Results 11 to 20 of about 5,059,875 (336)
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus [PDF]
arXiv, 2022 The punctuation restoration task aims to correctly punctuate the output transcriptions of automatic speech recognition systems. Previous punctuation models, either using text only or demanding the corresponding audio, tend to be constrained by real scenes, where unpunctuated sentences are a mixture of those with and without audio. This paper proposes a
Yaoming Zhu +3 more
arxiv +3 more sources
Token-Level Supervised Contrastive Learning for Punctuation Restoration [PDF]
Interspeech, 2021 Punctuation is critical in understanding natural language text. Currently, most automatic speech recognition (ASR) systems do not generate punctuation, which affects the performance of downstream tasks, such as intent detection and slot filling. This gives rise to the need for punctuation restoration.
Qiushi Huang +4 more
arxiv +3 more sources
Feature Space Augmentation for Negation Handling on Sentiment Analysis
Ilkom Jurnal Ilmiah, 2023 One crucial issue affecting the performance of sentiment analysis tasks is negation. Handling negation involves determining the negation scope and negation cue. Feature space augmentation is one approach used to address negation.
Lutfi Budi Ilmawan +2 more
doaj +2 more sources
Interiority, 2020 This essay explores the relationship between text and space by considering the notion of writing interiors as a form of creative practice. The research focuses on the textual and spatial uses of the punctuation mark slash (/), as evidenced in a range of ...
Igor Siddiqui
doaj +2 more sources
Theorizing mobility through concepts and figures
Tempo Social, 2018 As a concept, mobility captures the common impression that one’s lifeworld is in flux, with not only people, but also cultures, objects, capital, businesses, services, diseases, media, images, information, and ideas circulating across (and even beyond ...
Noel B. Salazar
doaj +2 more sources
Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm [PDF]
arXivIn this paper, a tool for detecting LLM AI text generation is developed based on the Transformer model, aiming to improve the accuracy of AI text generation detection and provide reference for subsequent research. Firstly the text is Unicode normalised, converted to lowercase form, characters other than non-alphabetic characters and punctuation marks ...
Yuhong Mo +4 more
arxiv +2 more sources
Nightmare at test time: How punctuation prevents parsers from generalizing [PDF]
arXiv, 2018 Punctuation is a strong indicator of syntactic structure, and parsers trained on text with punctuation often rely heavily on this signal. Punctuation is a diversion, however, since human language processing does not rely on punctuation to the same extent,
Augenstein, Isabelle +2 more
core +2 more sources
Scientific notes of Taurida National V.I. Vernadsky University, series Philology. Social Communications, 2020 L. L. Makaruk
openaire +2 more sources
Funkcje myślnika – norma i jednoznaczność [PDF]
Studia Slavica, 2022 The paper describes a hyphen – one of the punctuation marks, which encourages the professionals, who are responsible for the standardization of Polish spelling, to discuss it. Its shape and manner of embedding in a text (with or without a space), and its
Małgorzata Bortliczek
doaj +1 more source
A Quest?!: The Secret Life of Gameworld Punctuation
Proc. ACM Hum. Comput. Interact., 2023 At times, the interfaces of videogames -- gameworlds -- contain tiny details that go unnoticed. One such detail is how designers employ ! and ? to communicate to players. These punctuation marks have existed in videogames since their creation, yet remain
Nicolas J. Lalone +2 more
semanticscholar +1 more source