We present a novel approach to word reordering which successfully integrates syntactic structural knowledge with phrase-based SMT. This is done by constructing a lattice of altern...
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...
Resolving polysemy and synonymy is required for high-quality information extraction. We present ConceptResolver, a component for the Never-Ending Language Learner (NELL) (Carlson ...
Inverted indexes are the most fundamental and widely used data structures in information retrieval. For each unique word occurring in a document collection, the inverted index sto...
Manish Patil, Sharma V. Thankachan, Rahul Shah, Wi...
In this paper, we discussthe differentstrategiesusedin COMET (COordinated Multimedia Explanation Testbed) for selecting words withwhichthe user is familiar. Whenpicturescannotbe u...
Kathleen McKeown, Jacques Robin, Michael A. Tanenb...