Our method is based on a structural expectation-maximization (structural EM) algorithm. It is the first computer-based method able to estimate general latent ...

We presented a new method for discovering latent tree structures for the analysis of textual variation. Unlike earlier methods, which typically produce ...

Dec 11, 2011 · Our method is based on a structural expectation-maximization (structural EM) algorithm. It is the first computer-based method able to estimate ...

Our method is based on a structural expectation-maximization (structural EM) algorithm. It is the first computer-based method able to estimate general latent ...

Our method is based on a structural expectation-maximization (structural EM) algorithm. It is the first computer-based method able to estimate general latent ...

Dec 11, 2011 · We present experiments on two well known benchmark data sets, showing that the new method outperforms current state-of-the-art both in terms of ...

Mar 24, 2023 · Bibliographic details on Analysis of Textual Variation by Latent Tree Structures.

We introduce Semstem, a new method for the reconstruction of so called stemmatic trees, i.e., trees encoding the copying relationships among a set of ...

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set ...

Jul 28, 2019 · Latent structure models are a powerful tool for modeling compositional data, discovering linguis- tic structure, and building NLP pipelines ...