Extra-Propositional Aspects of Meaning in Computational Linguistics Workshop
Extra-Propositional Aspects of Meaning in Computational Linguistics Workshop
批准号:
1523586
负责人:
Eduardo Blanco
金额:
$0.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2018-09-30
中文摘要
该奖项为为期一天的研讨会提供学生支持,题为“计算语言学中的意义(ExProM)的额外命题方面”,将于2015年6月5日在丹佛与NAACL一起举行。计算语义学在过去的十年里有了显著的发展,但是意义的额外命题方面,如模态,否定和归属,研究得要少得多:注释,模型和工具仍然处于早期阶段。本次研讨会汇集了对定义理论框架、建模和实现处理ExProM的真实的系统以及分析ExProM在自然语言处理应用中的影响感兴趣的学生和知名研究人员。它存在于科学文本、新闻、社交媒体帖子等中。人类并不总是(想要)说出(全部)真理,命题意义本身忽视了日常文本中编码的重要意义。研讨会鼓励就以下主题提交材料(这一清单绝不是完整的):否定:口头/非口头、分析/综合、从句/从句和普通/元语言、范围和焦点检测;模态:定义和注释类型;真实性:确定文件内和文件间的真实性变化;真实性和真实性:衡量作者的承诺;归属和视角:确定谁说了什么及其目的;讽刺和讽刺;将ExProM集成到NLP管道中;以及ExProM用于NLP应用程序。研讨会涵盖这些现象,不针对任何特定领域,并鼓励提交新的理论框架和任务,以及已知或新语料库的实证结果。鼓励在活动期间可能引起积极讨论的初步想法和结果。研讨会的形式促进学生和高级研究人员之间的互动,并包括一个特邀演讲者。
英文摘要
This award provides student support for a one-day workshop entitled "Extra-Propositional Aspects of Meaning (ExProM) in Computational Linguistics", to be held collocated with NAACL in Denver on June 5, 2015. Computational semantics has grown significantly in the last decade, but extra-propositional aspects of meaning such as modality, negation and attribution are much less studied: annotations, models and tools are still in their early stages. This workshop brings together students and established researchers interested in defining theoretical frameworks, modelling and implementing real systems to process ExProM, as well analyzing the impact of ExProM in natural language processing applications.Extra-propositional meaning is ubiquitous across domains and genres: it is found in scientific texts, news, social media posts, etc. Humans do not always (want to) say (the whole) truth, and propositional meaning alone disregards significant meaning encoded in everyday texts. The workshop encourages submissions on the following topics (the list is by no means complete): negation: verbal/non-verbal, analytic/synthetic, clausal/subclausal and ordinary/metalinguistic, scope and focus detection; modality: defining and annotating types; factuality: determining factuality changes within and across documents; veridicity and veridicality: measuring author commitment; attribution and perspectives: determining who says what and their purpose; irony and sarcasm; integrating ExProM in the NLP pipeline; and ExProM for NLP applications. The workshop covers these phenomena without targeting any specific domain, and encourages submissions of novel theoretical frameworks and tasks, as well as empirical results on known or novel corpora. Preliminary ideas and results that may lead to active discussion during the event are encouraged. The workshop's format fosters interaction between students and senior researchers, and includes an invited speaker.
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会议论文
CAREER: Understanding Negation in Positive Terms
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批准号:2310334
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2022
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负责人:Eduardo Blanco
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依托单位:
CAREER: Understanding Negation in Positive Terms
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批准号:2207394
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2021
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负责人:Eduardo Blanco
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依托单位:
CAREER: Understanding Negation in Positive Terms
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批准号:1845757
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2019
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负责人:Eduardo Blanco
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依托单位:
EAGER: Towards Inter-Sentential Models for Detecting Focus of Negation
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批准号:1734730
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项目类别:Standard Grant
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资助金额:$6.0万
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财政年份:2017
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负责人:Eduardo Blanco
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依托单位:
海外基金