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[PDF] Top 20 Discourse indicators for content selection in summarization

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Discourse indicators for content selection in summarization

Discourse indicators for content selection in summarization

... on summarization, graph models of text have been proposed that do not rely on dis- ...the discourse graphs from the Graph Bank (GB) corpus would be more helpful for determining content impor- tance ... See full document

10

Content Selection in Deep Learning Models of Summarization

Content Selection in Deep Learning Models of Summarization

... Content selection is a central component in many natural language generation tasks, where, given a generation goal, the system must determine which information should be expressed in the output text (Gatt ... See full document

15

Evaluating Content Selection in Summarization: The Pyramid Method

Evaluating Content Selection in Summarization: The Pyramid Method

... Evaluating content selection in summarization has proven to be a difficult ...for summarization (Lin and Hovy, ...for summarization (Rath et ... See full document

8

Automatically Evaluating Content Selection in Summarization without Human Models

Automatically Evaluating Content Selection in Summarization without Human Models

... of content selection quality in summarization and has been used in several large scale evaluations (Nenkova et ...Summary Content Units ... See full document

9

Summary Cloze: A New Task for Content Selection in Topic Focused Summarization

Summary Cloze: A New Task for Content Selection in Topic Focused Summarization

... content selection. In this work, we pro- pose a new method for studying content se- lection in topic-focused summarization called the summary cloze ...traditional summarization problem, ... See full document

10

Content Selection in Multi-Document Summarization

Content Selection in Multi-Document Summarization

... from summarization, global knowledge (or broadly speaking, knowledge extracted from external resource) is widely used for keyphrase extraction (Hasan and Ng, 2014), where the task is to “select important and ... See full document

257

Joint semantic discourse models for automatic multi document summarization

Joint semantic discourse models for automatic multi document summarization

... segmented in subtopics (by a method described in Cardoso et al., 2013) and similar subtopics are clustered (by a method described in Ribaldo et al., 2013). We assume that a subtopic discussed in several documents is more ... See full document

10

Abstractive Summarization of Product Reviews Using Discourse Structure

Abstractive Summarization of Product Reviews Using Discourse Structure

... the discourse trees (Equation 3). In content selection, we want to extract aspects that not only have high weight, but that are also linked with heavy edges to other heavy ... See full document

12

The Role of Discourse Units in Near Extractive Summarization

The Role of Discourse Units in Near Extractive Summarization

... elementary discourse units (EDUs) from Rhetorical Structure Theory can be used to extend extractive summarizers to pro- duce a wider range of human-like sum- ...human-labeled summarization con- cepts within ... See full document

11

Experiments with CST Based Multidocument Summarization

Experiments with CST Based Multidocument Summarization

... rank, content selection is ...each content selection strategy as an operator. A content selection operator tells how to rearrange the sentences in the rank in order to produce ... See full document

9

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection

... common discourse relation and past work has suggested that it plays special roles in local coherence, in sen- timent expression and in content selection in ... See full document

6

Scoring Sentence Singletons and Pairs for Abstractive Summarization

Scoring Sentence Singletons and Pairs for Abstractive Summarization

... separating content selection from summary gener- ation for abstractive ...identify content words and sentences that should be part of the sum- mary and use them to guide the generation of ab- stracts ... See full document

15

BIGPATENT: A Large Scale Dataset for Abstractive and Coherent Summarization

BIGPATENT: A Large Scale Dataset for Abstractive and Coherent Summarization

... abstractive summarization show promising results in generating fluent and informative summaries (Rush et ...repeated content (Cao et al., 2018). Fan et al. (2018) show that, for content ... See full document

10

Exploiting Discourse Level Segmentation for Extractive Summarization

Exploiting Discourse Level Segmentation for Extractive Summarization

... Content selection plays a key role for both ex- tractive and abstractive paradigms of text summa- rization (Nallapati et ...scheme. Discourse structure has proved effective for an- alyzing and ... See full document

6

Discourse Structures to Reduce Discourse Incoherence in Blog Summarization

Discourse Structures to Reduce Discourse Incoherence in Blog Summarization

... semantic content to improve the question ...schema selection, BlogSum selects the as- sociated schema for a specific question category to select and order sentences for the final ... See full document

8

Dependency based Discourse Parser for Single Document Summarization

Dependency based Discourse Parser for Single Document Summarization

... appropriate discourse parser for discourse-based ...best discourse-based single document summarization methods as proposed in (Hirao et ...ument summarization problem as a Tree Knap- ... See full document

6

Automatic Question Generation using Discourse Cues

Automatic Question Generation using Discourse Cues

... There are 100 distinct types of discourse connec- tives listed in PDTB manual (PDTB, 2007). The most frequent connectives in PDTB are and, or, but, when, because, since, also, although, f or example, however and ... See full document

9

Subscription Normalization and Event Matching In Broker-Less Publish/Subscribe System

Subscription Normalization and Event Matching In Broker-Less Publish/Subscribe System

... the content-based ...subscribe. Content-based system, messages are only delivered to a subscriber if the content of those messages match information defined by the ... See full document

6

UNL Enconversion for Tamil Sentence

UNL Enconversion for Tamil Sentence

... Automatic Summarization, Coreference Resolution, Discourse Analysis, Machine Translation, Morphological Segmentation, Named Entity Recognition, Natural language generation, Natural language understanding, ... See full document

8

Exploring Content Models for Multi Document Summarization

Exploring Content Models for Multi Document Summarization

... a summarization criterion should be more recall oriented, penalizing summaries which omit moder- ately frequent document set words and quickly di- minishing the reward for repeated use of ... See full document

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