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绥化学院外国语学院高级英语写作课件第三章 Negotiating a Topic
赣南师范大学外国语学院应用语言学课件Topic 3 Some statistical procedures。
赣南师范大学外国语学院应用语言学课件Topic 2 Krashen's hypotheses。
赣南师范大学外国语学院应用语言学课件Topic 1 Corpus Linguistics。
This paper is concerned with automatic generation of all possible questions from a topic of interest. Specifically, we consider that each topic is associated with a body of texts containing useful inf...
Authorship attribution deals with identifying the authors of anonymous texts. Traditionally, research in this field has focused on formal texts, such as essays and novels, but recently more at...
We investigate the value-add of topic modeling in text analysis for depression, and for neuroticism as a stronglyassociated personality measure. Using Pennebaker’s Linguistic Inquiry and Word Count (L...
Multi-labeled corpora, where each document is tagged with a set of labels, are ubiquitous. When the number of unique labels in the dataset is large, there are naturally some dependencies among the lab...
Markov chain Monte Carlo (MCMC) approximates the posterior distribution of latent variable models bygenerating many samples and averaging over them. In practice, however, itis often more convenient to...
Topic models can yield insight into how depressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the analysis of linguistic sig...
The problem of proposing referents for anaphoric expressions has been extensively researched in the literature and significant insights have been gained through the various approaches. However,...
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and proso...
For more than 50 years, linguists have been interested in the educational challenges faced by speakers of African American Vernacular English, creoles, and other vernaculars, believing that the perspe...
Addressee-and Topic-Influenced Style Shift:A Quantitative Sociolinguistic Study.

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