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Sentence Simplification by Monolingual Machine Translation
TLDR
By relatively careful phrase-based paraphrasing this model achieves similar simplification results to state-of-the-art systems, while generating better formed output, and argues that text readability metrics such as the Flesch-Kincaid grade level should be used with caution when evaluating the output of simplification systems.
GAMBL, genetic algorithm optimization of memory-based WSD
TLDR
The architecture of the GAMBL system is presented briefly, and its performance on the English lexical sample and all words tasks in SENSEVAL-3 is discussed.
The perfect solution for detecting sarcasm in tweets #not
TLDR
It is hypothesize that explicit markers such as hashtags are the digital extralinguistic equivalent of nonverbal expressions that people employ in live interaction when conveying sarcasm, and shows that sarcasm is often signalled by hyperbole, using intensifiers and exclamations; in contrast, non-hyperbolic sarcastic messages often receive an explicit marker.
An efficient memory-based morphosyntactic tagger and parser for Dutch
TLDR
A global analysis of the TADPOLE system shows that it is able to process text in linear time close to an estimated 2,500 words per second, while maintaining sufficient accuracy.
Forgetting Exceptions is Harmful in Language Learning
TLDR
It is shown that in language learning, contrary to received wisdom, keeping exceptional training instances in memory can be beneficial for generalization accuracy, and that decision-tree learning often performs worse than memory-based learning.
Memory-Based Language Processing
TLDR
This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling.
Broad expertise retrieval in sparse data environments
TLDR
Two main expertise retrieval tasks are presented, along with a set of baseline approaches based on generative language modeling, aimed at finding expertise relations between topics and people, and current techniques appear to be generalizable to other settings.
Arabic Computational Morphology: Knowledge-based and Empirical Methods
TLDR
Since morphological knowledge plays an essential role in any higher-level understanding and processing of Arabic text, the book also features a part on the role of Arabic morphology in larger applications, i.e. Information Retrieval and Machine Translation.
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