[PDF] Top 20 Classifying Ellipsis in Dialogue: A Machine Learning Approach
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Classifying Ellipsis in Dialogue: A Machine Learning Approach
... The phenomenon of sluicing—bare wh-phrases that exhibit a sentential meaning—constitutes an empirically important construction which has been understudied from both theoretical and computational perspectives. Most ... See full document
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Classifying Non Sentential Utterances in Dialogue: A Machine Learning Approach
... four learning algorithms to the data set annotated with all features and improved the result of the four-rule baseline by 25%, obtaining a weighted F-score of around 87% for all ... See full document
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A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
... spoken dialogue, previous approaches were applied only to tiny domains, they needed deep semantic analysis and discourse pro- cessing and relied on hand-crafted knowledge ... See full document
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Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach
... with dialogue acts has become important and has been employed in many conversation analysis ...use dialogue acts as their underlying structure (Allen et ...supervised machine learning method ... See full document
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Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach
... in classifying publications along the translational spectrum provide a basis for establishing and applying uniform definitions of translational research ... See full document
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Feasibility Study for Ellipsis Resolution in Dialogues by Machine Learning Technique
... In this section we discuss the feasibility of the ellipsis resolver via a decision tree in detail from three points of view: the amount of training data, the topic dependency, and the ca[r] ... See full document
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Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques
... supervised machine learning ...different machine learning algorithms: NB (Naive Bayes), ME (maximum entropy), SGD (stochastic gradient descent) and SVM (support vector machine) for ... See full document
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An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
... The recent advances in cognitive psychology and related sciences lead us to the conclusion that knowledge of human cognitive behaviour is sufficiently advanced to enable its applications in computer science and other ... See full document
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Feasibility Study for Ellipsis Resolution in Dialogues by Machine Learning Technique
... Feasibility Study for Ellipsis Resolution in Dialogues by Machine Learning Technique Feasibility Study for Ellipsis Resolution in Dialogues by Machine Learning Technique Y A M A M O T O K a z u h l d[.] ... See full document
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Machine Learning Approach for Classifying Malicious URLs
... the approach wishes to be increased for mechanically discover malicious agencies without using blacklist or outcomes of alternative malicious detection ...supervised learning algorithms are recognized to ... See full document
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Internet-Sensor Information Mining Using Machine Learning Approach
... reinforcement learning where the algorithm learns a policy of how to act, given an observation of the ...intelligent learning agent is doing a key role of decision ...regarding machine ... See full document
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Dialogue Strategy Learning in Healthcare: A Systematic Approach for Learning Dialogue Models from Data
... build dialogue agents that op- timize the dialogue strategy, specifically through learning the dialogue model com- ponents from dialogue ...tomatically learning dialogue ... See full document
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Can a rabbit be a scientist? Stimulating philosophical dialogue in science classes
... philosophical dialogue is central: teachers are needed to select appropriate stimuli and to encourage students to think better, for example by asking them to give reasons, make connections and evaluate claims, and ... See full document
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A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
... For sentences taken from the same document we keep the order in that docu- ment as done in single document summarization. However, we have to be careful when ordering sentences which belong to different documents. To ... See full document
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An Empirical Approach to VP Ellipsis
... The VPE-RES system achieves an 84.4% success rate according to Head Match in the Blind Test data from the Wall Street Journal corpus.. Hardt VP Ellipsis.[r] ... See full document
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Hybrid Classifier for Sentiment Analysis using Effective Pipelining
... the machine learning ...in machine learning ...the machine learning stage, thus delivering substantial improvements in performance and ... See full document
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Comparison of Feature Reduction Techniques for the Binominal Classification of Network Traffic
... - Scenario 1b (5 features selected by HVS) gives the best performance for a reduced feature set, according to all criteria (accuracy, FPR, FNR, and testing execution time), except for the learning time, which is ... See full document
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Ellipsis and Quantification: A Substitutional Approach
... The substitutional treatment of ellipsis presented here has broadly the same coverage as DSP's higher- order unification treatment, but has the computa- tional advantages of i not requir[r] ... See full document
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A Machine Learning Approach to Convert CCGbank to Penn Treebank
... In error analysis, the conversion F-measure of each kind of phrases is examined (see Figure 3). As for the F-measure of the top ten major kinds, seven of them are over 90%, two around 80% while the worst is 44.8%. The ... See full document
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Learning Dialogue Management Models for Task Oriented Dialogue with Parallel Dialogue and Task Streams
... high-performing dialogue management models for task-oriented dialogue with parallel dialogue and task streams, it is crucial to have an effective representation of user interaction state that ... See full document
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