Results 61 to 70 of about 2,055,157 (200)
Sublemma-Based Neural Machine Translation
Complexity, 2021 Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
doaj +1 more source
Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
The Scientific World Journal, 2014 This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label
Ling Zhu, Derek F. Wong, Lidia S. Chao
doaj +1 more source
Bootstrapping Knowledge Graphs From Images and Text
Frontiers in Neurorobotics, 2019 The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao +7 more
doaj +1 more source
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets [PDF]
BioNLP@ACL, 2019 Inspired by the success of the General Language Understanding Evaluation benchmark, we introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to facilitate research in the development of pre-training language representations in the ...
Yifan Peng, Shankai Yan, Zhiyong Lu
semanticscholar +1 more source
Natural language processing in-and-for design research
Design Science, 2022 We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period 1991–present.
L. Siddharth +2 more
doaj +1 more source
Multilingual Text Classification for Dravidian Languages [PDF]
arXiv, 2021 As the fourth largest language family in the world, the Dravidian languages have become a research hotspot in natural language processing (NLP). Although the Dravidian languages contain a large number of languages, there are relatively few public available resources. Besides, text classification task, as a basic task of natural language processing, how
arxiv
Supporting Undotted Arabic with Pre-trained Language Models [PDF]
arXiv, 2021 We observe a recent behaviour on social media, in which users intentionally remove consonantal dots from Arabic letters, in order to bypass content-classification algorithms. Content classification is typically done by fine-tuning pre-trained language models, which have been recently employed by many natural-language-processing applications.
arxiv
Natural language processing: state of the art, current trends and challenges [PDF]
Multimedia tools and applications, 2017 Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction,
Diksha Khurana +3 more
semanticscholar +1 more source
A Precis of Language Models are not Models of Language [PDF]
arXiv, 2022 Natural Language Processing is one of the leading application areas in the current resurgence of Artificial Intelligence, spearheaded by Artificial Neural Networks. We show that despite their many successes at performing linguistic tasks, Large Neural Language Models are ill-suited as comprehensive models of natural language.
arxiv
A Survey on Hate Speech Detection using Natural Language Processing
SocialNLP@EACL, 2017 This paper presents a survey on hate speech detection. Given the steadily growing body of social media content, the amount of online hate speech is also increasing.
Anna Schmidt, Michael Wiegand
semanticscholar +1 more source