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An information distillation framework for extractive summarization
In the context of natural language processing, representation learning has emerged as a
newly active research subject because of its excellent performance in many applications …
newly active research subject because of its excellent performance in many applications …
Probabilistic text analytics framework for information technology service desk tickets
Ticket annotation and search has become an essential research subject for the successful
delivery of IT operational analytics. Millions of tickets are created yearly to address business …
delivery of IT operational analytics. Millions of tickets are created yearly to address business …
Exploring the use of unsupervised query modeling techniques for speech recognition and summarization
Statistical language modeling (LM) that intends to quantify the acceptability of a given piece
of text has long been an interesting yet challenging research area. In particular, language …
of text has long been an interesting yet challenging research area. In particular, language …
Measuring the evolution of social hope since the outbreak of COVID 19 in Iran with a case study of Persian Twitter based on computational social science
MA Dadgostarnia, A Kalantari, B Myslik - Iran Journal of Computer …, 2024 - Springer
Social hope is a category that has received some attention in recent years, and theoretical
constructs have yet to be developed to measure it. In this sense, one of our goals in this …
constructs have yet to be developed to measure it. In this sense, one of our goals in this …
Generating pseudo-relevant representations for spoken document retrieval
ZY Wu, LP Yen, KY Chen - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Spoken document retrieval (SDR) has become an important research subject due to the
immenseness of multimedia data along with speech have spread around the world in our …
immenseness of multimedia data along with speech have spread around the world in our …
Essence Vector-Based Query Modeling for Spoken Document Retrieval
Spoken document retrieval (SDR) has become a prominently required application since
unprecedented volumes of multimedia data along with speech have become available in …
unprecedented volumes of multimedia data along with speech have become available in …
A novel decoding framework for extractive speech summarization with Rhetorical Structure modeling
J Zhang, H Yuan - 2016 International Conference on Asian …, 2016 - ieeexplore.ieee.org
We propose a novel decoding framework (Hybrid RSD-SE framework: Rhetorical Structure
Decoding-Summary Extraction framework) for extracting summaries with rhetorical structure …
Decoding-Summary Extraction framework) for extracting summaries with rhetorical structure …
[HTML][HTML] Generalized analysis of a distribution separation method
Separating two probability distributions from a mixture model that is made up of the
combinations of the two is essential to a wide range of applications. For example, in …
combinations of the two is essential to a wide range of applications. For example, in …
統計式語言模型–語音文件標記, 檢索以及摘要
陳冠宇 - 2015 - tdr.lib.ntu.edu.tw
由於越來越多唾手可得的多媒體文件, 促成了語音文件理解(Understanding)
與組織(Organization) 在過去二十幾年來成為重要的研究議題. 在各式各樣的相關研究中 …
與組織(Organization) 在過去二十幾年來成為重要的研究議題. 在各式各樣的相關研究中 …
I-vector based language modeling for query representation
Since more and more multimedia data associated with spoken documents have been made
available to the public, spoken document retrieval (SDR) has become an important research …
available to the public, spoken document retrieval (SDR) has become an important research …