[PDF] Top 20 A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression
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A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression
... for Summarization Research” (Baldwin et ...of multi-document summarization have been compiled: DUC evaluations (from 2001 to 2007) followed by the TAC evaluations (2008-2009) (Dang & ... See full document
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On the Effectiveness of using Sentence Compression Models for Query Focused Multi Document Summarization
... syntactic-based compression does not improve a generic summa- rization ...that sentence compression can achieve better performance if semantic role information can be incorporated into the model ... See full document
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A Sentence Compression Based Framework to Query Focused Multi Document Summarization
... steps: Sentence Rank- ing, Sentence Compression and ...First, sentence ranking determines the importance of each sentence given the ...and sentence reordering to build the ... See full document
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Towards Abstractive Multi Document Summarization Using Submodular Function Based Framework, Sentence Compression and Merging
... function-based summarization system which integrates three important measures namely impor- tance, coverage, and non-redundancy to detect the important sentences for the sum- ...tence compression and ... See full document
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A New Annotated Portuguese/Spanish Corpus for the Multi Sentence Compression Task
... Multi-Sentence Compression aims to generate a short infor- mative text summary from several sentences with related and redundant ...of multi-document summarization or question ... See full document
5
Information Retrieval and Context Based Document Summarization Using Vector Space Model
... Extractive summarization and abstractive ...Extractive summarization usually ranks the sentences in the documents according to their scores calculated by a set of predefined features, such as term frequency ... See full document
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Document Summarization via Guided Sentence Compression
... where sentence-based ex- tractive summarization is followed or proceeded by sentence compression, is also ...perform sentence compression; Lin (2003) shows that pure ... See full document
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Fast and Robust Compressive Summarization with Dual Decomposition and Multi Task Learning
... for multi-document summarization, using a model that jointly extracts and compresses ...a multi-task learning frame- work to take advantage of existing data for extractive summarization ... See full document
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A Topic driven Summarization using K mean Clustering and Tf Isf Sentence Ranking
... text summarization varieties of approaches, either ex- tractive [1,2] or abstractive, have been ...and sentence-compression is done while abstraction [4,5] where as the sentences of text are ranked ... See full document
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LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization
... the corpus annotations, reveal- ing the most frequent LQ errors made by state-of-the-art summarization systems: definite noun phrases without a previous reference to the same entity, first mentions ... See full document
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Auto hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi Document Summarization Corpus
... 4: Summarization performance of different sum- marization systems in the auto-hMDS corpus for differ- ent summary lengths (100 and 200 words) and different ROUGE versions (ROUGE-1 and ROUGE-2) for the Ger- ... See full document
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Priberam Compressive Summarization Corpus: A New Multi Document Summarization Corpus for European Portuguese
... this corpus, as well as those produced by the learned compressive system, were constrained by a limited set of edit operations—namely, only sentence and word deletion were ...a sentence, merging ... See full document
7
On Strategies of Human Multi Document Summarization
... a corpus of news texts, we study some superficial and deep sentence features that may be useful for ...this corpus are aligned to the sentences of the correspondent reference (human) ... See full document
10
Improving Multi documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
... the summarization results of our method and ...and reference summaries and R-SU4 measuring the skip-bigram with the maximum gap length of ...a sentence. For this, annotators marked if a compressed ... See full document
11
Beyond Generic Summarization: A Multi faceted Hierarchical Summarization Corpus of Large Heterogeneous Data
... a human reader could read only one or two of the source documents and quickly skim over the remaining ones to get a good overview of the article’s main event or entity – albeit update summaries would be helpful in ... See full document
8
Multi document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian
... applying summarization is the result of a long research effort related to ...2008), multi-document summariza- tion has covered aspects of summarization such as update summarization, ... See full document
12
The Benchmark of Paragraph and Sentence Extraction Summaries on Outlier Document Filtering Applied Multi-Document Summarizer
... outlier document filtering (ODF) for extractive sentence ...paragraph summarization to the same ...paragraph summarization has a better performance for precision, extractive sentence ... See full document
7
Unsupervised Abstractive Meeting Summarization with Multi Sentence Compression and Budgeted Submodular Maximization
... against human abstractive sum- ...3 human abstractive summaries of different con- tent and size, which is much more difficult than matching a single ... See full document
11
Learning to Create Sentence Semantic Relation Graphs for Multi Document Summarization
... perform sentence selection, we first build our sentence semantic relation graph, where each vertex is a sentence and edges capture the se- mantic similarity among ...each sentence is fed into ... See full document
10
Sentence Similarity based on Dependency Tree Kernels for Multi document Summarization
... We design a series of new methods that make use of typed dependency grammars to compute sentence similarity. Our methods use dependency tree bigram units and measure the similarity of two sentences using bigram ... See full document
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