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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

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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