Semantic processing using the hidden vector state model Y He, S Young – Computer speech & language, 2005 – Elsevier Semantic processing is one of the key elements in spoken dialogue systems. Incremental parsing with reference interaction SC Stoness, J Tetreault, J Allen – Proceedings of the Workshop on …, 2004 – dlacmorg 3. 1 An Incremental Parser The pre-existing parser in the dialogue system was a pure bottom-up chart parser with a hand-built gram- mar suited for parsing task-oriented dialogue. Interleaving syntax and semantics in an efficient bottom-up parser. H Ye, S Young – INTERSPEECH, 2006 – Citeseer The target application area for the type of semantic decoding being described in this paper is limited domain spoken dialog systems. , “Interleav- ing syntax and semantics in an efficient bottom-up parser”, In Proc. Statistical approach to the semantic analysis of spoken dialogues F Jurcicek – 2007 – Citeseer 2003. 36, Interleaving syntax and semantics in an efficient bottom-up parser – Dowding, Moore, et al. The most famous is the multilingual dialog system [2, 19] that has been developed at the University of West Bohemia, Plzefi. 34, Verbmobil: The Use of Prosody in the Linguistic Components of a Speech Understanding System – Nöth, Batliner, et al. Idea of the atomic application As mentioned above, one of the biggest problems with NL dialog systems is the number states. SUPPLE is a bottom-up parser that constructs syntax trees and logical forms for English sentences. Discriminative training of the hidden vector state model for semantic parsing D Zhou, Y He – … and Data Engineering, IEEE Transactions on, 2009 – ieeexploreieeeorg Page 1. Natural language parsing using Fuzzy Simple LR (FSLR) parser SG Kanakaraddi, V Ramaswamy – … Conference (IACC), 2014 …, 2014 – ieeexploreieeeorg V Ramaswamy BIET Davangere, India drvr@biet. An important aspect of spoken dialogue systems is the natural language understanding component. Advanced Dialogue Systems: Some Case Studies MF McTear – Spoken Dialogue Technology, 2004 – Springer Page 1. Increasing robustness, reliability and ergonomics in speech interfaces for aerial control systems J Ferreiros, R San-Segundo, R Barra… – Aerospace Science and …, 2009 – Elsevier The WITAS project uses the SRI GEMINI parser . It is a natural language processing engine that applies a set of syntactic and semantic grammar rules to a word string using a bottom–up parser to generate a logical form. info If SLMs are used in a dialog system along with late integration of multi- modal acts, robust semantic parsing of speech recognition output is necessary. Chapter 3 contains work on semantic parsing for an English dialogue system designed for a tourist information task. This work surveys the state of the art of speech dialogue systems. The interface consists of a context-free grammar (CFG) bottom-up parser and a dialog system that help the programmer create both a system model and a set of LSC scenarios. Two approaches to robust stochastic parsing M Ailomaa – 2004 – infoscienceepflch A common use of natural language processing is within systems that use speech recognition, for example dialogue systems for customer support and conversational interfaces for databases. [BOOK] Errors and intelligence in computer-assisted language learning: Parsers and pedagogues T Heift, M Schulze – 2007 – booksgooglecom Page 1. Mellish (1989) suggested running a top-down parser after a bottom-up parser has failed to come up with a successful analysis of the input. To test syntax rules a bottom-up parser engine is being developed as well. 1 shows an overview of the system, which includes a bottom-up parser for a controlled language, a word-sense disambiguation module, and a semantic interpreter.