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Corpus annotation with a linguistic analysis of the associations between event mentions and spatial expressions

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Abstract

Recognizing spatial information associated with events expressed in natural language text is essential for the proper interpretation of such events. However, the association between event and spatial information found throughout the text has been much less studied than other types of spatial association as looked into in SpatialML and ISO-Space. In this paper, we present an annotation framework for the linguistic analysis of the associations between event mentions and spatial expressions in broadcast news. Based on the corpus annotation and analysis, we discuss which information should be included in the guideline and what makes it difficult to achieve a high inter-annotator agreement. We also discuss possible improvements on the current corpus and annotation framework for insights into developing an automated system.

Paper

Jin-Woo Chung, Jinseon You, and Jong C. Park, "Corpus Annotation with a Linguistic Analysis of the Associations between Event Mentions and Spatial Expressions", 29th Pacific Asia Conference on Language, Information, and Computation (PACLIC 29), Shanghai, China, October 30-November 1, 2015.

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Product name classification for product instance distinction

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Abstract

Product names with a temporal cue in a product review often refer to several product instances purchased at different times. Previous approaches to product entity recognition and temporal information analysis do not take into account such temporal cues and thus fail to distinguish different product instances. We propose to formulate the resolution of such product names as a classification problem by utilizing time expressions, event features and other temporal cues for a classifier in two stages, detecting the existence of such temporal cues and identifying the purchase time. The empirical results show that term-based features and existing event-based features together enhance the performance of product instance distinction.

Paper

Hye-Jin Min and Jong C. Park, "Product Name Classification for Product Instance Distinction", 26th Pacific Asia Conference on Language, Information, and Computation (PACLIC 26).

Dataset

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