An Economy-based Amendment to Learning Hidden Structure with Robust Interpretive Parsing

Robust Interpretive Parsing in Metrical Stress Theory

Robust Parsing Using A Hidden Markov Model

Abs t rac t . Recent approaches to statistical parsing include those that estimate an approximation of a stochastic, lexicalised gr~mm~x directly from a treebank and others that rebuild trees with a number of trse-coustructing operators, which are applied in order according to a stochastic model when parsing a sentence. In this paper we take an ehtirely di~erent approach to statistical parsing,...

Parsing With Dependency Relations And Robust Parsing

After a short recall of our view of dependency grammars, we present two dependency parsers. The first uses dependency relations to have a more concise expression of dependency rules and to get efficiency in parsing. The second uses typed feature structures to add some semantic knowledge on dependency trees and parses in a more robust left to right manner.

Interpretive Economy , Schelling Points , and evolutionary stability ∗

I attempt to show that Kennedy’s (2007) Interpretive Economy principle follows from basic assumptions about cognitive prominence and evolutionary stability.

Dependency Parsing with Energy-based Reinforcement Learning

We present a model which integrates dependency parsing with reinforcement learning based on Markov decision process. At each time step, a transition is picked up to construct the dependency tree in terms of the long-run reward. The optimal policy for choosing transitions can be found with the SARSA algorithm. In SARSA, an approximation of the stateaction function can be obtained by calculating ...