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Topics in Statistical Modeling for Unstructured Text Data with Application to Commonsense Inference

Description:

Commonsense inference is a critical capability of modern artificial intelligence (AI) systems. The machines need commonsense knowledge to perform tasks exactly like human being does. Learning commonsense inference from text has been a long standing challenge in the field of natural language processing due to reporting bias -- people do...

Keyword:

data augmentation, commonsense inference, statistical modeling in text data, NLP, deep learning, and language modeling

Subject:

Statistics and Computer science

Creator:

Yang, Yiben

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15163 and etdadmin_upload_750023
Inspecting and Directing Neural Language Models

Description:

The ability of a machine to synthesize textual output in a form of human language is a long-standing goal in a field of artificial intelligence and has wide-range of applications such as spell correction, speech recognition, machine translation, abstractive summarization, etc. The statistical approach to enable such ability mainly involves...

Keyword:

language generation, machine learning, natural language processing, deep learning, dictionary definitions, and language modeling

Subject:

Electrical and Computer Engineering

Creator:

Thanapon Noraset

Owner:

Scholarly Digital Publishing

Date Uploaded:

04/01/2019

Date Modified:

04/01/2019

Date Created:

2018-01-01

Resource Type:

Dissertation

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