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<s>Security. Available online: https://www.dhs.gov/see-something-say-something/what-suspicious-activity (accessed on 13 April 2019).35. Dash, N.S.; Ramamoorthy; Naicker, L. Utility & Application of Language Corpora; Springer: Singapore, 2019 ;pp. 17–34.36. Magatti, D.; Calegari, S.; Ciucci, D.; Stella, F. Automatic lab... |
<s>Xin, Y.; Kong, L.; Liu, Z.; Chen, Y.; Li, Y.; Zhu, H.; Gao, M.; Hou, H.; Wang, C. Machine learning and deeplearning methods for cybersecurity. IEEE Access 2018, 6, 35365–35381. [CrossRef]Sample Availability: Samples of the compounds are available from the authors.c© 2020 by the authors. Licensee MDPI, Basel, Switzer... |
<s>Bengali Text generation Using Bi-directional RNNBengali Text generation Using Bi-directional RNNSheikh Abujar Dept. of CSE Daffodil International University Dhaka, Bangladesh sheikh.cse@diu.edu.bd Abu Kaisar Mohammad Masum Dept. of CSE Daffodil International University Dhaka, Bangladesh mohammad15-6759@diu.edu.bd S.... |
<s>work has been done on this field more is needed to make it useful. Different researchers are developing new algorithms and techniques as well as new model to improve current result of text generations. Some of them will be discussed in this section. Partha Pratim Barman et al. (2018) worked on a next word prediction... |
<s>the data training and testing up to 15 times of present techniques. In this analysis they used back propagation algorithm and this technique provides better accuracy than the basic algorithms. Yoshua Bengio et al. (2013) worked on a probabilistic model for language analysis using neural network [8]. In this research... |
<s>a clean dataset to create content. So for clean information, we expel whitespace, digits, accentuation from Bengali content and expel Bengali prevent words from a Bengali stop word content record. At long last, we clean the content and make a rundown which contains content with their summary. At that point, we make ... |
<s>and another is Backward, both are the opposite direction. Output dense get the information from forward and backwards. Past information provides by backwards direction and next or predicting sequence provides forward direction. Figure2: Bi-directional RNN The formula will be, ℎ = ∗ X + ℎ + (1) ℎ = ( ∗ X + ℎ + ) (2) ... |
<s>The softmax activation is the calculated initiation work or logistic activation, which is utilized to manage order issues. It keeps up the yield somewhere in the range of 0 and 1 counts likelihood or probability. The recipe for softmax activation is, (Z) = ∑ (10) Here, z is the contributions to the output layer and ... |
<s>Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction,” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 30-38, 2016. 3. M. Sundermeyer, R. Schlüter, H. Ney, “LSTM Neural Networks for Language Modeling,” In 13th Annual Conference of the International Speech... |
<s>2] /VSamples [2 1 1 2] /JPEG2000ColorACSImageDict << /TileWidth 256 /TileHeight 256 /Quality 15 /JPEG2000ColorImageDict << /TileWidth 256 /TileHeight 256 /Quality 15 /AntiAliasGrayImages false /CropGrayImages true /GrayImageMinResolution 200 /GrayImageMinResolutionPolicy /OK /DownsampleGrayImages true /GrayImageDown... |
<s>See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/330421056A Rule Based Extractive Text Summarization Technique for Bangla NewsDocumentsArticle in International Journal of Modern Education and Computer Science · December 2018DOI: 10.5815/ijmecs.2018.12.06CI... |
<s>invention and commercialization of Internet all over the world in the late 1990s. People started to publish news over Internet. Those newspapers which publish its news over Internet are called online newspaper. After the development of Internet in Bangladesh, online newspaper gain popularity day by day. The First Ba... |
<s>Additionally, grammatical rule of this language is too much inconsistence. In this challenging context, a new approach for Bangla news document summarization has been presented here using rule based approach with the following major contributions. i. Introduced graph based sentence scoring features for Bangla news d... |
<s>frequency, and (v) numerical data. They have taken 40% higher ranked sentences from the input document as summary. In 2012, Kamal Sarkar [10] proposed an easy-to-implement approach for Bangla news summarization like the method of Edmandson [25]. It has three major steps: (i) preprocessing, (ii) sentence ranking, and... |
<s>sentence scoring features, ranking the sentences, and selecting summary delineated below. 3.1 Document Preprocessing Preprocessing is the first step of our method which is started from user input of a Bangla news document and goes through preprocessing of the document. Input news document is segmented to sentences b... |
<s>a document and edge_weight is the similarity between the sentences si and sj. If aggregate similarity score for a sentence is A Rule Based Extractive Text Summarization Technique for Bangla News Documents 47 Copyright © 2018 MECS I.J. Modern Education and Computer Science, 2018, 12, 44-53 greater than 1, then score ... |
<s>selected as keyword. Keyword of sentence si = NKeysTNWowrds (6) Here, NKeys denotes the total number of keywords in a sentence and TNWords denotes the total number of words present in a sentence. 3.2.3 Surface level features Different surface level sentence scoring features are used in the literature. Among them, se... |
<s>Sentence containing numerical data are good candidate to be included in summary. In our proposed method, numerical figure identification pattern is used to identify numerical value. Numerical value is calculated by using the following equation: Numerical value of si = No.of Numerical Words Total Number of Words (10)... |
<s>sorted in descending order. This sorted list is the rank list of sentences of that news document. 3.4 Summary Generation This is final step of our proposed methodology. For summary generation, temporarily top 40% sentence will be extracted as summary from the rank list. This summary percentage is taken empirically. ... |
<s>3 STF-ISF TF-ISF score based on equation 4 and SN Numerical figure score based on equation SKW key word Score based on equation 6 SP sentence positional score based on equation 7 SDate presence of date score based on equation 13 SCW cue word score based on equation 9 SIV_C presence of inverted comma score b... |
<s>dataset has been used by several Bangla Natural Language Processing researchers in recent years. Point to be noted that several research works on Bangla news Summarization have been published based on these datasets [10, 11, 12, 20]. We have used this dataset [24] for evaluating our proposed method. We divide the da... |
<s>aggregate similarity, bushy path, key word in sentence etc. are newly used features in the field of Bangla news summarization. For these reasons, proposed method performed better than the previous methods.Data Set Different Measurement Value Average Recall Average Precision Average F_Measure Data Set1 0.6637533 0.60... |
<s>10.64% 21.20% 14.34% Method5 1.66% 10.40% 4.54% 52 A Rule Based Extractive Text Summarization Technique for Bangla News Documents Copyright © 2018 MECS I.J. Modern Education and Computer Science, 2018, 12, 44-53 ACKNOWLEDGMENT We would like to give thanks to Information and Communication Technology (ICT) Division, M... |
<s>Computing, Communication and Networking Technologies (ICCCNT), 2017 8th International Conference on (pp. 1-8). IEEE. [18] R. B. System. (2017) Rule based system. Retrieved from http://www.j-paine.org/students/ lectures/lect3/node5.html. [Online; accessed 01-April-2017]. [19] Oliveira, H., Ferreira, R., Lima, R., Lin... |
<s>has completed both B.Sc. and M.Sc. degree in CSE from the University of Dhaka. He also completed PhD from the University of Tokyo, Japan. Currently, he is working as an Associate Professor at the Department of Computer Science and Engineering, University of Dhaka. His research interests include NLP, Information Retr... |
<s>Automatic Bangla Text Summarization Using Term Frequency and Semantic Similarity Approach2018 21st International Conference on Computer and Information Technology (ICCIT), 21-23 December, 2018 978-1-5386-9242-4/18/$31.00 ©2018 IEEE Automatic Bangla Text Summarization Using Term Frequency and Semantic Similarity Appr... |
<s>can be classified based on several criteria. The different dimension of text summarization can be generally categorized based on its input type, purpose and output types [5]. There is also another type of classification which is based on the uses of external resources. The diagram below shows the summarization types... |
<s>and discussion are mentioned in Section IV. Finally, Section V includes the conclusion with the future plan. II. RELATED WORKS In the last several years, a significant amount of extractive algorithms based on several features have been developed. R. Mihalcea and P. Tarau proposed a sentence ranking based approach in... |
<s>fitness function. The fitness function works with about 21 different features. Each of the features has several scores and the sum of those features multiplied by a constant value will result in the sentence score. A hybrid function is introduced by AL-Khassawneh, Salim, Jarrah in [6]. This hybrid function is used a... |
<s>on the meaning of a sentence. A self-implemented library of stopwords is designed in these cases although these are not enough and the contribution process is still going on. (c) Lemmatization: There are several words in different formations like শহর, শহের, শহেরর, শহরতলী, শহর েলা, শহরস হ etc. They basically denote t... |
<s>each edge is the similarity between two nodes, i.e., two sentences. To calculate the semantic, we have to consider two semantic similarity calculations, namely, word order and sentence order. The combination of those two similarities is actually the weight of the edge between any two sentences, i.e., the similarity ... |
<s>= 𝛿𝑆 + (1 − 𝛿)𝑆 = 𝛿 𝑠 . 𝑠‖𝑠 ‖. ‖𝑠 ‖+ (1 − 𝛿)‖𝑟 − 𝑟 ‖‖𝑟 + 𝑟 ‖ … … … (8) The algorithm of the semantic similarity based approach is given as follows – SemSimSum(Sentence 𝑠 , Sentence 𝑠 ) 1. Set 𝛼 = 0.2, 𝛽 = 0.45, 𝜂 = 0.4, 𝜑 = 0.2, 𝛿 = 0.85 2. Make a word vector by doing union of 𝑠 and 𝑠 3. f(l) ... |
<s>ভােলা খাবােরর ন না িহেসেব য-তািলকা দওয়া হেয়েছ, তা হেলা কলার পাতায় গরম ভাত, গাওয়া িঘ, নািলতা শাক, মৗরালা মাছ আর খািনকটা ধ । লাউ, ব ন ইত ািদ তরকাির র খত সকােলর বাঙািলরা, িক ডাল তখেনা বাধহয় খেত কেরিন । মাছ তা ি য় ব ই িছল । িবেশষ কের ইিলশ মাছ । ঁ টিকর চল সকােলও িছল িবেশষ কের দি ণা েল । ছাগেলর মাংস সবাই খত । হিরেণর মাংস ... |
<s>রাই দায়ী িক িশ েকর দখােনা পেথ ছা যিদ হাঁটেত না পাের স অেযা তা মা ছাে র িশ পথ হেল স র ভার িশ েকই স ভার র উপর চািপেয় িদেল তা কখনও িবচার হয় নাম ল কামনা কেরন এবং ক ােণর পথই দিখেয় থােকন িকসাধেন যিদ িশে র সাধনায় থােক, তেব তা একা ই িশে রTerm Frequency Output: র দখােনা পেথ, প ায় হেট যেত হেব িশে র িনেজেকই মা িশ েকপােরন কান প... |
<s>words, title similarity, thematic features, named entiBased on the execution time, the term frequency approach is pretty faster (shown in Figure 2) but for retrieving a better quality summary, the semantic similarity approach is much better. V. Conclusion and Future WorksIn this paper, to summarize a sitext, two app... |
<s>to summarize a single document Bangla , term frequency and semantic based approaches are implemented. the calculations of the frequency of terms in the content and the other one is based on the semantic and word order similarity between sentences. Both approaches are extraction based and return a set of sentences fr... |
<s>in information retrieval, New Orleans, Louisiana, USA, pp. 19–25, 2001. [18] Yuhua Li, McLean, Zuhair A. Bandar, James D. O'Shea, and Keely Crockett, “Setnece Similarity Based on Semantic Nets and Corpus Statistics,” IEEE Transactions on Knowledge and Data Engineering, vol. 18, Iss. 8, pp. 1138 – 1150, 2006. [19] Yo... |
<s>Paper Title (use style: paper title)See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/317645830A Heuristic Approach of Text Summarization for Bengali DocumentationConference Paper · July 2017DOI: 10.1109/ICCCNT.2017.8204166CITATIONSREADS7134 authors:Some of... |
<s>clearly. It will have to maintain a standard summarization procedure everywhere and more importantly it will help saving time and efforts both. Text summarization is the process of automatically preparing a concise statement of any given text. English text summarization had a revolutionary research output and curren... |
<s>extractive summary[1]. This section describes previous works, related to those phases and state of arts research. Rafel, et al. explained all the basic requirements of extractive research approaches including those three features, are - Text analysis, sentence scoring and summarizing [1]. Here fifteen (15) different... |
<s>Similar sentences may not took position sequentially or in very near position. So standard deviation of sentences will help to identify the positional difference between sentences. From there, dependent and optimal sentences could be identified. Identifying Cue words or leading words, had already implemented in othe... |
<s>be processed at least once before summarization. In Bengali language, sentences may not associated in any order. Before ranking those sentences or words individually, it is important to prepare those sentences to get better and accurate sentence score. Scoring methods was divided in two different segments - sentence... |
<s>the similar words and set of similar tokens indeed. Similar tokens will help to find out the amount of detached words and provide a set of similar words. Through this, it is possible to trace the relationship among sentences and finally avoid sentence redundancy. Stemming will work like, consider there are few words... |
<s>numeric values could be found and those addressed precise information. The sentences containing numeric values will be considered as a high priority token for preliminary prime sentence clustering segment. (c) Repeated Words distance – Similar words rarely used twice in a sentence. In a passage similar or related se... |
<s>information in that sentence may not enough to represent the summation of a scenario. So, calculating mean value of those Sentence length will give a minimum acceptance rate for prime sentence, as well help to identify the Sentence position. (c) Sentence Position– Position of sentences has very significant influence... |
<s>linguistic and semantic rules. By identifying 0 5 10 15 20 25 30Absolute Deviation Factor (AD)IEEE - 402228th ICCCNT 2017 July 3 -5, 2017, IIT Delhi, Delhi, India those linking words, will help to extract related sentence, as well. Fig 3. Example of Imitating Sentences detection. Basically here the Imitating Sentenc... |
<s>for sentence 1, because the ratio of Wk and TWis also higher than other sentence. 3.1.6 Final Processing In this proposed method, words and sentences were clustered in three different ways. Through the deep analysis of input document by Word and Sentence Analysis, prime sentences were categorized for producing quali... |
<s>a news article summarization is given below. Original Text – ক্যামেরুমে ট্রেে লাইেচ্য যত হমে নেহত ৫৩ পনিে আনিক্ার ট্রেশ ক্যামেরুমে অনতনরক্ত যাত্রীবাহী এক্টি ট্রেে লাইেচ্য যত হমে ক্েপমে ৫৩ জে নেহত ও ৩০০ জে আহত হমেমে । গত ক্াল শুক্রবার ট্রেশটির রাজধােী ইোউমে ও অর্থনেনতক্ ট্রক্ন্দ্রস্থল দুমোলা শহমরর েমধয যাতাোত ক্রা... |
<s>Identification for Bangla”, Jadavpur University, Kolkata 700032, India, 2011. [4] Harsha Dave and Shree Jaswal, “Multiple Text Document Summarization System using hybrid Summarization technique” NGCT-2015, Dehradun, India, 4-5 September 2015. [5] Efat, Md Iftekharul Alam, Mohammad Ibrahim, and Humayun Kayesh. "Autom... |
<s>approaches." International Journal of Computer Applications 68.13 (2013). [22] Bär, Daniel, Torsten Zesch, and Iryna Gurevych. "DKPro Similarity: An Open Source Framework for Text Similarity." ACL (Conference System Demonstrations). 2013. [23] Huang, Anna. "Similarity measures for text document clustering." Proceedi... |
<s>Enhaneement ofKeyphrase-Based Approach of Automatie Bangla Text Summarization Md. Majharul Haque, Suraiya Pervin Department of Computer Science & Engineering University ofDhaka Dhaka-l000, Bangladesh Email: mazharul_ 13@yahoo.com.suraiya@du.ac.bd Abstract-An approach of automatie Bangla text summarization is present... |
<s>researchers [7, 8] worked on some features (already implemented for English [4]) for Bangla text summarization and fine-tuned for better performance in [9]. Apart from the previous approaches, keyphrase based summarization method outperforms for both Bangla and English text, which was proposed by Sarkar in 2014 [2].... |
<s>others [16, 17] because sequence of words are extracted here as keyphrases and there is a specific way of redundancy elimination. In this method [2], when any sentence is selected for summary, selected sentence may contain one or more keyphrases. So, keyphrases which exist in the previously selected sentence(s), kee... |
<s>proposed enhancement. An experiment has been done with 200 news documents and 600 model summaries (three summaries are for each document) by removing keyphrases with length 1 (single word). In the experiment, the F-measure score is increased from 0.4513 (minimum length of keyphrases is I) to 0.4625 (minimum length o... |
<s>will be wrong selection for 22% (100 - 78) times. But, after scrutinizing one step ahead, it has been found that if the first sentence contains any title word, it is existed in summary for 88% times where error rate is 12% (100-88). So, it is proposed here that the first sentence is selected in summary if it contain... |
<s>IV). The remarkable point is that position of sentence and text title have been considered in several existing methods [4, 12]. And, numerical figure (in digits) has already been counted in [13] . But, to the best of our knowledge, (i) selecting the first sentence if it contains any title word and (ii) counting nume... |
<s>user but in our implementation, one third sentences are selected as final summary. Performance has been measured after incorporating each proposed feature and clearly shown the step by step progress ofperformance in the fig. I. Based on the result in fig. I, it is apparent that every incorporated feature is importan... |
<s>introduction part of this paper. In the overview, it has been indicated with reference that most of the incorporated features in various existing methods of Bangla text summarization were collected from the methods of English text. In this regard, the two introduced features for enhancements (i. considering the firs... |
<s>Khan, "A Study on Text Summarization Techniques and Implement Few of Them for Bangla Language," I Oth International conference on Computer and Information technology, IEEE, pp. 1-4, 2007. [14] Turney, P. D., " Learning algorithms for keyphrase extraction," Information Retrieval , vol. 2, no. 4, pp. 303- 336, 2000. [... |
<s>DOI: 10.4018/IJTD.20201001.oaInternational Journal of Technology DiffusionVolume 11 • Issue 4 • October-December 2020This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, di... |
<s>were started with English text. The automatic English text summarization has begun around five decades ago by Luhn (1958) based on term-frequency. It was extended by Baxendale (1958) by incorporating the position of sentences and cue-phrases for sentence ranking. Edmundson (1969) included three additional features a... |
<s>of them are coming to the scene. So, e-contents in Bangla are dramatically increasing throughout the cyber world. In these circumstances, to cope-up with this large volume of text, automatic Bangla text summarization would be an invaluable solution.We believe the following scenario will reveal the utmost importance ... |
<s>can determine different terms, abbreviations, tags, sentence’ boundary, headings, and titles. This method has the following modules: 1) TF-IDF (term frequency-inverse document frequency) calculation module, 2) keyword search module, and 3) summary generation module. It has utilized the concept of useful, unimportant... |
<s>one model summary has been used for each of the test document but more model summaries can be developed for sophisticated evaluation results (Haque, Pervin, & Begum, 2016).In 2012, Sarkar (2012b) proposed another method by tuning each feature of his previous method (Sarkar, 2012a) for better summarization performanc... |
<s>blueprints where the identified attributes are set according to this blueprint. Attributes are primary pieces of information as follows - NAME, PLACE, DOB (date of birth), DOD (date of demise), and AWARDS. The most significant part of this system is the template-based sentence generation where templates are generic ... |
<s>term-frequency calculation has not been mentioned. After selecting the final International Journal of Technology DiffusionVolume 11 • Issue 4 • October-December 2020summary sentences, there is no direction for the ordering of the sentences of different sources which is very much necessary to make the text lucid and ... |
<s>by cosine similarity is very much conventional which works on directly matching of terms between two sentences (Yang, Cai, Zhang, & Shi, 2014). This clustering strategy can be updated by utilizing background knowledge from Banglapedia so that two different terms can be matched semantically and lexically. In the upda... |
<s>dangling pronoun from summary. After replacing pronoun by the corresponding noun, sentences are ranked by considering (i) term frequency, (ii) sentence frequency, (iii) numerical figures and (iv) title words. Dependency parsing has been introduced here for general and special tagging of unknown words based on the ta... |
<s>rate. Cue words have been considered though positive or negative cue words could be differentiated for the improvement. Imitating of sentences is taken care of so that redundancy can be minimized but a similar feature has already been proposed in (Haque, Pervin, & Begum, 2015) as sentence frequency which has not bee... |
<s>sentence of the primary summary and also distinguish the structure of all the related sentences. Finally, simplified sentences are generated for each sentence and place in the appropriate position. The evaluation of this method has been accomplished with a human-generated summary for six different documents.Discussi... |
<s>(3)To show the impact of features in the betterment of summary generation, some distinguished features have been selected to apply as follows:1. Pronoun replacing by the corresponding noun to minimize the number of dangling pronouns;2. Sentence ranking by:a. Term frequency inverse document frequency calculation;b. S... |
<s>performance;7. Considering the First Sentence Specially: The first sentence of every document is considered as important (Haque, Pervin, & Begum, 2015) which is also considered by us.In Figure 1, all the above features has been added one by one and the utilized features in each step include all the features of the p... |
<s>the document and mapped with the template of sentence for summary sentence generation.The system achieved an average of 86.24% precision, 78.93% recall, and 81.5% F-measure while intrinsic evaluation.7 Uddin et al. (2014)i) Term frequency ii) Cosine similarity among sentences iii) A* (Aker et al., 2010) searching al... |
<s>sentences will be in higher rank. Moreover, the first sentence is included in summary always if it contains any title word.F-measure scores have been found as 0.6003 and 0.5708 for ROUGE-1 and ROUGE-2 respectively by the evaluation with a publicly available dataset from (“Dataset”, 2016). Comparison has been turned ... |
<s>different from English. After all, this little number of efforts is raising hope for a more sophisticated methodology soon. It is also expected that this review paper will help the next generation to know the basement of research works in Bangla text summarization and to get the direction of future works.Our future ... |
<s>Text Summarization Technique for Bangla News Documents. International Journal of Modern Education and Computer Science, 10(12), 44–53. doi:10.5815/ijmecs.2018.12.06Gupta, V. (2013). A Survey of Text Summarizers for Indian Languages and Comparison of their Performance. Journal of Emerging Technologies in Web Intellig... |
<s>In Proceedings of International Conference on Business and Information Management (pp. 233-245). NIT Durgapur.Sarkar, K. (2012b). An approach to summarizing Bengali news documents. Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 857-862. doi:10.1145/2345396.23455... |
<s>DOI: 10.4018/IJTD.20201001.oaInternational Journal of Technology DiffusionVolume 11 • Issue 4 • October-December 2020This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, di... |
<s>were started with English text. The automatic English text summarization has begun around five decades ago by Luhn (1958) based on term-frequency. It was extended by Baxendale (1958) by incorporating the position of sentences and cue-phrases for sentence ranking. Edmundson (1969) included three additional features a... |
<s>of them are coming to the scene. So, e-contents in Bangla are dramatically increasing throughout the cyber world. In these circumstances, to cope-up with this large volume of text, automatic Bangla text summarization would be an invaluable solution.We believe the following scenario will reveal the utmost importance ... |
<s>can determine different terms, abbreviations, tags, sentence’ boundary, headings, and titles. This method has the following modules: 1) TF-IDF (term frequency-inverse document frequency) calculation module, 2) keyword search module, and 3) summary generation module. It has utilized the concept of useful, unimportant... |
<s>one model summary has been used for each of the test document but more model summaries can be developed for sophisticated evaluation results (Haque, Pervin, & Begum, 2016).In 2012, Sarkar (2012b) proposed another method by tuning each feature of his previous method (Sarkar, 2012a) for better summarization performanc... |
<s>blueprints where the identified attributes are set according to this blueprint. Attributes are primary pieces of information as follows - NAME, PLACE, DOB (date of birth), DOD (date of demise), and AWARDS. The most significant part of this system is the template-based sentence generation where templates are generic ... |
<s>term-frequency calculation has not been mentioned. After selecting the final International Journal of Technology DiffusionVolume 11 • Issue 4 • October-December 2020summary sentences, there is no direction for the ordering of the sentences of different sources which is very much necessary to make the text lucid and ... |
<s>by cosine similarity is very much conventional which works on directly matching of terms between two sentences (Yang, Cai, Zhang, & Shi, 2014). This clustering strategy can be updated by utilizing background knowledge from Banglapedia so that two different terms can be matched semantically and lexically. In the upda... |
<s>dangling pronoun from summary. After replacing pronoun by the corresponding noun, sentences are ranked by considering (i) term frequency, (ii) sentence frequency, (iii) numerical figures and (iv) title words. Dependency parsing has been introduced here for general and special tagging of unknown words based on the ta... |
<s>rate. Cue words have been considered though positive or negative cue words could be differentiated for the improvement. Imitating of sentences is taken care of so that redundancy can be minimized but a similar feature has already been proposed in (Haque, Pervin, & Begum, 2015) as sentence frequency which has not bee... |
<s>sentence of the primary summary and also distinguish the structure of all the related sentences. Finally, simplified sentences are generated for each sentence and place in the appropriate position. The evaluation of this method has been accomplished with a human-generated summary for six different documents.Discussi... |
<s>(3)To show the impact of features in the betterment of summary generation, some distinguished features have been selected to apply as follows:1. Pronoun replacing by the corresponding noun to minimize the number of dangling pronouns;2. Sentence ranking by:a. Term frequency inverse document frequency calculation;b. S... |
<s>performance;7. Considering the First Sentence Specially: The first sentence of every document is considered as important (Haque, Pervin, & Begum, 2015) which is also considered by us.In Figure 1, all the above features has been added one by one and the utilized features in each step include all the features of the p... |
<s>the document and mapped with the template of sentence for summary sentence generation.The system achieved an average of 86.24% precision, 78.93% recall, and 81.5% F-measure while intrinsic evaluation.7 Uddin et al. (2014)i) Term frequency ii) Cosine similarity among sentences iii) A* (Aker et al., 2010) searching al... |
<s>sentences will be in higher rank. Moreover, the first sentence is included in summary always if it contains any title word.F-measure scores have been found as 0.6003 and 0.5708 for ROUGE-1 and ROUGE-2 respectively by the evaluation with a publicly available dataset from (“Dataset”, 2016). Comparison has been turned ... |
<s>different from English. After all, this little number of efforts is raising hope for a more sophisticated methodology soon. It is also expected that this review paper will help the next generation to know the basement of research works in Bangla text summarization and to get the direction of future works.Our future ... |
<s>Text Summarization Technique for Bangla News Documents. International Journal of Modern Education and Computer Science, 10(12), 44–53. doi:10.5815/ijmecs.2018.12.06Gupta, V. (2013). A Survey of Text Summarizers for Indian Languages and Comparison of their Performance. Journal of Emerging Technologies in Web Intellig... |
<s>In Proceedings of International Conference on Business and Information Management (pp. 233-245). NIT Durgapur.Sarkar, K. (2012b). An approach to summarizing Bengali news documents. Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 857-862. doi:10.1145/2345396.23455... |
<s>sv-lncsSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/344337986An Automated Bengali Text Summarization Technique Using Lexicon BasedApproachChapter · September 2020CITATIONSREADS7 authors, including:Some of the authors of this publication are also workin... |
<s>extractive and the abstractive approach. . Most of the summarizer methods for Bengali text summarization are extractive [3].In an automated text summarization process, a text is delivered to the computer and the computer returns a less-than-redundant extract or abstract of the original text (s). Text abstraction is ... |
<s>to tag (like noun, pronoun, adjective, verb, preposition, etc.). by using a lexicon database [1] and SentiWordNet [2]. The lexicon database and SentiWordNet has limited number of predefined words. Using lexicon database, the words can be tagged as „JJ‟ (Adjective), „NP‟ (Proper noun), „VM‟ (Verb), „NC‟ (Common Noun)... |
<s>sentence. So, the complexity of verb in Bangla can‟t be compared with English. A list of suffixes are considered as for the final checking in following: “ ”(itechhis), “ ” (techhis), “ ” (itis),“ ” (ile), “ ” (ibi), etc. Now, if the word has suffix, it is tagged as a verb. The result of word tagging has been improve... |
<s>(one), '' '' (two), '' '' (three), '' ''(four) to '' '' (ninety nine). The decimal point (.) is also considered when examining the numerical form from digits. b) The next part (if any) is followed by: '' '' (hundred), '' '' (thousand), etc. c) Finally, it can have suffixes such as, „' '' (this), '' ''(this)," "(en)e... |
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