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Computational Methods for Text Analysis and Text Classification
[chapter]
2018
Clinical Text Mining
Active learning is used for selecting the optimal data to be annotated. Different machine learning approaches such as topic modelling, distributional semantics and clustering will be presented. ...
Ready computational linguistic modules for English clinical text mining, such as MedLEE and cTakes will also be presented, as well as some basic tools such as NLTK and GATE, which need to be adapted to ...
PAL, https://github.com/mariask2/PAL-A-tool-for-Pre-annotation-and-Active-Learning. Accessed 2018-01-11. ...
doi:10.1007/978-3-319-78503-5_8
fatcat:mrsk7xytujefxj4xfahkc5vco4
Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort
[article]
2021
arXiv
pre-print
For this purpose, we combine an active learning (AL) approach with a pre-trained language model to semi-automatically identify annotation categories in the given text documents. ...
We propose a tool that enables researchers to create large, high-quality, annotated datasets with only a few manual annotations, thus strongly reducing annotation cost and effort. ...
Kerren, “PAL, a tool for Pre-
annotation and Active Learning,” Journal for Language Technology and ...
arXiv:2112.11914v1
fatcat:hjoltpz27jfhjn7dhcybivw26m
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
[article]
2021
arXiv
pre-print
A Bengali emotion corpus consists of 6243 texts is developed for the classification task. ...
However, unavailability of necessary language processing tools and deficiency of benchmark corpora makes the emotion classification task in Bengali more challenging and complicated. ...
Acknowledgements We sincerely acknowledge the anonymous reviewers and pre-submission mentor for their insightful suggestions, which help improve the work. ...
arXiv:2104.08613v1
fatcat:k6p4wflxhrflpl7zwqhmbxp4ey
Reducing systematic review workload through certainty-based screening
2014
Journal of Biomedical Informatics
Active learning is a promising approach to reduce the workload by automating some of the screening decisions, but it has been evaluated for a limited number of disciplines. ...
The most promising criterion and weighting method are the same regardless of the review topic, and unsupervised techniques like LDA have a possibility to boost the performance of active learning without ...
PAL WITH AU performs best for the earlier steps of active learning, similarly to AU with Uncertainty as in Fig. 4(a) , while other methods show similar performance and achieve better Utility scores. ...
doi:10.1016/j.jbi.2014.06.005
pmid:24954015
pmcid:PMC4199186
fatcat:5jr3hfyclrenvbhtdce5fjiflu
Opinion aspect extraction in Dutch childrens diary entries
[article]
2019
arXiv
pre-print
The aim of this study is three-fold: 1. create a new annotated dataset for both aspect extraction and opinion words for Dutch childrens language, 2. acquire aspect extraction results for this task and ...
Expressing an empathetic reaction to an opinion can strengthen the bond between a human and, for example, a robot. ...
and was collected for the PAL project. ...
arXiv:1910.10502v1
fatcat:ctcvw2vsevhxdfyws3vksa66cq
DR 4.4: Natural Multimodal Interaction Final Pro- totype
2019
Zenodo
For less experienced users, a graphical editor and compiler for hierarchical state machines has been implemented and is now ready for use. ...
In addition, some new functionalities were at the core of human-system interaction, namely a new module for rst time use of the system, and an integrated Off-Activity-Talk prototype, consisting of robot ...
Acknowledgements The research described in this paper has been funded by the Horizon 2020 Framework Programme of the European Union within the project PAL (Personal Assistant for healthy Lifestyle) under ...
doi:10.5281/zenodo.3443669
fatcat:ez7jk76vmncshlzoivgqftx4ji
Supervising Unsupervised Open Information Extraction Models
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
By employing multiple unsupervised Open IE systems, our system learns to combine the strength and avoid the weakness in each individual Open IE system. ...
structure as its input features and produces a sequence of word labels indicating whether the word belongs to a relation, the arguments of the relation or irrelevant. ...
Acknowledgment We gratefully acknowledge IBM for supporting this work.
References ...
doi:10.18653/v1/d19-1067
dblp:conf/emnlp/RoyPLP19
fatcat:4ziwkrxwyfaelh75u447ymy2qy
The Five Key Practices of Constructed Responses for Learning
[chapter]
2016
Constructed Responses for Learning
Acknowledgments In creating a robust instructional routine of constructed responses for learning, I recognize my debt to my wife and fellow educator, Arnelle, who reviews everything I write before it goes ...
My three adult children, Cortney, Erin, and Taylor, benefitted from the strategies in grades K-12 then helped me improve them to impact other students even more dramatically. ...
And, unfortunately, writing about what teachers who are in pre-service training are learning is not a required practice in new teacher preparation. ...
doi:10.4324/9781315679983-10
fatcat:q7u67entxvdedf5ujgrzmh4pvq
PAL DRs 6.4, 6.8, 6.12: Y4 Dissemination Report
[article]
2019
Zenodo
The present report describes the work carried out during the last project year regarding PAL's Dissemination and Communication activities. ...
It is the summary of three different WP6 Deliverables: Deliverable 6.4 "Website y4", Deliverable 6.8 "Publications and proceedings report y4" and Deliverable 6.12 "Dissemination events promoted y4" ...
, learning and adaptation for personalized assistance, analysis and recognition of daily living activities. ...
doi:10.5281/zenodo.4632882
fatcat:rsjdrbpxvjdoffumtwf2o3pmaq
DRs 6.4, 6.8, 6.12: Y4 Dissemination Report
2019
Zenodo
The present report describes the work carried out during the last project year regarding PAL's Dissemination and Communication activities. ...
It is the summary of three different WP6 Deliverables: Deliverable 6.4 "Website y4", Deliverable 6.8 "Publications and proceedings report y4" and Deliverable 6.12 "Dissemination events promoted y4" ...
, learning and adaptation for personalized assistance, analysis and recognition of daily living activities. ...
doi:10.5281/zenodo.3443714
fatcat:477acn7fpzem7fue453gl35t7a
Book Reviews
2017
Education Libraries
They stress the importance of teachers' attitudes, and willingness to seek advice and new ideas on how to adapt curriculum and activities for students with learning difficulties. ...
Karp has compiled a useful reference tool for professionals responsible for the coordination of service to the disabled library user. ...
doi:10.26443/el.v18i1.64
fatcat:gjt6kkroura45ftcnnyjsnj2lq
Peer Teaching to Foster Learning in Physiology
2015
Journal of Clinical and Diagnostic Research
Hence, while designing and implementing learning activities, focus should be diverted towards Peer assisted learning (PAL) activities. ...
To compare learning outcomes by peer teaching, a student led activity and tutorials, a teacher led activity.
5. ...
doi:10.7860/jcdr/2015/15018.6323
pmid:26435969
pmcid:PMC4576561
fatcat:mwz52pb46zbsfd3eltrkggmet4
Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features
[chapter]
2017
Lecture Notes in Computer Science
, security control and surveillance, biometrics, human-computer interaction (HCI) and social robotics. ...
In the past few years, human facial age estimation has drawn a lot of attention in the computer vision and pattern recognition communities because of its important applications in age-based image retrieval ...
The age estimator can use a machine learning approach to train a model for extracted features and make age prediction for query faces with the trained model. ...
doi:10.1007/978-3-319-56687-0_9
fatcat:gyayysgmrfe37noo6f7stakeki
Study of Factors Influencing the Adoption of Agile Processes When Using Wikis
2014
International journal of software engineering and knowledge engineering
We propose a framework based on social software to support the collaborative learning, adoption and improvement of SE processes through the exchange of experiences among individuals. ...
Social software can support and enhance this adoption process, so research needs to focus on how the exchange of knowledge among software engineers using these tools can help to perform training more effectively ...
[27] developed a PAL using a wiki as a lightweight repository of knowledge about agile software development, providing a more specific process structure for the PAL creation and management. ...
doi:10.1142/s0218194014400014
fatcat:3g3q75kxn5dvtenf6bidp5isaa
Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis
[chapter]
2017
Lecture Notes in Computer Science
To address this issue, in this paper the practicality of active learning for Telugu sentiment analysis is investigated. ...
Sentiment Analysis is one of the most active research areas in natural language processing and an extensively studied problem in data mining, web mining and text mining for English language. ...
Dataset Generation Unlike English, Telugu has neither a large annotated dataset and tools nor any pre-trained models. ...
doi:10.1007/978-3-319-64283-3_26
fatcat:qqps4slohnbzlbjptyvp7u5a74
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