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Determining the semantic orientation of terms through gloss classification
2005
Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05
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The method is based on the quantitative analysis of the glosses of such terms, i.e. the definitions that these terms are given in on-line dictionaries, and on the use of the resulting term representations ...
Functional to the extraction of opinions from text is the determination of the orientation of "subjective" terms contained in text, i.e. the determination of whether a term that carries opinionated content ...
"noun" senses of good will likely generate noisy representations. ...
doi:10.1145/1099554.1099713
dblp:conf/cikm/EsuliS05
fatcat:jyqjoabrkrcxjgrccnni2cds5e
Continuous Sign Language Recognition through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space
2020
IEEE Access
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The purpose of the proposed cross-modal alignment is the modelling of intra-gloss dependencies and the creation of more descriptive video-based latent representations for CSLR. ...
The proposed method is trained jointly with video and text latent representations. Finally, the aligned video latent representations are classified using a jointly trained decoder. ...
The hidden state of the LSTM layer h y k encapsulates the history of the sentence up to gloss y k , i.e., all previous words. ...
doi:10.1109/access.2020.2993650
fatcat:gzaoxgnrbvebff26cf7u3y5z3m
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
[article]
2021
arXiv
pre-print
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Therefore, in this paper, these unique characteristics of sign languages are formulated as hierarchical spatio-temporal graph representations, including high-level and fine-level graphs of which a vertex ...
Sign language translation (SLT), which generates text in a spoken language from visual content in a sign language, is important to assist the hard-of-hearing community for their communications. ...
Researchers adopted an encoder to extract latent representations from sign language videos and a decoder to perform the process of generating gloss scripts [4] . ...
arXiv:2111.07258v1
fatcat:wanvl5d46fb67gliuqax5rpdzm
Neural Sign Language Translation
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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It provides spoken language translations and gloss level annotations for German Sign Language videos of weather broadcasts. ...
This allows us to jointly learn the spatial representations, the underlying language model, and the mapping between sign and spoken language. ...
In the decoding phase we generate spoken language sentences using beam search with a beam width of three, which we empirically shows to be the optimal beam size. ...
doi:10.1109/cvpr.2018.00812
dblp:conf/cvpr/CamgozHKNB18
fatcat:mwl5ildtdvcnje67bawgkl2dqm
Context-Aware Automatic Sign Language Video Transcription in Psychiatric Interviews
2022
Sensors
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Sign language (SL) translation constitutes an extremely challenging task when undertaken in a general unconstrained setup, especially in the absence of vast training datasets that enable the use of end-to-end ...
The goal is predicting the patient's sentence that has been signed in the SL video based on the available pool of possible responses, given the context of the current exchange. ...
In this mapping, the columns of Σ m V T m correspond to the sentence representations in the latent space. ...
doi:10.3390/s22072656
pmid:35408270
pmcid:PMC9003308
fatcat:jim5zcnozzfi3pxio3irhrrw4e
Master Thesis: Neural Sign Language Translation by Learning Tokenization
[article]
2020
arXiv
pre-print
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Lastly, we discuss the advantages of sign-level tokenization over gloss-level tokenization. ...
Therefore, we aim to develop a generic sign-level tokenization layer so that it is applicable to other domains without further effort. ...
In this study, glosses and sentences are learned jointly, yet requires tedious gloss annotations. It uses common representations of images as tokens. ...
arXiv:2011.09289v1
fatcat:44ix6kzoozhd5c6awbfa5gi7fu
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network
2021
Sensors
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the quality of the generator's predictions by modeling text information at the sentence and gloss levels. ...
Contextual information, in the form of hidden states extracted from the previous sentence, is fed into the bidirectional long short-term memory module of the generator to improve the recognition accuracy ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21072437
pmid:33916231
pmcid:PMC8038055
fatcat:ct6yygvm2nf45edx2c4ymc4anq
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
[article]
2020
arXiv
pre-print
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In fact, the current state-of-the-art in translation requires gloss level tokenization in order to work. ...
Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performance drastically. ...
This work reflects only the authors view and the Commission is not responsible for any use that may be made of the information it contains. ...
arXiv:2003.13830v1
fatcat:yjjrj2rwpzdbvd5q5sc3idxxpa
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In fact, the current state-of-theart in translation requires gloss level tokenization in order to work. ...
Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performance drastically. ...
This work reflects only the author's view and the Commission is not responsible for any use that may be made of the information it contains. ...
doi:10.1109/cvpr42600.2020.01004
dblp:conf/cvpr/CamgozKHB20
fatcat:b4hmipfo6fc5hbduf3fzopjr3y
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
[article]
2021
arXiv
pre-print
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The first translation sub-task translates from spoken language to a latent sign language representation, with gloss supervision. ...
Subsequently, the animation sub-task aims to produce expressive sign language sequences that closely resemble the learnt spatio-temporal representation. ...
A transformer encoder learns a representation of the input spoken language sentence, x 1:T , to pass to the auto-regressive transformer decoder. ...
arXiv:2107.11317v2
fatcat:i5xwc7qktvaqzgcbtze2cq4i5i
An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
2016
Open Computer Science
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In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents based on the theory underlying topic models. ...
Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). ...
A generative model for documents is based on simple probabilistic sampling rules that describe how words in documents might be generated on the basis of latent variables. ...
doi:10.1515/comp-2018-0015
fatcat:3jfc2fs5fvhllim5csddqdvila
Analogy Between Concepts (Extended Abstract)
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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Analogical proportions are statements of the form "x is to y as z is to t", where x, y, z, t are items of the same nature, or not. ...
In this paper, we more particularly consider "relational proportions" of the form "object A has the same relationship with attribute a as object B with attribute b". ...
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Survey Track ...
doi:10.24963/ijcai.2020/687
dblp:conf/ijcai/Pasini20
fatcat:thwkuli3wfehljpqpuuvd66jky
Differential Evolutionary Algorithm Based on Multiple Vector Metrics for Semantic Similarity Assessment in Continuous Vector Space
2015
Proceedings of the 21st International Conference on Distributed Multimedia Systems
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Generally, lexical semantic resources consist of corpus and domain knowledge. ...
Specifically, we use differential evolutionary (DE) algorithm which is an powerful population-based stochastic search strategy for obtaining optimal value of the combination. ...
Acknowledgment This work is supported in part by National Natural Science Foundation of China (No.61272353, 61370128, and 61428201), Program for New Century Excellent Talents in University (NCET-13-0659 ...
doi:10.18293/dms2015-001
dblp:conf/dms/CaiLCS15
fatcat:2lzxqbdilffsllkf2kaip274pe
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
[article]
2021
arXiv
pre-print
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To the best of our knowledge, this is the first sign language dataset where sentence and gloss level annotations are provided for a video capture. ...
The aim of the present study is to provide insights on sign language recognition, focusing on mapping non-segmented video streams to glosses. ...
ACKNOWLEDGEMENTS This work was supported by the Greek General Secretariat of Research and Technology under contract Τ1Ε∆Κ-02469 EPIKOINONO. ...
arXiv:2007.12530v2
fatcat:okfkhvccubgvvb7n2mlplkkpjq
Knowledge-Based Semantic Relatedness measure using Semantic features
2020
International Journal of Advanced Trends in Computer Science and Engineering
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In this paper, a new knowledge feature-based measure is proposed to build the semantic vector of a word construct on taxonomical and non-taxonomical feature of relation words. ...
correlated to this research, to designing and develop the topical-based on the semantic representation method for text mining from Social media. ...
However, [23] [24, 25] proposed a novel ensemble construction method that uses PSO generated weights to create the ensemble of classifiers with better accuracy for intrusion detection used as a meta-optimizer ...
doi:10.30534/ijatcse/2020/02922020
fatcat:dynug7wu7zcnnn6q4mws77zpwm
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