In the last years, dozens of environments for modeling, testing and finally implementing multi-agent systems have been developed. Unfortunately, no standard criteria for understand...
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Sense annotation and lexicon building are costly affairs demanding prudent investment of resources. Recent work on multilingual WSD has shown that it is possible to leverage the a...
Mitesh M. Khapra, Saurabh Sohoney, Anup Kulkarni, ...