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鲁东大学交替传译课件Lecture2 Definition and Classification of Interpreting
鲁东大学 交替传译 课件 Lecture2 Definition and Classification of Interpreting
2019/6/11
鲁东大学交替传译课件Lecture2 Definition and Classification of Interpreting。
山东财经大学外国语学院英语写作II课件 Developement by Classification
山东财经大学外国语学院 英语写作II 课件 Developement by Classification
2018/7/6
山东财经大学外国语学院英语写作II课件 Developement by Classification。
A Statistical Parsing Framework for Sentiment Classification
Statistical Parsing Framework Sentiment Classification
2015/9/15
We present a statistical parsing framework for sentence-level sentiment classification in this article. Unlike previous works that use syntactic parsing results for sentiment analysis, we develop a st...
Selectional Preferences for Semantic Role Classification
Selectional Preferences Semantic Role Classification
2015/9/11
This paper focuses on a well-known open issue in Semantic Role Classification (SRC) research: the limited influence and sparseness of lexical features. We mitigate this problem using models that integ...
With the increasing rate of patent application filings, automated patent classification is of rising economic importance. This article investigates how patent classification can be improved by using d...
Modeling Regular Polysemy:A Study on the Semantic Classification of Catalan Adjectives
Modeling Regular Polysemy Semantic Classification Catalan Adjectives
2015/9/10
We present a study on the automatic acquisition of semantic classes for Catalan adjectives from distributional and morphological information, with particular emphasis on polysemous adjectives. The aim...
Bilingual Co-Training for Sentiment Classification of Chinese Product Reviews
Bilingual Co-Training Sentiment Classification Chinese Product
2015/9/9
The lack of reliable Chinese sentiment resources limits research progress on Chinese sentiment classification. However, there are many freely available English sentiment resources on the Web. This art...
Learning Methods to Combine Linguistic Indicators:Improving Aspectual Classification and Revealing Linguistic Insights
Combine Linguistic Indicators Aspectual Classification Revealing Linguistic Insights
2015/8/25
Aspectual classification maps verbs to a small set of primitive categories in order to reason abouttime. This classification is necessary for interpreting temporal modifiers and assessing temporal rel...
REGULARIZATION, ADAPTATION, AND NON-INDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION
Hidden Conditional Random Fields Speech Recognition Phone Classification Maximum a Posteriori
2015/6/12
We show a number of improvements in the use of Hidden Conditional Random Fields (HCRFs) for phone classification on the TIMIT and Switchboard corpora. We first show that the use of regularization effe...
Legal Docket-Entry Classification: Where Machine Learning stumbles
Legal Docket-Entry Classification Machine Learning stumbles
2015/6/12
We investigate the problem of binary text classification in the domain of legal docket entries.This work presents an illustrative instance of a domain-specific problem where the stateof-the-art Machin...
Pronouns and the (Preliminary) Classification of Papuan languages
Pronouns Papuan Languages Trans New Guinea Historical Linguistics Quantitative Linguistics Language Classi
2015/4/20
A series of articles by Ross (1995, 2001, 2005) use pronoun similarities to gauge relatedness between various Papuan microgroups,arguing that the similarities could not be the result of chance or borr...
Minimum classification error training of landmark models for real-time continuous speech recognition
landmark models real-time continuous speech recognition
2015/3/11
Minimum classification error training of landmark models for real-time continuous speech recognition.
A Wavelet and Filter Bank Framework for Phonetic Classification
Bank Framework Phonetic Classification
2015/3/11
A Wavelet and Filter Bank Framework for Phonetic Classification.
Speech Utterance Classification Model Training Without Manual Transcriptions
Manual Transcriptions Classification Model
2015/3/10
Speech utterance classification has been widely applied to a variety
of spoken language understanding tasks, including call routing,
dialog systems, and command and control. Most speech utterance ...
Noise Robust Phonetic Classification with Linear Regularized Least Squares and Second-Order Features
Acoustic noise Artiſ cial Intelligence
2015/3/10
Noise Robust Phonetic Classification with Linear Regularized Least Squares and Second-Order Features.