@inproceedings{nljo5gwk,

title = {Learning Named-Entity Hyponyms for Question Answering},

author = {McNamee, Paul and Rion Snow and Patrick Schone and Jim Mayfield},

url = {http://www.aclweb.org/anthology/I/I08/I08-2112.pdf},

year  = {2008},

date = {2008-01-01},

booktitle = {International Joint Conference on Natural Language Processing (IJCNLP)},

abstract = {Lexical mismatch is a problem that confounds automatic question answering 

	systems. While existing lexical ontologies such as WordNet have been 

	successfully used to match verbal synonyms (e.g., beat and defeat) 

	and common nouns (tennis is-a sport), their coverage of proper nouns 

	is less extensive. Question answering depends substantially on processing 

	named entities, and thus it would be of significant benefit if lexical 

	ontologies could be enhanced with additional hypernymic (i.e., is-a) 

	relations that include proper nouns, such as Edward Teach is-a pirate. 

	We demonstrate how a recently developed statistical approach to mining 

	such relations can be tailored to identify named entity hyponyms, 

	and how as a result, superior question answering performance can 

	be obtained. We ranked candidate hyponyms on 75 categories of named 

	entities and attained 53% mean average precision. On TREC QA data 

	our method produces a 9% improvement in performance.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{samuel-thomas:08,

title = {Hilbert Envelope Based Features for Far-Field Speech Recognition},

author = {Samuel Thomas and Ganapathy, Sriram and Hermansky, Hynek},

url = {http://link.springer.com/chapter/10.1007%2F978-3-540-85853-9_11},

year  = {2008},

date = {2008-01-01},

booktitle = {MLMI},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sriram-ganapathy:08,

title = {Temporal Masking For Bit-Rate Reduction In Audio Codec Based On Frequency Domain Linear Prediction},

author = {Ganapathy, Sriram and Petr Motlicek and Hermansky, Hynek and Harinath Garudadri},

url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518726},

year  = {2008},

date = {2008-01-01},

booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sivaram:08b,

title = {Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition},

author = {G.S.V.S. Sivaram and Hermansky, Hynek},

url = {http://www.isca-speech.org/archive/interspeech_2008/i08_0890.html},

year  = {2008},

date = {2008-01-01},

booktitle = {International Speech Communication Association (INTERSPEECH)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wzfa3nqb,

title = {Dependency parsing by belief propagation},

author = {Eisner, Jason and David Smith},

url = {2011/09/2008emlnpsmithparsing.pdf},

year  = {2008},

date = {2008-01-01},

booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},

abstract = {We formulate dependency parsing as a graphical model with the novel 

	ingredient of global constraints. We show how to apply loopy belief 

	propagation (BP), a simple and effective tool for approximate learning 

	and inference. As a parsing algorithm, BP is both asymptotically 

	and empirically efficient. Even with second-order features or latent 

	variables, which would make exact parsing considerably slower or 

	NP-hard, BP needs only O(n3) time with a small constant factor. Furthermore, 

	such features significantly improve parse accuracy over exact first-order 

	methods. Incorporating additional features would increase the runtime 

	additively rather than multiplicatively.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lukas-burget:08,

title = {Combination Of Strongly And Weakly Constrained Recognizers For Reliable Detection Of Out-Of-Vocabulary Words (OOVs)},

author = {Lukas Burget and Petr Schwarz and Pavel Matejka and Mirko Hannemann and Ariya Rastrow and Christopher White and Khudanpur, Sanjeev and Hermansky, Hynek and Jan Cernocky},

year  = {2008},

date = {2008-01-01},

booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{karakos2008computation,

title = {Computation of Csiszar's Mutual Information of Order alpha},

author = {D. Karakos and Khudanpur, Sanjeev and Priebe, Carey},

url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4595361},

year  = {2008},

date = {2008-01-01},

booktitle = {IEEE International Symposium on Information Theory (ISIT-08)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{fabio-valente:08,

title = {Hierarchical and Parallel Processing of Modulation Spectrum for ASR applications},

author = {Fabio Valente and Hermansky, Hynek},

url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518572},

year  = {2008},

date = {2008-01-01},

booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bwdkhaer,

title = {Resolving personal names in email using context expansion},

author = {T. Elsayed and D.W. Oard and G. Namata},

url = {2011/09/acl08_elsayed_name_resolution.pdf},

year  = {2008},

date = {2008-01-01},

booktitle = {Association for Computational Linguistics (ACL)},

abstract = {This paper describes a computational approach to resolving the true 

	referent of a named mention of a person in the body of an email. 

	A generative model of mention generation is used to guide mention 

	resolution. Results on three relatively small collections indicate 

	that the accuracy of this approach compares favorably to the best 

	known techniques, and results on the full CMU Enron collection indicate 

	that it scales well to larger collections.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lukas-burget:08b,

title = {Combination Of Strongly And Weakly Constrained Recognizers For Reliable Detection Of OOVs},

author = {Lukas Burget and Petr Schwarz and Pavel Matejka and Mirko Hannemann and Ariya Rastrow and Christopher White and Khudanpur, Sanjeev and Hermansky, Hynek and Jan Cernocky},

url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518551},

year  = {2008},

date = {2008-01-01},

booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{agzueykp,

title = {Computing Word-Pair Antonymy},

author = {Dorr, Bonnie and Saif Mohammad and Graeme Hirst},

url = {2011/09/2008emnlpmohammadantonymy.pdf},

year  = {2008},

date = {2008-01-01},

booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},

abstract = {Knowing the degree of antonymy between words has widespread applications 

	in natural language processing. Manually-created lexicons have limited 

	coverage and do not include most semantically contrasting word pairs. 

	We present a new automatic and empirical measure of antonymy that 

	combines corpus statistics with the structure of a published thesaurus. 

	The approach is evaluated on a set of closest-opposite questions, 

	obtaining a precision of over 80%. Along the way, we discuss what 

	humans consider antonymous and how antonymy manifests itself in utterances.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{1626496,

title = {Resolving paraphrases to support modeling language perception in an intelligent agent},

author = {Sergei Nirenburg and Marjorie McShane and Stephen Beale},

url = {https://aclweb.org/anthology/W/W08/W08-2215.pdf},

year  = {2008},

date = {2008-01-01},

booktitle = {Semantics in Text Processing (STEP)},

pages = {179--192},

publisher = {Association for Computational Linguistics},

address = {Morristown, NJ, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{samuel-thomas:08b,

title = {Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech},

author = {Samuel Thomas and Ganapathy, Sriram and Hermansky, Hynek},

url = {Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech},

year  = {2008},

date = {2008-01-01},

booktitle = {International Speech Communication Association (INTERSPEECH)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}