Natural language understanding
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We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from… Expand This paper presents a new Unified pre-trained Language Model (UniLM) that can be fine-tuned for both natural language… Expand In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple natural language… Expand Human ability to understand language is general, flexible, and robust. In contrast, most NLU models above the word level are… Expand Natural language understanding comprises a wide range of diverse tasks such as textual entailment, question answering, semantic… Expand This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation… Expand I focus on three characteristics of natural language understanding systems that incorporate the properties that make humans able… Expand Contents: What Is Pragmatics, and Why Do I Need to Know, Anyway? Indexicals and Anaphora: Contextually Identifiable… Expand From the Publisher:
In addition, this title offers coverage of two entirely new subject areas. First, the text features a new… Expand Abstract This paper describes a computer system for understanding English. The system answers questions, executes commands, and… Expand