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From Quirky Case to Representing Space
Papers in Honor of Annie Zaenen
Edited by Tracy Holloway King and Valeria de Paiva
CSLI
Annie Zaenen’s research has broadly influenced the field of linguistics from the underlying architecture of formal theories to the minute details of lexical representation. This volume assembles a wide range of essays from linguists who have been profoundly influenced by Zaenen’s work. Taking Zaenen as a model, the contributors explore a variety of topics, including the mapping of syntax onto argument and the relationship between syntax and semantics. From Quirky Case to Representing Space presents new research in linguistics, but also reasserts Zaenen’s crucial role in the evolution of linguistic theory.   
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front cover of Linguistic Issues in Language Technology Vol 9
Linguistic Issues in Language Technology Vol 9
Perspectives on Semantic Representations for Textual Inference
Edited by Cleo Condoravdi, Valeria de Paiva, and Annie Zaenen
CSLI, 2014
Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, deeper and more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Taking an eclectic view on methodology, LiLT provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference.
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