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Development and Evaluation of an Intelligence and Learning System in Jurisprudence Text Mining in the Field of Competition Defense

Edna Dias Canedo, Valério Aymoré Martins, Vanessa Coelho Ribeiro, Vinicius Eloy dos Reis, Lucas Alexandre Carvalho Chaves, Rogério Machado Gravina, Felipe Alberto Moreira Dias, Fábio Lúcio Lopes de Mendonça, Ana Lucila Sandoval Orozco, Remis Balaniuk, Rafael T. de Sousa
2021 Applied Sciences  
In the similarity of legal decisions, jurisprudence seeks subsidies that provide stability, uniformity, and some predictability in the analysis of a case decided.  ...  Around 87% of the jurisprudence search systems use machine learning classification.  ...  "Systems should also perform the search for the content in full, not just the descriptors."  ... 
doi:10.3390/app112311365 fatcat:btuxpi65bng5fnzmyyto7zo3c4

OUP accepted manuscript

2019 Digital Scholarship in the Humanities  
This article presents technical approaches and innovations in digital library design developed during the design and implementation of the Chinese Text Project, a widely-used, large-scale full-text digital  ...  interface and reading environment, as well as an extensible platform for transcribing and working with premodern Chinese textual materials.  ...  et al., 2016) and the Text Tools textual analysis platform (Sturgeon 2018b ).  ... 
doi:10.1093/llc/fqz046 fatcat:sartnvyiufe57g4woyg4oais4q

Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice

Patricia Martin-Rodilla, Miguel Sánchez
2020 Information  
Viscourse is conceived as a complementary tool to assist textual analysis and to facilitate the reuse of informational pieces from discourse and argumentation text analysis tasks.  ...  The intrinsic characteristics of humanities research require technological support and software assistance that also necessarily goes through the analysis of textual narratives.  ...  , calculating general metrics for the full text analyzed. 2.  ... 
doi:10.3390/info11050256 fatcat:6rny2y4vljak5a5gf3vmhlmixe

The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval

Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo
2021 Journal of Imaging  
This paper describes in detail VISIONE, a video search system that allows users to search for videos using textual keywords, the occurrence of objects and their spatial relationships, the occurrence of  ...  In addition, we report an extensive analysis of the retrieval performance of the system, using the query logs generated during the Video Browser Showdown (VBS) 2019 competition.  ...  As already anticipated in Section 3.2, we call Annotation Search this searching option. The Annotation Search is executed performing a full-text search.  ... 
doi:10.3390/jimaging7050076 pmid:34460672 pmcid:PMC8321359 fatcat:gld5cjmiyvbcvfsw7eoolhhpgq

Content-based document image retrieval in complex document collections

G. Agam, S. Argamon, O. Frieder, D. Grossman, D. Lewis, Xiaofan Lin, Berrin A. Yanikoglu
2007 Document Recognition and Retrieval XIV  
Our prototype automatically generates rich metadata about a complex document and then applies query tools to integrate the metadata with text search.  ...  The indexing and analysis of large document collections is currently limited to textual features based OCR data and ignore the structural context of the document as well as important non-textual elements  ...  Primarily, document images contain text and thus can be indexed and searched based on noisy OCR-ed textual data.  ... 
doi:10.1117/12.703163 dblp:conf/drr/ArgamonFGL07 fatcat:v73nietpbvh6ldxxb6ouzi6u6i

Web Search Results Visualization

Kalliopi Kontiza, Antonis Bikakis
2014 Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14  
It argues for making use of text structure when retrieving from full text documents and presents a visualization paradigm called Tile-Bars.  ...  The result lists of popular web search engines represent retrieved documents with a title a brief textual summary and a URL into the conventional search result interface.  ...  information does not conform to the expectations of sophisticated display paradigms.A problem with applying similarity search to full-length text documents is that the structure of full text is quite  ... 
doi:10.1145/2611040.2611057 dblp:conf/wims/KontizaB14 fatcat:jz4srkypwngexflze6mlugoj5u

Detecting Inconsistencies Between Process Models and Textual Descriptions [chapter]

Han van der Aa, Henrik Leopold, Hajo A. Reijers
2015 Lecture Notes in Computer Science  
Text-based and model-based process descriptions have their own particular strengths and, as such, appeal to different stakeholders.  ...  To reduce the time and effort needed to repair such situations, this paper presents the first approach to automatically identify inconsistencies between a process model and a corresponding textual description  ...  The performance of the approach is further improved by including a linguistic analysis.  ... 
doi:10.1007/978-3-319-23063-4_6 fatcat:k7mbvp4rzngtjgrdk7ftrncc3q

Exploiting web browsing histories to identify user needs

Fabio Gasparetti, Alessandro Micarelli
2007 Proceedings of the 12th international conference on Intelligent user interfaces - IUI '07  
We also introduce an improvement based on machine learning techniques that is currently under evaluation.  ...  This work describes a technique to collect text relevant to the current needs from sequences of pages visited by the user.  ...  VIPS performs visual analysis of Web page structures in order to improve query expansion [2] .  ... 
doi:10.1145/1216295.1216358 dblp:conf/iui/GasparettiM07 fatcat:ppvrakkbvjbvtl4rnvgj2yvseq

Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption [article]

Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth
2021 arXiv   pre-print
Experimental results demonstrate that multimedia features can improve KG prediction. Finally, we provide an analysis on feature importance (text and multimedia) for KG prediction.  ...  Related work in this field, also called search as learning, has focused on behavioral or text resource features to predict learning outcome and knowledge gain.  ...  Particularly image and video features improved the classification notably when used jointly with text-based features.  ... 
arXiv:2106.06244v1 fatcat:nwefbkcjbjecrh45bfvedb4lgq

Learning to Win by Reading Manuals in a Monte-Carlo Framework

S.R.K. Branavan, D. Silver, R. Barzilay
2012 The Journal of Artificial Intelligence Research  
the text to improve control performance.  ...  Both text analysis and control strategies are learned jointly using only a feedback signal inherent to the application.  ...  game state, a deeper syntactic analysis of the extracted text substantially improves performance.  ... 
doi:10.1613/jair.3484 fatcat:3ueo47y3arhdpetfxcdubifr6e

The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval [article]

Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo
2021 arXiv   pre-print
In addition, we report an extensive analysis of the system retrieval performance, using the query logs generated during the Video Browser Showdown (VBS) 2019 competition.  ...  In this paper, we describe in details VISIONE, a video search system that allows users to search for videos using textual keywords, occurrence of objects and their spatial relationships, occurrence of  ...  Acknowledgements This work was partially funded by "Smart News: Social sensing for breaking news", CUP CIPE D58C15000270008, by VISECH ARCO-CNR, CUP B56J17001330004, and by "Automatic Data and documents Analysis  ... 
arXiv:2008.02749v2 fatcat:whagjaayibhd5dwbz5gkos7kf4

Bring It on! Challenges Encountered While Building a Comprehensive Tutoring System Using ReaderBench [chapter]

Marilena Panaite, Mihai Dascalu, Amy Johnson, Renu Balyan, Jianmin Dai, Danielle S. McNamara, Stefan Trausan-Matu
2018 Lecture Notes in Computer Science  
The SVM model hyper-parameters were optimized using grid search approach with 4,109 different selfexplanations scored 0 to 3 (i.e., poor to great).  ...  This paper describes the challenges encountered while implementing an automated evaluation workflow and adopting solutions for increasing performance of the tutoring system.  ...  In order to address this issue, the grid-search optimization was performed on the full processing pipeline including the SVM, and parameters with the best average prediction were selected.  ... 
doi:10.1007/978-3-319-93843-1_30 fatcat:uxsua3sscnb53ererrgahmseue

Text-based Person Search in Full Images via Semantic-Driven Proposal Generation [article]

Shizhou Zhang, Duo Long, Yitao Gao, Liying Gao, Qian Zhang, Kai Niu, Yanning Zhang
2021 arXiv   pre-print
Besides, a cross-scale visual-semantic embedding mechanism is utilized to improve the performance.  ...  To close the gap, we study the problem of text-based person search in full images by proposing a new end-to-end learning framework which jointly optimize the pedestrian detection, identification and visual-semantic  ...  The textual descriptions contain abundant noun phrases and various sentence structures. And we give a statistical analysis of the text description in both datasets.  ... 
arXiv:2109.12965v1 fatcat:xws4cmklxbh4pjwtbubxt5cqgu

Co-reranking by mutual reinforcement for image search

Ting Yao, Tao Mei, Chong-Wah Ngo
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
Observing that multi-modality cues carry complementary relevant information, we propose the idea of co-reranking for image search, by jointly exploring the visual and textual information.  ...  Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results.  ...  Co-reranking is performed by iterative propagation of visual (textual) edge weights on textual (visual) description through separate random walks on two graphs.  ... 
doi:10.1145/1816041.1816048 dblp:conf/civr/YaoMN10 fatcat:6jeidijmmbbm3cqeb7sx5jwpam

Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media [article]

Agnese Chiatti, Mu Jung Cho, Anupriya Gagneja, Xiao Yang, Miriam Brinberg, Katie Roehrick, Sagnik Ray Choudhury, Nilam Ram, Byron Reeves and C. Lee Giles
2018 arXiv   pre-print
text and metadata based on a structured schema, (iv) index the resulting document collection, and (v) allow for Image Retrieval through a dedicated vertical search engine application.  ...  We discuss issues of Text Information Extraction and Retrieval that are particular to the screenshot image case and suggest important future work.  ...  INTRODUCTION Individuals increasingly record, share, and search through their daily activities and behaviors through digital means.  ... 
arXiv:1801.01316v1 fatcat:y56cjn7nrrf5xgolceimrs6h3q
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