the scientific research paper which …
thoughts, ideas, and understandings. One example is the scientific research paper which …