ATIS деректер жиынтығы

We propose recurrent support vector machine (RSVM) for slot tagging. This model is a combi- nation of the recurrent neural network (RNN) and the structured support vector machine. RNN extracts …...

AbstractTasks like code generation and semantic parsing require mapping unstructured (or partially structured) inputs to well-formed, executable outputs. We introduce abstract syntax networks, a modeling framework for these problems. The …...

AbstractSemantic parsing converts natural language queries into structured logical forms. The lack of training data is still one of the most serious problems in this area. In this work, we …...

AbstractIn this paper, we present a multi-level alignment pretraining method in a unified architecture formulti-lingual semantic parsing. In this architecture, we use an adversarial training method toalign the space of …...

AbstractThe Natural Language Understanding (NLU) component in task oriented dialog systems processes a user’s request and converts it into structured information that can be consumed by downstream components such as …...

Code generation is the task of generating code snippets from input user specifications in nat- ural language. Leveraging the linguistically- motivated hierarchical structure of the input can benefit code generation, …...

AbstractSpoken language understanding, usually including intent detection and slot filling, is a core component to build a spoken dialog system. Recent research shows promising results by jointly learning of those …...