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Highly frequent in language and communication, metaphor represents a significant challenge for Natural Language Processing (NLP) applications. Computational work on metaphor has traditionally evolve...
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
In this article, we present a language-independent, unsupervised approach to sentence boundary detection. It is based on the assumption that a large number of ambiguities in the determination of sente...
In contrast, a state-of-the-art natural language generation (NLG) system would likely be able to produce only one of them, modulo variations introduced by, for example, passivization, topicalization,...
In general, maps should answer a very simple question of its reader: "what's there" and 剋here is something? For planetary maps, the answer is more difficult, because (1) in some cases even map makers...
Asgard: A Portable Architecture for Multilingual Dialogue Systems.
In this paper, we explore multilingual feature-level data sharing via Deep Neural Network (DNN) stacked bottleneck features. Given a set of available source languages, we apply language identification...
Spoken dialogue systems have been studied for years, yet portability is still one of the biggest challenges in terms of language extensibility, domain scalability, and platform compatibility. In this ...
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach。
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches。
Unsupervised Multilingual Learning for POS Tagging
Climbing the Tower of Babel: Unsupervised Multilingual Learning
Selective Sharing for Multilingual Dependency Parsing
I would like to express my gratitude to all those who gave me the possibility to complete this thesis. I am deeply indebted to my supervisor, Prof. Dr. Doris G. Bargen, whose help, stimulating su...

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