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Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure

Description:

Language models are the foundation of many natural language tasks such as machine translation, speech recognition, and dialogue systems. Modeling the probability distributions of text accurately helps capture the structures of language and extract valuable information contained in various corpora. In recent years, many advanced models have achieved state-of-the-art performance...

Subject:

Artificial intelligence, Statistics, and Computer science

Creator:

Ju, Wei

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/02/2022

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_863369 and http://dissertations.umi.com/northwestern:15867
Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling

Description:

Modeling human language is at the very frontier of machine learning and artificial intelligence. Statistical language models are probabilistic models that assign probabilities to sequences of words. For example, topic models are frequently used text-mining tools to organize a vast set of unstructured documents by exploring their theme structure. More...

Keyword:

definition modeling, statistical language models, deep learning, nonparametric Bayesian model, community detection, and neural language models

Subject:

Artificial intelligence, Statistics, and Computer science

Creator:

Zhu, Ruimin

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_685529 and http://dissertations.umi.com/northwestern:14809

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Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure

Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling

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