نتایج جستجو برای: indicative sentence
تعداد نتایج: 61041 فیلتر نتایج به سال:
The TAC 2010 Guided Summarization task requires participants to generate coherent summaries with the guidance of predefined categories and aspects. In this paper, we present our two extractive summarization systems. In the first system, we employ a topic model Labeled LDA to model the aspects. The correspondence between the aspects and the topics in Labeled LDA is established through identifyin...
Proto-Indo-European had two sentential negation markers, *m , used in prohibitions (negative commands) and *ne/n , used in other sentence-types (e.g. indicative mood statements, subjunctive clauses, etc.). A survey of the reflexes of *m across the family reveals other functions for it, e.g. word-formation, elliptical negation, etc. Interestingly, one function, independent occurrence as a one-wo...
In this work, we evaluate different sentence encoders with emphasis on examining their embedding spaces. Specifically, we hypothesize that a “high-quality” embedding aids in generalization, promoting transfer learning as well as zero-shot and one-shot learning. To investigate this, we modify Skipthought vectors to learn a more generalizable space by exploiting a small amount of supervision. The...
Pronunciation evaluation is an important module of every spoken language evaluation system. Automatic evaluation of quality of pronunciation that can mimic the performance of human assessors is a difficult task as human assessment accounts for several nuances of pronunciation including vowel substitutions and quality of consonants. This paper presents a novel approach that combines the knowledg...
Corpus is a valuable resource for information retrieval and data-driven natural language processing systems, especially for spoken dialogue research in specific domains. However, there is little non-English corpora, particular for ones in Chinese. Spoken by the nation with the largest population in the world, Chinese become increasingly prevalent and popular among millions of people worldwide. ...
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