2008
|
Eisner, Jason Dyna: A Non-Probabilistic Programming Language for Probabilistic AI Miscellaneous 2008. Links | BibTeX @misc{eisner-2008b,
title = {Dyna: A Non-Probabilistic Programming Language for Probabilistic AI},
author = {Eisner, Jason},
url = {http://cs.jhu.edu/~jason/papers/#nipsw08-dyna},
year = {2008},
date = {2008-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Nirenburg, Sergei; McShane, Marjorie; Beale, Stephen Resolving paraphrases to support modeling language perception in an intelligent agent Inproceedings Semantics in Text Processing (STEP), pp. 179–192, Association for Computational Linguistics, Morristown, NJ, USA, 2008. Links | BibTeX @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}
}
|
Thomas, Samuel; Ganapathy, Sriram ; Hermansky, Hynek Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech Inproceedings International Speech Communication Association (INTERSPEECH), 2008. Links | BibTeX @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}
}
|
Sivaram, G S V S; Hermansky, Hynek Emulating Temporal Receptive Fields of Auditory Mid-brain Neurons for Automatic Speech Recognition Inproceedings 16th European Signal Processing Conference, 2008. Links | BibTeX @inproceedings{sivaram:08a,
title = {Emulating Temporal Receptive Fields of Auditory Mid-brain Neurons for Automatic Speech Recognition},
author = {G.S.V.S. Sivaram and Hermansky, Hynek},
url = {http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104358.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {16th European Signal Processing Conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Madnani, Mitin; Dorr, Bonnie ; Resnik, Philip; Schwartz, Richard Applying Automatically Generated Semantic Knowledge: A Case Study in Machine Translation Inproceedings NSF Symposium on Semantic Knowledge Discovery, Organization and Use, 2008. Links | BibTeX @inproceedings{w8jyekpa,
title = {Applying Automatically Generated Semantic Knowledge: A Case Study in Machine Translation},
author = {Mitin Madnani and Dorr, Bonnie and Philip Resnik and Richard Schwartz},
url = {http://www.umiacs.umd.edu/~nmadnani/pdf/madnani-nsf-sk.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {NSF Symposium on Semantic Knowledge Discovery, Organization and Use},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
White, C M; Zweig, G; Burget, L; Schwarz, P; Hermansky, H Confidence Estimation, OOV Detection and Language ID using Phone-to-word Transduction and Phone-level Alignments Inproceedings International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008. BibTeX @inproceedings{1b4h7d5f,
title = {Confidence Estimation, OOV Detection and Language ID using Phone-to-word Transduction and Phone-level Alignments},
author = {C.M. White and G. Zweig and L. Burget and P. Schwarz and H. Hermansky},
year = {2008},
date = {2008-01-01},
booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Park, Y; Priebe, Carey ; Miller, M; Mohan, N; Botteron, K Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space Journal Article 2008. Links | BibTeX @article{park2008statistical,
title = {Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space},
author = {Y. Park and Priebe, Carey and M. Miller and N. Mohan and K. Botteron},
url = {http://downloads.hindawi.com/journals/bmri/2008/694297.pdf},
year = {2008},
date = {2008-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ganapathy, Sriram ; Motlicek, Petr; Hermansky, Hynek ; Garudadri, Harinath Autoregressive Modeling of Hilbert Envelopes for Wide-Band Audio Coding Inproceedings 124th Convention of Audioengineering Society, 2008. Links | BibTeX @inproceedings{sriram-ganapathy:08c,
title = {Autoregressive Modeling of Hilbert Envelopes for Wide-Band Audio Coding},
author = {Ganapathy, Sriram and Petr Motlicek and Hermansky, Hynek and Harinath Garudadri},
url = {http://www.aes.org/e-lib/browse.cfm?elib=14611},
year = {2008},
date = {2008-01-01},
booktitle = {124th Convention of Audioengineering Society},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Karakos, D; Khudanpur, S; Marchette, D; Papamarcou, A; Priebe, C On the Minimization of Concave Information Functionals for Unsupervised Classification via Decision Trees, Statistics and Probability Letters Journal Article pp. 975–984, 2008. BibTeX @article{karakos2008ontheminimization,
title = {On the Minimization of Concave Information Functionals for Unsupervised Classification via Decision Trees, Statistics and Probability Letters},
author = {D. Karakos and S. Khudanpur and D. Marchette and A. Papamarcou and C. Priebe},
year = {2008},
date = {2008-01-01},
pages = {975--984},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mayfield, J; Dorr, B J; Finin, T; Oard, D W; Piatko, C D Knowledge base evaluation for semantic knowledge discovery Inproceedings NSF Sponsored Symposium Semantic Knowledge Discovery, Organization and Use, 2008. Abstract | Links | BibTeX @inproceedings{9prxi1or,
title = {Knowledge base evaluation for semantic knowledge discovery},
author = {J. Mayfield and B.J. Dorr and T. Finin and D.W. Oard and C.D. Piatko},
url = {http://ebiquity.umbc.edu/_file_directory_/papers/429.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {NSF Sponsored Symposium Semantic Knowledge Discovery, Organization and Use},
abstract = {Semantic knowledge discovery has traditionally been evaluated at the
text level. For example, evaluations such as MUC [MUC-7] and ACE
[ACE 2008] evaluate the information extraction of particular types
of semantic roles and relations primarily at the mention level. We
suggest that evaluating at the level of a knowledge base (KB) extracted
from the text has significant advantages over evaluation at the text
level. By knowledge base, we mean the combination of a database,
a descriptive schema for the contents of the database, a collection
of background knowledge, and an inference capability.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Semantic knowledge discovery has traditionally been evaluated at the
text level. For example, evaluations such as MUC [MUC-7] and ACE
[ACE 2008] evaluate the information extraction of particular types
of semantic roles and relations primarily at the mention level. We
suggest that evaluating at the level of a knowledge base (KB) extracted
from the text has significant advantages over evaluation at the text
level. By knowledge base, we mean the combination of a database,
a descriptive schema for the contents of the database, a collection
of background knowledge, and an inference capability. |
Pinto, Joel; Bayya, Yegnanarayana; Hermansky, Hynek ; Magimai-Doss, Mathew Exploiting Contextual Information For Improved Phoneme Recognition Inproceedings International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008. Links | BibTeX @inproceedings{joel-pinto:08,
title = {Exploiting Contextual Information For Improved Phoneme Recognition},
author = {Joel Pinto and Yegnanarayana Bayya and Hermansky, Hynek and Mathew Magimai-Doss},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518643},
year = {2008},
date = {2008-01-01},
booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mohammad, S; Dorr, B; Hirst, G Towards Antonymy-Aware Natural Language Applications Inproceedings NSF Symposium on Semantic Knowledge Discovery: Organization and Use, 2008. Abstract | Links | BibTeX @inproceedings{02affhvd,
title = {Towards Antonymy-Aware Natural Language Applications},
author = {S. Mohammad and B. Dorr and G. Hirst},
url = {http://www.umiacs.umd.edu/~saif/WebDocs/antonymy-SKD.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {NSF Symposium on Semantic Knowledge Discovery: Organization and Use},
abstract = {Manually-created lexicons of antonym pairs have limited coverage and
do not include most semantically contrasting word pairs. Although
some approaches have been proposed before, it is only now that automatic
measures of word-pair antonymy are approaching a maturity in precision
and coverage (Turney 2008, Mohammad et al. 2008). However, the different
computational approaches capture different facets of this intuitive,
but complex, phenomenon. We describe several issues that must be
negotiated before arriving at a successful antonymy-aware natural
language system (outlined briefly in the next two paragraphs). Additionally,
we detail various tasks that can benefit by knowing which terms are
antonymous},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Manually-created lexicons of antonym pairs have limited coverage and
do not include most semantically contrasting word pairs. Although
some approaches have been proposed before, it is only now that automatic
measures of word-pair antonymy are approaching a maturity in precision
and coverage (Turney 2008, Mohammad et al. 2008). However, the different
computational approaches capture different facets of this intuitive,
but complex, phenomenon. We describe several issues that must be
negotiated before arriving at a successful antonymy-aware natural
language system (outlined briefly in the next two paragraphs). Additionally,
we detail various tasks that can benefit by knowing which terms are
antonymous |
Pinto, Joel; Szoke, Igor; Prasanna, S R M; Hermansky, Hynek Fast Approximate Spoken Term Detection from Sequence of Phonemes Inproceedings The 31st Annual International ACM SIGIR Conference, 2008. BibTeX @inproceedings{pinto-joel:08,
title = {Fast Approximate Spoken Term Detection from Sequence of Phonemes},
author = {Joel Pinto and Igor Szoke and S.R.M. Prasanna and Hermansky, Hynek},
year = {2008},
date = {2008-01-01},
booktitle = {The 31st Annual International ACM SIGIR Conference},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Weinshall, Daphna; Hermansky, Hynek ; Zweig, Alon; Luo, Jie; Jimison, Holly; Ohl, Frank; Pavel, Misha Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree Inproceedings Proceedings Neural Information Processing Conference, Advances in Neural Information Processing 21, 2008. Links | BibTeX @inproceedings{daphna-weinshall:08,
title = {Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree},
author = {Daphna Weinshall and Hermansky, Hynek and Alon Zweig and Jie Luo and Holly Jimison and Frank Ohl and Misha Pavel},
url = {http://papers.nips.cc/paper/3581-beyond-novelty-detection-incongruent-events-when-general-and-specific-classifiers-disagree.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {Proceedings Neural Information Processing Conference, Advances in Neural Information Processing 21},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mohammad, S; Dorr, B; Egan, M; Lin, J; Zajic, D Multiple Alternative Sentence Compressions and Word-Pair Antonymy for Automatic Text Summarization and Recognizing Textual Entailment Inproceedings Text Analysis Conference (TAC), 2008. Links | BibTeX @inproceedings{u0twxrzd,
title = {Multiple Alternative Sentence Compressions and Word-Pair Antonymy for Automatic Text Summarization and Recognizing Textual Entailment},
author = {S. Mohammad and B. Dorr and M. Egan and J. Lin and D. Zajic},
url = {2011/09/umdtac08.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {Text Analysis Conference (TAC)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Trosset, M; Priebe, C; Park, Y; Miller, M Semisupervised Learning from Dissimilarity Data Journal Article pp. 4643–4657, 2008. Links | BibTeX @article{trosset2008semisupervised,
title = {Semisupervised Learning from Dissimilarity Data},
author = {M. Trosset and C. Priebe and Y. Park and M. Miller},
url = {http://www.sciencedirect.com/science/article/pii/S0167947308001539/pdfft?md5=1a3aa609666f5e27e60b21fd7b639db0&pid=1-s2.0-S0167947308001539-main.pdf},
year = {2008},
date = {2008-01-01},
pages = {4643--4657},
publisher = {http://ac.els-cdn.com/S0167947308001539/1-s2.0-S0167947308001539-main.pdf?_tid=2ef8ad52-c97a-11e3-8415-00000aacb35e&acdnat=1398101416_8db9c0c72a27a3230d33d67416632bbf},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Thomas, Samuel; Ganapathy, Sriram ; Hermansky, Hynek Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain Inproceedings EUSIPCO, 2008. BibTeX @inproceedings{samuel-thomas:08c,
title = {Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain},
author = {Samuel Thomas and Ganapathy, Sriram and Hermansky, Hynek},
year = {2008},
date = {2008-01-01},
booktitle = {EUSIPCO},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pinto, Joel; Sivaram, G S V S; Hermansky, Hynek Reverse Correlation for Analyzing MLP Posterior Features in ASR Inproceedings 11th International Conference on Text, Speech and Dialogue (TSD), 2008. Links | BibTeX @inproceedings{joel-pinto:08a,
title = {Reverse Correlation for Analyzing MLP Posterior Features in ASR},
author = {Joel Pinto and G.S.V.S. Sivaram and Hermansky, Hynek},
url = {http://link.springer.com/chapter/10.1007%2F978-3-540-87391-4_60},
year = {2008},
date = {2008-01-01},
booktitle = {11th International Conference on Text, Speech and Dialogue (TSD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elsayed, T; Lin, J; Oard, D W Pairwise document similarity in large collections with MapReduce Conference Association for Computational Linguistics (ACL), 2008. Links | BibTeX @conference{elsayed2008pairwise,
title = {Pairwise document similarity in large collections with MapReduce},
author = {T. Elsayed and J. Lin and D.W. Oard},
url = {http://aclweb.org/anthology/P/P08/P08-2067.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {Association for Computational Linguistics (ACL)},
pages = {265--268},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
McNamee, Paul ; Nicholas, Charles; Mayfield, James Don't have a stemmer?: be un+concern+ed Inproceedings 31st Annual International Conference on Research and Development in Information Retrieval (SIGIR), pp. 813–814, ACM, New York, NY, USA, 2008. BibTeX @inproceedings{1390518,
title = {Don't have a stemmer?: be un+concern+ed},
author = {McNamee, Paul and Charles Nicholas and Mayfield, James},
year = {2008},
date = {2008-01-01},
booktitle = {31st Annual International Conference on Research and Development in Information Retrieval (SIGIR)},
pages = {813--814},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Farris, D; White, Chris ; Khudanpur, Sanjeev Sample Selection for Automatic Language Identification Conference International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008. Links | BibTeX @conference{farris2008sample,
title = {Sample Selection for Automatic Language Identification},
author = {D. Farris and White, Chris and Khudanpur, Sanjeev},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4518587},
year = {2008},
date = {2008-01-01},
booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
pages = {4225--4229},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Ganapathy, Sriram ; Thomas, Samuel; Hermansky, Hynek Front-end for Far-Field Speech Recognition based on Frequency Domain Linear Prediction Inproceedings International Speech Communication Association (INTERSPEECH), 2008. BibTeX @inproceedings{sriram-ganapathy:08b,
title = {Front-end for Far-Field Speech Recognition based on Frequency Domain Linear Prediction},
author = {Ganapathy, Sriram and Samuel Thomas and Hermansky, Hynek},
year = {2008},
date = {2008-01-01},
booktitle = {International Speech Communication Association (INTERSPEECH)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Valente, Fabio; Hermansky, Hynek On the Combination of Auditory and Modulation Frequency Channels for ASR applications Inproceedings International Speech Communication Association (INTERSPEECH), 2008. Links | BibTeX @inproceedings{valente:08,
title = {On the Combination of Auditory and Modulation Frequency Channels for ASR applications},
author = {Fabio Valente and Hermansky, Hynek},
url = {http://www.isca-speech.org/archive/interspeech_2008/i08_2242.html},
year = {2008},
date = {2008-01-01},
booktitle = {International Speech Communication Association (INTERSPEECH)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
White, Chris ; Khudanpur, Sanjeev ; Baker, J An Investigation of Acoustic Models for Multilingual Code-Switching Inproceedings International Speech Communication Association (INTERSPEECH), 2008. Links | BibTeX @inproceedings{lrgqjavn,
title = {An Investigation of Acoustic Models for Multilingual Code-Switching},
author = {White, Chris and Khudanpur, Sanjeev and J. Baker},
url = {http://www.isca-speech.org/archive/interspeech_2008/i08_2691.html},
year = {2008},
date = {2008-01-01},
booktitle = {International Speech Communication Association (INTERSPEECH)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Karakos, D; Khudanpur, S; Marchette, D; Papamarcou, A; Priebe, C On the Minimization of Concave Information Functionals for Unsupervised Classification via Decision Trees Journal Article pp. 975–984, 2008. Links | BibTeX @article{karakos2008on,
title = {On the Minimization of Concave Information Functionals for Unsupervised Classification via Decision Trees},
author = {D. Karakos and S. Khudanpur and D. Marchette and A. Papamarcou and C. Priebe},
url = {http://ac.els-cdn.com/S0167715207003501/1-s2.0-S0167715207003501-main.pdf?_tid=485f80aa-c979-11e3-a142-00000aacb35d&acdnat=1398101029_3a9a6c0985e253d80353a41db88a66b2},
year = {2008},
date = {2008-01-01},
pages = {975--984},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sivaram, Garimella; Hermansky, Hynek Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR Inproceedings 11th International Conference on Text, Speech and Dialogue (TSD), 2008. BibTeX @inproceedings{sivaram:08,
title = {Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR},
author = {Garimella Sivaram and Hermansky, Hynek},
year = {2008},
date = {2008-01-01},
booktitle = {11th International Conference on Text, Speech and Dialogue (TSD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Priebe, C; Wallis, W On the Anomalous Behaviour of a Class of Locality Statistics Journal Article pp. 2034–2037, 2008. BibTeX @article{priebe2008on,
title = {On the Anomalous Behaviour of a Class of Locality Statistics},
author = {C. Priebe and W. Wallis},
year = {2008},
date = {2008-01-01},
pages = {2034--2037},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Marchette, D; Priebe, Carey Predicting Unobserved Links in Incompletely Observed Networks Journal Article pp. 1373–1386, 2008. Links | BibTeX @article{marchette2008predicting,
title = {Predicting Unobserved Links in Incompletely Observed Networks},
author = {D. Marchette and Priebe, Carey},
url = {http://ac.els-cdn.com/S0167947307001193/1-s2.0-S0167947307001193-main.pdf?_tid=adfb89e0-c659-11e3-82c1-00000aacb35d&acdnat=1397757602_82b55b823de03e51151041df6fca0c29},
year = {2008},
date = {2008-01-01},
pages = {1373--1386},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2007
|
McNamee, Paul ; Mayfield, James N-gram Morphemes for Retrieval Inproceedings Working Notes for the Cross Language Evaluation Forum (CLEF), 2007. Abstract | Links | BibTeX @inproceedings{g41s3wqo,
title = {N-gram Morphemes for Retrieval},
author = {McNamee, Paul and Mayfield, James},
url = {http://www.clef-campaign.org/2007/working_notes/mcnameeCLEF2007.pdf},
year = {2007},
date = {2007-01-01},
booktitle = {Working Notes for the Cross Language Evaluation Forum (CLEF)},
abstract = {Stemming, an approximation to morphological analysis, is a commonly
used technique to improve performance in information retrieval systems.
In the MorphoChallenge 2007 evaluation we applied a simple zero-knowledge
technique that is based on frequency counts rather than machine learning.
Our method is based on substituting a single fixed-length substring
for each word that appears in documents or queries. We hope to discover
whether this method, which has been used in previous IR evaluations
with good effect, will be as effective for the information retrieval
task as the unsupervised methods used by other participants. It should
be emphasized that out submission was not a credible attempt to learn
morphology and thus is not expected to perform well in the morphology
induction task.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stemming, an approximation to morphological analysis, is a commonly
used technique to improve performance in information retrieval systems.
In the MorphoChallenge 2007 evaluation we applied a simple zero-knowledge
technique that is based on frequency counts rather than machine learning.
Our method is based on substituting a single fixed-length substring
for each word that appears in documents or queries. We hope to discover
whether this method, which has been used in previous IR evaluations
with good effect, will be as effective for the information retrieval
task as the unsupervised methods used by other participants. It should
be emphasized that out submission was not a credible attempt to learn
morphology and thus is not expected to perform well in the morphology
induction task. |
0000
|
Irvine, Ann ; Callison-Burch, Chris Using Comparable Corpora to Adapt MT Models to New Domains Inproceedings Proceedings of the ACL Workshop on Statistical Machine Translation (WMT), 0000. Links | BibTeX @inproceedings{irvine-callisonburch-wmt14,
title = {Using Comparable Corpora to Adapt MT Models to New Domains},
author = {Irvine, Ann and Callison-Burch, Chris},
url = {http://www.cs.jhu.edu/~anni/papers/irvineCCB_wmt14.pdf},
booktitle = {Proceedings of the ACL Workshop on Statistical Machine Translation (WMT)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Xu, Tan ; McNamee, Paul ; Oard, Doug HLTCOE at TREC 2013: Temporal Summarization 0000. Abstract | BibTeX @{b,
title = {HLTCOE at TREC 2013: Temporal Summarization},
author = {Xu, Tan and McNamee, Paul and Oard, Doug},
abstract = {Our team submitted runs for the first running
of the TREC Temporal Summarization
track. We focused on the Sequential Update
Summarization task. This task involves
simulating processing a temporally ordered
stream of over 1 billion documents to identify
sentences that are relevant to a specific
breaking news stories which contain new
and important content. In this paper, we describe
our approach and evaluation results.},
keywords = {},
pubstate = {published},
tppubtype = {}
}
Our team submitted runs for the first running
of the TREC Temporal Summarization
track. We focused on the Sequential Update
Summarization task. This task involves
simulating processing a temporally ordered
stream of over 1 billion documents to identify
sentences that are relevant to a specific
breaking news stories which contain new
and important content. In this paper, we describe
our approach and evaluation results. |
Irvine, Ann ; Callison-Burch, Chris Hallucinating Phrase Translations for Low Resource MT Inproceedings Proceedings of the Conference on Computational Natural Language Learning (CoNLL), 0000. Links | BibTeX @inproceedings{irvine-callisonburch-conll14,
title = {Hallucinating Phrase Translations for Low Resource MT},
author = {Irvine, Ann and Callison-Burch, Chris},
url = {http://www.cs.jhu.edu/~anni/papers/irvineCCB_Hallucinating_CoNLL_14.pdf},
booktitle = {Proceedings of the Conference on Computational Natural Language Learning (CoNLL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hermansky, Hynek; Variani, Ehsan; Peddinti, Vijayaditya Mean Temporal Distance: Predicting ASR Error from Temporal Properties of Speech 0000. Abstract | Links | BibTeX @{b,
title = {Mean Temporal Distance: Predicting ASR Error from Temporal Properties of Speech},
author = {Hynek Hermansky and Ehsan Variani and Vijayaditya Peddinti},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6639105&queryText%3DMean+Temporal+Distance%3A+Predicting+ASR+Error+from+Temporal+Properties+of+Speech},
pages = {7423 - 7426},
publisher = {IEEE},
address = {Vancouver, BC},
abstract = {Extending previous work on prediction of phoneme recognition error from unlabeled data that were corrupted by unpredictable factors, the current work investigates a simple but effective method of estimating ASR performance by computing a function M(Δt), which represents the mean distance between speech feature vectors evaluated over certain finite time interval, determined as a function of temporal distance Δt between the vectors. It is shown that M(Δt) is a function of signal-to-noise ratio of speech signal. Comparing M(Δt) curves, derived on data used for training of the classifier, and on test utterances, allows for predicting error on the test data. Another interesting observation is that M(Δt) remains approximately constant, as temporal separation Δt exceeds certain critical interval (about 200 ms), indicating the extent of coarticulation in speech sounds.},
keywords = {},
pubstate = {published},
tppubtype = {}
}
Extending previous work on prediction of phoneme recognition error from unlabeled data that were corrupted by unpredictable factors, the current work investigates a simple but effective method of estimating ASR performance by computing a function M(Δt), which represents the mean distance between speech feature vectors evaluated over certain finite time interval, determined as a function of temporal distance Δt between the vectors. It is shown that M(Δt) is a function of signal-to-noise ratio of speech signal. Comparing M(Δt) curves, derived on data used for training of the classifier, and on test utterances, allows for predicting error on the test data. Another interesting observation is that M(Δt) remains approximately constant, as temporal separation Δt exceeds certain critical interval (about 200 ms), indicating the extent of coarticulation in speech sounds. |
Irvine, Ann ; Langfus, Joshua; Callison-Burch, Chris The American Local News Corpus Inproceedings Proceedings of the Language Resources and Evaluation Conference (LREC), 0000. Links | BibTeX @inproceedings{irvine-etal-lrec14,
title = {The American Local News Corpus},
author = {Irvine, Ann and Joshua Langfus and Callison-Burch, Chris},
url = {http://www.cs.jhu.edu/~anni/papers/alnc_lrec14.pdf},
booktitle = {Proceedings of the Language Resources and Evaluation Conference (LREC)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|