This paper focuses on an important step in the creation of a system of meaning representation and the development of semantically-annotated parallel corpora, for use in applicatio...
Bonnie J. Dorr, Rebecca J. Passonneau, David Farwe...
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
A large amount of empirically derived world knowledge is essential for many languageprocessing tasks, to create expectations that can help assess plausibility and guide disambigua...
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
In this paper, we describe experiments into the application of term weighting techniques from text retrieval to support the automatic identification of significant locations from ...
Zhengwei Qiu, Cathal Gurrin, Aiden R. Doherty, Ala...