This paper presents a fully operational real-time event extraction system which is capable of accurately and efficiently extracting violent and natural disaster events from vast a...
Martin Atkinson, Jakub Piskorski, Bruno Pouliquen,...
This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and ...
This work presents improvements of a large-scale Arabic to French statistical machine translation system over a period of three years. The development includes better preprocessin...
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and clas...
We show that we can automatically classify semantically related phrases into 10 classes. Classification robustness is improved by training with multiple sources of evidence, inclu...
Ben Carterette, Rosie Jones, Wiley Greiner, Cory B...