Search results for "Summarization"
showing 10 items of 12 documents
L'estrazione automatica dei ruoli semantici corradicali. The importance of being Cognate
2022
This study will introduce a tool – termed NLPYTALY – for the automatictreatment of naturally-occurring texts in Italian. The tool distinguishesconstructs with an ordinary verb from those with a support verb. Mean-ing is rendered by using cognate (i.e. etymologically related) semantic roles (CSR), which differ from other roles because they are expressed withthe content morpheme of the predicate licensing arguments. CSRs offer anumber of advantages: they can be semi-automatically derived and use the who-does-what model. Besides, they facilitate the detection of anaphoric chains and produce a foreground/background opposition of the namedentities. Finally, they permit the construction of a chro…
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration’s content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…
Nonthermally driven volatilome evolution of food matrices: The case of high pressure processing
2020
Abstract Background The adoption of innovative nonthermal processing as alternatives to conventional heating techniques in the food industry is mainly relied on their tremendous potential to simultaneously achieve preservation purposes and the maintenance of fresh-like characteristics and health benefits of final products. With increasing evaluation for the applicability of nonthermal processing, there remains, however, a great challenge for keeping the balance between the efficiency of microbial/enzymatic inactivation and the maintenance of sensory and nutritional characteristics. Accordingly, a timely summarization and elucidation of the response pattern and mechanism of related quality p…
Filtering Real World Networks: A Correlation Analysis of Statistical Backbone Techniques
2023
Networks are an invaluable tool for representing and understanding complex systems. They offer a wide range of applications, including identifying crucial nodes, uncovering communities, and exploring network formation. However, when dealing with large networks, the computational challenge can be overwhelming. Fortunately, researchers have developed several techniques to address this issue by reducing network size while preserving its fundamental properties [1-9]. To achieve this goal, two main approaches have emerged: structural and statistical methods. Structural methods aim to keep a set of topological features of the network while reducing its size. In contrast, statistical methods elimi…
NetBone: A Python Package for Extracting Backbones of Weighted Networks
2023
NetBone is a new open-source Python package designed to simplify analyzing complex networks. With a wide range of techniques available, Net-Bone allows researchers to extract the backbone of a network while preserving its essential structure. The package includes nine structural methods and five statistical techniques, offering users a comprehensive solution to network analysis. It is user-friendly and straightforward to use, with easy installation. The package accepts different types of inputs, including data frames or Networkx graphs, and provides evaluation measures for comparative purposes. Additionally, NetBone offers an option to generate plots. Its versatility makes it a valuable too…
Effects of summarization tasks on comprehension monitoring of science texts in university students with elementary or intermediate English proficiency
2012
Two studies were conducted to improve Spanish university students" comprehension monitoring of macro-ideas when reading expository Science texts in English (L2). The first one evaluated the effects of using summarization tasks on comprehension monitoring compared to other reading-for-understanding tasks. A significant improvement of comprehension monitoring was obtained from the summarization tasks. Results in study 1 suggested study 2 aimed at instructing students on summarizing texts in L2. The instructional work had a single significant contribution to students" comprehension monitoring on the macro-structural level. English proficiency also explained a significant proportion of the vari…
Semantic Word Error Rate for Sentence Similarity
2016
Sentence similarity measures have applications in several tasks, including: Machine Translation, Paraphrase Iden- tification, Speech Recognition, Question-answering and Text Summarization. However, measures designed for these tasks are aimed at assessing equivalence rather than resemblance, partly departing from human cognition of similarity. While this is reasonable for these activities, it hinders the applicability of sentence similarity measures to other tasks. We therefore propose a new sentence similarity measure specifically designed for resemblance evaluation, in order to cover these fields better. Experimental results are discussed.
A comprehensive survey of multi-view video summarization
2021
[EN] There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive amount of data requires efficient mechanisms such as video summarization to ensure that only significant data are reported and the redundancy is reduced. Multi-view video summarization (MVS) is a less redundant and more concise way of providing information from the video content of all the cameras in the form of either keyframes or video segments. This paper presents an overview of the existing strategies proposed for MVS, including their advantages and drawbacks. Our survey covers the genericsteps in MVS, such as the pre-proce…
The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring
2018
The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes. The Platform offers a fully automated media ingestion pipeline capable of recording live broadcasts, detection and transcription of spoken content, translation of all text (original or transcribed) into English, recognition and linking of Named Entities, topic detection, clustering and crosslingual multi-document summarization of related media items, and last but not least, extraction and storage of factual claims in these news items. Browser-based graphical user interfaces provide humans…
Keyword Based Keyframe Extraction in Online Video Collections
2015
Keyframe extraction methods aim to find in a video sequence the most significant frames, according to specific criteria. In this paper we propose a new method to search, in a video database, for frames that are related to a given keyword, and to extract the best ones, according to a proposed quality factor. We first exploit a speech to text algorithm to extract automatic captions from all the video in a specific domain database. Then we select only those sequences (clips), whose captions include a given keyword, thus discarding a lot of information that is useless for our purposes. Each retrieved clip is then divided into shots, using a video segmentation method, that is based on the SURF d…