@inproceedings{platt2012computational,
author = {Platt, John and Zweig, Geoffrey and Meek, Chris and Burges, Chris J.C. and  and Liu, Qiang},
title = {Computational Approaches to Sentence Completion},
booktitle = {ACL 2012},
year = {2012},
month = {July},
abstract = {This paper studies the problem of sentence level semantic coherence by answering SATstyle sentence completion questions. These questions test the ability of algorithms to distinguish sense from nonsense based on a variety of sentence-level phenomena. We tackle the problem with two approaches: methods that use local lexical information, such as the n-grams of a classical language model; and methods that evaluate global coherence, such as latent semantic analysis. We evaluate these methods on a suite of practice SAT questions, and on a recently released sentence completion task based on data taken from five Conan Doyle novels. We find that by fusing local and global information, we can exceed 50% on this task, and we suggest some avenues for further research.},
publisher = {ACL/SIGPARSE},
url = {http://approjects.co.za/?big=en-us/research/publication/computational-approaches-to-sentence-completion/},
edition = {ACL 2012},
}