Chia-Chen Lee

Getting travel tips from the experienced bloggers and online forums has been one of the important supplements to the travel guidebook in the web society. In this paper we present a novel approach by identifying and extracting evaluative patterns, providing a different linguistically-motivated framework for automated evaluative text generation. We target at domain-specific observation in online travel blogs in Chinese. Results suggest that the semantic prosody accompanying the patterns demonstrates that online travel bloggers prefer to employ tacit pragmatic strategy in presenting their sentiment polarity in comments. The extracted patterns and their differentiation can be beneficial to identifying and characterizing evaluative language for further automated opinion summarization and macro/micro planning in natural language generation (NLG) as well.

This paper tries to demonstrate our exploratory efforts in tackling with the “high accuracy-low quantity” problem of human word sense annotation task in Chinese, and ultimately reach the goal of automatic word sense annotation. Our proposed annotation architecture consists of explicit and implicit aspects of of crowdsourcing approach. Explicit method focuses on the general issues of crowdsourcing and made adjustments on current MTurk framework. Implicit method concentrates on the idea of Game with a Purpose (GWAP) design, which originates from a well-known video game Super Mario.