Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
基本信息
- 批准号:RGPIN-2016-06434
- 负责人:
- 金额:$ 2.26万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In today's information society, we have access to an enormous amount of information. Without appropriate theories, technologies, and tools to obtain the information we need in a clear and useful way, there is an ever increasing risk of information overload or information fatigue, leading to poor information use and inefficiencies in decision-making.
There are several research problems that are of current interest to me in the fields of natural language processing and human language technologies. I intend to continue to focus on problems in the areas that I have previously investigated, namely text summarization, complex question answering, and question generation. I am interested in developing techniques for delivering information that is appropriate and relevant to the user, avoiding information overload and assisting informed decision making. This will lead to build up systems that capture user needs and preferences and generate customized, personalized documents.
In this proposal, I address these new needs and demands and I plan to study these objectives from the points of views that relate text summarization, question answering, and question generation. I contend that they hold a strong complementarity which has to be studied and explored according to the following goals and aspects. In a short-term, developing text summarization and question answering models that answer complex questions, building decomposition models that break down complex questions into simpler questions that are easy to answer, constructing models that generate automatically questions, shifting from extractive summarization to abstractive summarization, studying the scalability of the summarization techniques to large amount of data. In a long-term capturing users' needs and tailoring the summaries as answers to user needs and intents, having mechanisms that generate and tailor questions from topics, and designing intelligent mechanisms to process natural language, i.e. inference, synthesize, gist, condense and summarize information as well as mechanisms for coherent and tailored information delivery.
The scientific approaches that will allow us to achieve these goals are of different kinds. On the one hand, we intend to explore methods based on machine learning techniques, especially methods that involve the deep learning techniques since these methods showed that they are able to acquire representations of data that model high-level abstractions of textual data and those representations capture meaning. On the other hand, we intend to explore the structures of sentences based on lexical, syntactic and semantic knowledge for the purpose of compressing, reducing, gisting, and abstracting the selected content for the summaries and the answers. Also we intend to explore frameworks that allow us to process large amounts of textual data for the purpose of the scalability of the summarization techniques.
在当今的信息社会中,我们可以接触到大量的信息。如果没有适当的理论、技术和工具以清晰和有用的方式获取我们需要的信息,信息过载或信息疲劳的风险就会不断增加,从而导致信息使用不良和决策效率低下。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chali, Yllias其他文献
Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels
- DOI:
10.1016/j.ipm.2010.10.002 - 发表时间:
2011-11-01 - 期刊:
- 影响因子:8.6
- 作者:
Chali, Yllias;Hasan, Sadid A.;Joty, Shafiq R. - 通讯作者:
Joty, Shafiq R.
Neural sentence fusion for diversity driven abstractive multi-document summarization
- DOI:
10.1016/j.csl.2019.04.006 - 发表时间:
2019-11-01 - 期刊:
- 影响因子:4.3
- 作者:
Fuad, Tanvir Ahmed;Nayeem, Mir Tafseer;Chali, Yllias - 通讯作者:
Chali, Yllias
Towards Topic-to-Question Generation
- DOI:
10.1162/coli_a_00206 - 发表时间:
2015-03-01 - 期刊:
- 影响因子:9.3
- 作者:
Chali, Yllias;Hasan, Sadid A. - 通讯作者:
Hasan, Sadid A.
Chali, Yllias的其他文献
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{{ truncateString('Chali, Yllias', 18)}}的其他基金
Text Summarization and Question Generation Models
文本摘要和问题生成模型
- 批准号:
RGPIN-2022-05203 - 财政年份:2022
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
- 批准号:
RGPIN-2016-06434 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
- 批准号:
RGPIN-2016-06434 - 财政年份:2019
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
- 批准号:
RGPIN-2016-06434 - 财政年份:2018
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
- 批准号:
RGPIN-2016-06434 - 财政年份:2017
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
- 批准号:
RGPIN-2016-06434 - 财政年份:2016
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Inferencing and synthesizing information from multiple documents using text summarization and question answering models
使用文本摘要和问答模型从多个文档中推断和合成信息
- 批准号:
228139-2011 - 财政年份:2015
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Inferencing and synthesizing information from multiple documents using text summarization and question answering models
使用文本摘要和问答模型从多个文档中推断和合成信息
- 批准号:
228139-2011 - 财政年份:2014
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Inferencing and synthesizing information from multiple documents using text summarization and question answering models
使用文本摘要和问答模型从多个文档中推断和合成信息
- 批准号:
228139-2011 - 财政年份:2013
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
MyBestHelper: helping families find caregivers
MyBestHelper:帮助家庭寻找看护者
- 批准号:
451964-2013 - 财政年份:2013
- 资助金额:
$ 2.26万 - 项目类别:
Engage Grants Program
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Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
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根据用户需求和意图抽象、要点、定制和交付信息内容
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Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
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RGPIN-2016-06434 - 财政年份:2017
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Abstracting, Gisting, Tailoring, and Delivering Information Contents to User Needs and Intents
根据用户需求和意图抽象、要点、定制和交付信息内容
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RGPIN-2016-06434 - 财政年份:2016
- 资助金额:
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