In this article, we study the quantified constraint satisfaction problem (QCSP) over infinite domains. We develop a technique called collapsibility that allows one to give strong c...
Abstract. We introduce new and general complexity theoretic hardumptions. These assumptions abstract out concrete properties of a random oracle and are significantly stronger than ...
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Large-scale parsing is still a complex and timeconsuming process, often so much that it is infeasible in real-world applications. The parsing system described here addresses this ...