Fast Forward Through Opportunistic Incremental Meaning Representation Construction
نویسندگان
چکیده
One of the challenges semantic parsers face involves upstream errors originating from pre-processing modules such as ASR and syntactic parsers, which undermine the end result from the get go. We report the work in progress on a novel incremental semantic parsing algorithm that supports simultaneous application of independent heuristics and facilitates the construction of partial but potentially actionable meaning representations to overcome this problem. Our contribution to this point is mainly theoretical. In future work we intend to evaluate the algorithm as part of a dialogue understanding system on state of the art benchmarks.
منابع مشابه
Bootstrap Dialog: A Conversational English Text Parsing and Generation System
A conversational English text parsing and generation system is described in which its lexicon and construction grammar rules are revised, augmented, and improved via dialog with mentors. Both the parser and generator operate in a cognitively plausible, incremental manner. Construction Grammar is well suited for a precise and robust dialog system due to its emphasis on pairing utterance form wit...
متن کاملReuse of Adaptive Software through Opportunistic Parameterization
The paper introduces opportunistic parameterization as a new way for class structure reuse in object-oriented environments. We suggest incremental construction of parameterized classes using class structure constraints. That is, at any time in the life cycle of a class structure, it can be declared that the class structure or a part of it will be parameterized and what the parameters would be. ...
متن کاملIncremental Semantics for Dialogue Processing: Requirements, and a Comparison of Two Approaches
Truly interactive dialogue systems need to construct meaning on at least a word-by-word basis. We propose desiderata for incremental semantics for dialogue models and systems, a task not heretofore attempted thoroughly. After laying out the desirable properties we illustrate how they are met by current approaches, comparing two incremental semantic processing frameworks: Dynamic Syntax enriched...
متن کاملEvolutionary Design of Application Tailored Neural Networks
| First, an evolutionary algorithm for designing a single hidden layer feedfor-ward neural networks is proposed. The algorithm constructs a problem tailored neu-ral network by incremental introduction of new hidden units. Each new hidden unit is added to the network by linear partitioning of the hidden-layer representation through a genetic search. Second, a two stage algorithm speed-up is achi...
متن کاملIncremental Nth Best Relay Selection with Code Based Relay Construction in Fading Channel
Transmission of data through a channel will be subjected to lot of noises and fading effects. Because of this there will be lot of errors in received data. Taking this into consideration, in this paper, we consider incremental amplify-and-forward (AF) relaying technique which employ the Nth best relay when the best relay is unavailable due to issues such as scheduling or load balancing. We are ...
متن کامل