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An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling
2020
Al-Azhar Bulletin of Science
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In this work, a practical methodology presented for Arabic Storytelling ontology construction for domain ontology extraction from unstructured Arabic story documents. ...
This paper intends to investigate the problem of automatically construct and build an Arabic storytelling ontology based on Arabic named entity recognition (NER) from unstructured story text. ...
In this work, a framework for automatic ontology construction will perform and how to extract terms and concepts by named entities recognition approach using natural language processing (NLP) tasks that ...
doi:10.21608/absb.2020.44367.1088
fatcat:al6yof2kozajvot77cta2globe
Context for semantic metadata
2004
Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04
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In particular, we consider both the abstract measurement of "contextual ambiguity" over the collection and the application of a particular disambiguation algorithm to synthesized keyword searches across ...
In both cases, one chief problem in the automatic generation of semantic metadata is ambiguity leading to the overgeneration of inaccurate annotations. ...
In order to formalize this definition, we consider a set of media items I annotated with concepts drawn from a vocabulary C , each of which may be ambiguously referred to by natural language terms T . ...
doi:10.1145/1027527.1027574
dblp:conf/mm/Haase04
fatcat:j6oy5abm6bh7xjf4oq6ubodjx4
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
2004
BT technology journal
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ConceptNet is a freely available commonsense knowledge base and natural-language-processing tool-kit which supports many practical textual-reasoning tasks over real-world documents including topic-gisting ...
ConceptNet is generated automatically from the 700 000 sentences of the Open Mind Common Sense Project -a World Wide Web based collaboration with over 14 000 authors. ...
Acknowledgments We would like to thank the many people at the Media Lab who have used ConceptNet in their projects, especially Barbara Barry, Henry Lieberman, and Ian Eslick. ...
doi:10.1023/b:bttj.0000047600.45421.6d
fatcat:hokobaz4xbfuba2fabzm7uirfy
NLP (Natural Language Processing) for NLP (Natural Language Programming)
[chapter]
2006
Lecture Notes in Computer Science
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Natural Language Processing holds great promise for making computer interfaces that are easier to use for people, since people will (hopefully) be able to talk to the computer in their own language, rather ...
. 1 Here, the obvious use of programming languages for coding natural language processing systems is not considered as a "meaningful" interaction. ...
Inspired by these applications, we collect a corpus of homework assignments as given in introductory programming classes, and attempt to automatically generate computer program skeletons for these programming ...
doi:10.1007/11671299_34
fatcat:tpjyaexv5bedpljx73inoexw6i
The Role of Context in Affective Behavior Understanding
[chapter]
2013
Social Emotions in Nature and Artifact
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Such affective feedback is an essential and predictable aspect of natural conversation and its absence can significantly disrupt participants ability to communicate [2, 20] . ...
Visual feedback can range from a simple eye glance to a large arm gesture or posture change. One important visual cue is head nod during conversation. ...
In natural language processing (NLP), lexical and syntactic features are predominant but for face-to-face interaction with an ECA, timing is also an important feature. ...
doi:10.1093/acprof:oso/9780195387643.003.0009
fatcat:32x3i43b5rc43fl4nojmrhu2lm
Page 1700 of Linguistics and Language Behavior Abstracts: LLBA Vol. 23, Issue 4
[page]
1989
Linguistics and Language Behavior Abstracts: LLBA
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A. ...
A. ...
Automatic Story Generation: Challenges and Attempts
[article]
2021
arXiv
pre-print
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The scope of this survey paper is to explore the challenges in automatic story generation. We hope to contribute in the following ways: 1. ...
Explore how previous research in story generation addressed those challenges. 2. Discuss future research directions and new technologies that may aid more advancements. 3. ...
Storytelling helps computers communicate with humans Riedl (2016), and automated story generation drives improvements in natural language processing. ...
arXiv:2102.12634v1
fatcat:b67pi4zy5fc4dp4edidecwo54a
Towards Discourse Parsing-inspired Semantic Storytelling
[article]
2020
arXiv
pre-print
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, which is based on a semi-automatically collected data set with documents about noteworthy people in one of Berlin's districts. ...
In this paper, we outline our longer-term vision on Semantic Storytelling and describe the current conceptual and technical approach. ...
Acknowledgements The research presented in this article is funded by the German Federal Ministry of Education and Research (BMBF) through the project QURATOR (Unternehmen Region, Wachstumskern, no. 03WKDA1A ...
arXiv:2004.12190v1
fatcat:xt374rlo7fazfnwqqlkacwpffq
Modeling Protagonist Emotions for Emotion-Aware Storytelling
[article]
2020
arXiv
pre-print
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Emotions and their evolution play a central role in creating a captivating story. ...
In this paper, we present the first study on modeling the emotional trajectory of the protagonist in neural storytelling. ...
In the absence of a training corpus of stories labeled with the protagonist's emotions, we automatically annotate a large-scale story corpus using COMET. ...
arXiv:2010.06822v2
fatcat:tebxem7gxjb5zmupqki3avtmhu
The Role of the Parallel Corpus in Linguistics, the Importance and the Possibilities of Interpretation
2019
International Journal of Engineering and Advanced Technology
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Convenient interface and search engine in the language corpus serves as an object of research. ...
The research is mostly based on the analysis of parallel corpus and its possibilities in Uzbekistan. ...
In this case, the student makes conclusions based on corpus material, enriches his / her knowledge, and sees the meaning in a realistic contextual context. Third example. ...
doi:10.35940/ijeat.e1083.0785s319
fatcat:wpi2imnrybeenlie5yhilknu3m
Telling Stories through Multi-User Dialogue by Modeling Character Relations
[article]
2021
arXiv
pre-print
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This paper explores character-driven story continuation, in which the story emerges through characters' first- and second-person narration as well as dialogue -- requiring models to select language that ...
game Dungeons and Dragons -- with automatically extracted relationships between each pair of interacting characters as well as their personas. ...
This dataset has been shown
to result in an improved understanding of conversa-
tional natural language (Yang et al., 2018; Mazaré
et al., 2018). ...
arXiv:2105.15054v1
fatcat:ef7jwt4pmffxbfkqbhaobv6zpu
FairyTailor: A Multimodal Generative Framework for Storytelling
[article]
2021
arXiv
pre-print
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Natural language generation (NLG) for storytelling is especially challenging because it requires the generated text to follow an overall theme while remaining creative and diverse to engage the reader. ...
In this work, we introduce a system and a web-based demo, FairyTailor, for human-in-the-loop visual story co-creation. ...
That high ratio might reflect the vivid, artistic nature of storytelling. ...
arXiv:2108.04324v1
fatcat:fj3meiky7ndrxjcovltwng63xq
Argumentation mining: How can a machine acquire common sense and world knowledge?
2018
Argument & Computation
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Argumentation mining is an advanced form of human language understanding by the machine. This is a challenging task for a machine. ...
In this article 1 we focus on how the machine can automatically acquire the needed common sense and world knowledge. ...
Our current research shows that learning predictive event structures from a large corpus of texts encoding selectional knowledge in natural language gives promising results for the task of implicit semantic ...
doi:10.3233/aac-170025
fatcat:jiifm7vupncbvb2ovnuwjyd22y
Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172)
2019
Dagstuhl Reports
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Moreover, there are obvious connection points between Computational Creativity and Natural Language Processing on the one hand, and between Natural Language Processing and Digital Literary Studies on the ...
Computational Storytelling as a prominent subfield within Computational Creativity that has mostly focused on planning stories -thus simulating a logically coherent plot -could fruitfully extend its horizon ...
In AM, the goal is to operationalize a narrative theory or concept in a computational model (usually through natural language processing and machine learning approaches), which can then be used to automatically ...
doi:10.4230/dagrep.9.4.87
dblp:journals/dagstuhl-reports/BesoldGGS19
fatcat:u2nyrmbwpvdz3hvbgcghshiaq4
A Hierarchical Approach for Visual Storytelling Using Image Description
[article]
2019
arXiv
pre-print
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We evaluate our system on the Visual Storytelling (VIST) dataset and show that our method outperforms state-of-the-art techniques on a suite of different automatic evaluation metrics. ...
In this paper, we propose a hierarchical deep learning architecture based on encoder-decoder networks to address this problem. ...
-Exploration into the use of natural language image descriptions in visual storytelling. ...
arXiv:1909.12401v1
fatcat:646uj5aob5gdpi7eoxuel3ocj4
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