The challenges of automatic summarization

Hahn, Udo; Mani, Inderjeet

doi:10.1109/2.881692

Cited by 256 publications

(131 citation statements)

References 9 publications

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“…Such previews may allow teachers to review/verify their multimedia instruction design and to improve the quality of authoring processes. A good starting point along such a research direction could be employing summarization techniques [9,21], which aim at producing abstraction of multimedia content. Main issues include the production of a unified form of abstractions to learning contents constructed by different types of media and ensuring that the abstractions produced are pedagogically meaningful.…”

Section: Effective Multimedia Instruction Authoringmentioning

confidence: 99%

Recent development in multimedia e-learning technologies

Lau

Yen

et al. 2013

World Wide Web

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract Multimedia and networking technologies have significantly impacted on our daily activities, particularly in terms of how we learn. Nowadays, classroom teaching no longer simply relies on chalk and blackboard as the prime medium for course dissemination. Elearning technologies have made it possible to provide a virtual classroom environment on the Web through supporting teacher-student and student-student communications, course material distribution as well as online student assessments. They provide students with more control over their learning schedule and pace. On top of this, multimedia technologies further offer students different forms of media to match their learning styles, leading to enhancements of their learning effectiveness. This extended introduction discusses the latest e-learning specific multimedia technologies, their research challenges and future trends from both pedagogical and technological perspectives. We also summarize the papers included in this special issue.

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Section: Effective Multimedia Instruction Authoringmentioning

confidence: 99%

Recent development in multimedia e-learning technologies

Lau

Yen

et al. 2013

World Wide Web

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“…Automatic text summarization systems are classified in two main categories: extractive and abstractive (Hahn & Mani, 2000). This last one is much closer to the kind of summarization made by humans and is naturally much more difficult to automate, since it requires a semantical and even pragmatical understanding of the text and knowledge of the world.…”

Section: Motivation and Objectivesmentioning

confidence: 99%

Rule Induction for Sentence Reduction

Cordeiro

Dias

Brazdil

2013

Progress in Artificial Intelligence

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Covilhã, Novembro de 2010ii I would like to dedicate this thesis to my loving wife, Adelina Amorim, and my three precious children: David, Tiago, and André.iii iv AcknowledgementsA work like this is almost impossible to be achieved by a single individual working alone.There are always several very important persons involved, more or less directly and in various levels: scientific, personal, or even in the sentimental/spiritual level. In this few lines I would like to express my deepest gratitude to those having been determinate for the conclusion of this long and hard work.I would like to start by acknowledging my supervisor, Prof. Doctor Gaël Harry Dias, for his constant and relentless support throughout this journey. He was indeed an always presently supporter, guiding me many times, and even motivating me toward new unexplored scientific and technological territories. My co-supervisor, Professor Pavel Bernard Brazdil, was equally very important for the developing and conclusion of this work. With his long experience as a leading scientist, every piece of advise received from him were carefully observed and incorporated here. I also want to thank all the teachers I had, spe- AbstractThe field of Automatic Sentence Reduction has been an active research topic, with several relevant approaches being recently proposed. However, in our view many milestones still need to be reached in order to approach human-like quality sentence simplification.In this work, we propose a new framework, which processes huge sets of web news stories and learns sentence reduction rules in a fully automated and unsupervised way. This is our main contribution. Our system is conceptually composed of several modules. In the first one, the system automatically extracts paraphrases from on-line news stories, using new lexically based functions that we have proposed. In our system's second module, the extracted paraphrases are transformed into aligned paraphrases, meaning that the two paraphrasic sentences get their words aligned through DNA-like sequence alignment algorithms, that has been conveniently adapted for aligning sequences of words. These alignments are then explored and specific text structures called bubbles are selected.Afterwards, these structures are transformed into learning instances and used in the last learning module that exploits techniques of Inductive Logic Programming. This module learns the rules for sentence reduction. Results show that this is a good approach for learning automatic sentence reduction, while some pertinent issues still need future investigation. KeywordsSentence reduction, sentence compression, sentence simplification, paraphrase extraction, paraphrase alignment, automatic text summarization, natural language processing, inductive logic programing, machine learning, artificial intelligence. Palavras-chaveRedução de frases, compressão de frases, simplificação de frases, extracção de paráfrases, alinhamento de paráfrases, sumarização automática de texto, processamento da linguagem natural, programaç...

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“…It requires almost the full understanding of the source data [18]. Moreover, as also recognized by [19], in order to perform the generation of an abstractive summary it is necessary to classify participants' contributions according to their informativeness and function in the conversation so that an appropriate ontology of the meeting could be adequately populated.…”

Section: Related Workmentioning

confidence: 99%

Abstractive Summarization of Voice Communications

Pallotta

Delmonte

Bristot

2011

Human Language Technology. Challenges for Computer Science and Linguistics

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Abstract. Abstract summarization of conversations is a very challenging task that requires full understanding of the dialog turns, their roles and relationships in the conversations. We present an efficient system, derived from a fullyfledged text analysis system that performs the necessary linguistic analysis of turns in conversations and provides useful argumentative labels to build synthetic abstractive summaries of conversations.

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The challenges of automatic summarization

Cited by 256 publications

References 9 publications

Recent development in multimedia e-learning technologies

Recent development in multimedia e-learning technologies

Rule Induction for Sentence Reduction

Abstractive Summarization of Voice Communications

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