NLP/AI/Statistics

Title: 한국어 어휘 의미망을 활용한 CRF 모델 기반 개체명 인식 (CRF based Named Entity Recognition Using a Korean Lexical Semantic Network) Authors: Seoyeon Park, Cheolyoung Ock Published: Journal of KIISE, Vol. 48, No. 5, pp. 556-567, 2021. Paper: https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002716508 한국어 어휘 의미망을 활용한 CRF 모델 기반 개체명 인식 한국어 어휘 의미망을 활용한 CRF 모델 기반..

GPT-1: Improving language understanding by generative pre-training GPT-2: Language models are unsupervised multitask learners GPT-3: Language models are few-shot learners Slideshare: https://www.slideshare.net/DanbiCho2/gpt-models Gpt models I summarized the GPT models in this slide and compared the GPT1, GPT2, and GPT3. GPT means Generative Pre-Training of a language model and was implemented b..

Title: Attention boosted deep networks for video classification Authors: You, J., and Korhonen, J. Published: In 2020 IEEE Internationl conference on image processing (ICIP), pp. 1761-1765, 2020. Paper: ieeexplore.ieee.org/abstract/document/9190996 Attention Boosted Deep Networks For Video Classification Video classification can be performed by summarizing image contents of individual frames int..

Title: A survey on deep learning based approaches for action and gesture recognition in image sequences Authors: Asadi-Aghbolaghi, M., Clapes, A., Bellantonio, M., etc. Published: In 2017 12th IEEE international conference on automatic face & gesture recognition, pp. 476-483. Paper: ieeexplore.ieee.org/abstract/document/7961779 A Survey on Deep Learning Based Approaches for Action and Gesture Re..

Title: Electra: pre-training text encoders as discriminators rather than generators Authors: Clark, K., Luong, M.T., Le, Q.V., and Manning, C.D. Published: In arXiv preprint arXiv:2003.10555, 2020. Paper: arxiv.org/abs/2003.10555 ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Masked language modeling (MLM) pre-training methods such as BERT corrupt the input by repla..

Title: A survey on automatic detection of hate speech in text Authors: Fortuna, P., and Nunes, S. Published: In ACM Computing Surveys (CSUR), Vol. 51(4), pp. 1-30, 2018. Paper: dl.acm.org/doi/abs/10.1145/3232676 A Survey on Automatic Detection of Hate Speech in Text | ACM Computing Surveys Preview is not available. By clicking download,a new tab will open to start the export process. The process..

Title: Zero wall: detecting zero-wall web attacks through encoder-decoder recurrent neural networks Authors: Tang, R., Wang, Z., Li, Z., Meng, W., Wang, H., Li, Q., ..., Liu, Y. Published: In IEEE INFOCOM 2020-IEEE Conference on Computer Communications, pp. 2479-2488, 2020. Paper: ieeexplore.ieee.org/abstract/document/9155278 ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recur..

Title: Can recurrent neural networks warp time? Authors: Tallec, C., and Ollivier, Y. Published: In arXiv preprint arXiv: 1804.11188, 2018. Paper: arxiv.org/abs/1804.11188 Can recurrent neural networks warp time? Successful recurrent models such as long short-term memories (LSTMs) and gated recurrent units (GRUs) use ad hoc gating mechanisms. Empirically these models have been found to improve t..

Title: Man is to computer programmer as woman is to homemaker? Debiasing word embeddings Authors: Bolukbasi, T., Chang, K.W., Zou, J., Saligrama, V., and Kalai, A. Published: In arXiv preprint arXiv: 1607.06520, 2016. Paper: arxiv.org/abs/1607.06520 Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings The blind application of machine learning runs the risk of amplify..

Title: Situation recognition: visual semantic role labeling for image understanding Authors: Yatskar, M., Zettlemoyer, L., and Farhadi, A. Published: In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 5534-5542, 2016. Paper: www.cv-foundation.org/openaccess/content_cvpr_2016/html/Yatskar_Situation_Recognition_Visual_CVPR_2016_paper.html CVPR 2016 Open Access Re..