In this paper we introduce a simple text mining method which could be helpful for automatic image understanding process, especially in object recognition. By using colors as an example of visionrelated feature category, we describe how word frequencies, dependency parsing and quasi-semantic filtering help to acquire more accurate knowledge which usually requires costly and time consuming annota...

Jacqueline S. Rowarth Waikato Management School, The University of Waikato, Private Bag 3105, Hamilton 3240 ABSTRACT: New Zealand’s history of settlement and economic development has been tied to dairy production. Over the last two decades, a tipping point of public understanding has been reached, and increasing research has been directed towards understanding the economic impact of the dairy i...

Our submission was a reduced version of the system described in Haghighi and Klein (2010), with extensions to improve mention detection to suit the OntoNotes annotation scheme. Including exact matching mention detection in this shared task added a new and challenging dimension to the problem, particularly for our system, which previously used a very permissive detection method. We improved this...

Most studies of implicatures focused on conversational implicatures. This study, however, examined the conventional implicature induced by but. According to the literature, one can assume that the second argument in a ‘p but q’ construction is the argument with the most weight. This is, however, never experimentally tested with a direct distancingcontrastive but. We presented participants with ...

Environmental impact assessment of goods and services is nowadays a major challenge for both economic and ethical reasons. Life Cycle Assessment provides a well accepted methodology for modeling environmental impacts of human activities. This methodology relies on the decomposition of a studied system into interdependent processes in a step called Life Cycle Inventory. Every process has several...

The Message Understanding Conferences (MUCs) are gatherings of researchers in computational linguistics. All participants in the conference develop software systems which perform natural language understanding tasks defined by the conference committee. The systems are evaluated based on how their output compares with the output of human linguists. The MUC scoring software is used in that compar...