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Parsing techniques based on rules defining grammaticality are difficult to use with authentic inputs, which are often grammatically messy. Instead, the APRIL system seeks a labelled tree su~cture which maximizes …...

The resolution of lexical ambiguity is important for most nat- ural language processing tasks, and a range of computational techniques have been proposed for its solution. None of these has …...

The resolution of lexical ambiguity is important for most natural language process- ing tasks, and a range of computational techniques have been proposed for its solu- tion. None of these …...

This paper describes a method for the automatic align- ment of parallel texts at clause level. The method fea- tures statistical techniques coupled with shallow linguis- tic processing. It presupposes …...

The purpose of this study is to develop one solution to the speech inverse filtering problem. A new efficient articulatory speech analysis scheme, identifying the articulatory parameters from the acoustic …...

The aim of this research was to develop a flexible, high quality articulatory speech synthesis tool. One feature of this research tool is the simulated annealing optimization procedure that is …...

In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The proposed framework leverages on the strengths of pre- vious system combination …...

. In this article, we present the notions of local and global algorithms, for the word sense disambiguation of texts. A local algorithm allows to calculate the semantic similarity between …...

Most web search results clustering (SRC) strategies have predominantly studied the definition of adapted representation spaces to the detriment of new clustering techniques to improve perfor- mance. In this paper, …...

AbstractIn this paper, we propose using metaheuristics—in particular, simulated annealing and the new D-Bees algorithm—to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system. We …...

AbstractEvent Argument Extraction (EAE) aims at predicting event argument roles of entities in text, which is a crucial subtask and bottleneck of event extraction. Existing EAE methods either extract each …...

AbstractEvent trigger detection, entity mention recognition, event argument extraction, and relation extraction are the four important tasks in information extraction that have been performed jointly (Joint Information Extraction - JointIE) …...