Comparing word, character, and phoneme n-grams for subjective utterance recognition

被引：0

作者：

Wilson, Theresa ^{[1
]}

Raaijmakers, Stephan ^{[2
]}

机构：

[1] Univ Edinburgh, Sch Informat, Edinburgh, Midlothian, Scotland

[2] TNO Informat & Commun Technol, Delft, Netherlands

来源：

INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we compare the performance of classifiers trained using word n-grams, character n-grams, and phoneme n-grams for recognizing subjective utterances in multiparty conversation. We show that there is value in using very shallow linguistic representations, such as character n-grams, for recognizing subjective utterances, in particular, gains in the recall of subjective utterances.

引用

页码：1614 / +

页数：2

共 50 条

[41] Predicting Political Donations Using Twitter Hashtags and Character N-Grams
Conrad, Colin
Keselj, Vlado
2016 IEEE 18TH CONFERENCE ON BUSINESS INFORMATICS (CBI), VOL. 2, 2016, : 1 - 7
[42] Words versus character N-grams for anti-spam filtering
Kanaris, Ioannis
Kanaris, Konstantinos
Houvardas, Ioannis
Stamatatos, Efstathios
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2007, 16 (06) : 1047 - 1067
[43] Author Assertion of Furtive Write Print Using Character N-Grams
Hassan, Feryal H.
Chaurasia, Mousmi A.
FUTURE INFORMATION TECHNOLOGY, 2011, 13 : 274 - 278
[44] Character N-grams translation in cross-language information retrieval
Vilares, Jesus
Oakes, Michael P.
Vilares, Manuel
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PROCEEDINGS, 2007, 4592 : 217 - +
[45] Using character N-grams to explore diachronic change in medieval English
Buckley, Kevin
Vogel, Carl
FOLIA LINGUISTICA, 2019, 53 : 249 - 299
[46] Feature selection on Chinese text classification using character n-grams
Wei, Zhihua
Miao, Duoqian
Chauchat, Jean-Hugues
Zhong, Caiming
ROUGH SETS AND KNOWLEDGE TECHNOLOGY, 2008, 5009 : 500 - +
[47] Modeling documents for structure recognition using generalized N-grams
Brugger, R
Zramdini, A
Ingold, R
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, 1997, : 56 - 60
[48] Turkish Spelling Error Detection and Correction by Using Word N-grams
Dalkilic, Gokhan
Cebi, Yalcin
2009 FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTIONS IN SYSTEM ANALYSIS, DECISION AND CONTROL, 2010, : 63 - 66
[49] Classifying True and False Hebrew Stories Using Word N-Grams
HaCohen-Kerner, Yaakov
Dilmon, Rakefet
Friedlich, Shimon
Cohen, Daniel Nissim
CYBERNETICS AND SYSTEMS, 2016, 47 (08) : 629 - 649
[50] Dissimilarities Detections in Texts Using Symbol n-grams and Word Histograms
Andrejkova, Gabriela
Almarimi, Abdulwahed
OPEN COMPUTER SCIENCE, 2016, 6 (01): : 168 - 177

← 1 2 3 4 5 →