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[PDF] Top 20 Multilingual Summarization with Polytope Model

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Multilingual Summarization with Polytope Model

Multilingual Summarization with Polytope Model

... representation model expanding a clas- sic vector space model (Salton et ...This model also enables us to find the optimal extract by simple op- timizing an objective function in polynomial time, ... See full document

5

Improving Multilingual Summarization: Using Redundancy in the Input to Correct MT errors

Improving Multilingual Summarization: Using Redundancy in the Input to Correct MT errors

... a summarization corpus is that only one human translation is provided for each document, while multiple model references are required for automatic ...multiple model references by using the initial ... See full document

8

Multilingual Single Document Summarization with MUSE

Multilingual Single Document Summarization with MUSE

... Using MUSE, the user can choose the subset of totally 31 sentence metrics that will be included in the linear combination. The available metrics are based on various text representation models and are ... See full document

5

Multilingual summarization system based on analyzing the discourse structure at MultiLing 2013

Multilingual summarization system based on analyzing the discourse structure at MultiLing 2013

... hierarchical model of a discourse from its basic elements (sentences or clauses), as one would build a parse of a sentence from its words (Ban- galore and Stent, ... See full document

5

MUSEEC: A Multilingual Text Summarization Tool

MUSEEC: A Multilingual Text Summarization Tool

... Compressive summarization seeks to overcome this limitation by compiling summaries from com- pressed sentences that are composed of strictly rel- evant information(Knight and Marcu, ...COMpression) ... See full document

6

Multilingual Multidocument Summarization Tools and Evaluation

Multilingual Multidocument Summarization Tools and Evaluation

... Many functions of the system rely on an implementation of the vector space model in which terms are weighted using the formula term frequency * inverse document frequency (idf). In general a precompiled idf table ... See full document

6

MAGES: A Multilingual Angle integrated Grouping based Entity Summarization System

MAGES: A Multilingual Angle integrated Grouping based Entity Summarization System

... their multilingual angle integration to ensure that no relevant information is biased towards one specific language ...entity summarization, we particularly focus on methods for in- corporating a variety of ... See full document

5

AllSummarizer system at MultiLing 2015: Multilingual single and multi document summarization

AllSummarizer system at MultiLing 2015: Multilingual single and multi document summarization

... “CIST” (Liu et al., 2011; Li et al., 2013) is a system which uses hierarchical Latent Dirich- let Allocation topic (hLDA) model to cluster sen- tences into sub-topics. A sub-topic containing more sentences is more ... See full document

8

Abstract Text Summarization: A Low Resource Challenge

Abstract Text Summarization: A Low Resource Challenge

... Text summarization is considered as a chal- lenging task in the NLP ...of multilingual text summarization is rare, and such datasets are difficult to ...our multilingual scenario where ... See full document

5

Multi document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop

Multi document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop

... track, summarization evaluation, is related the corresponding, prominent research problem of how to automatically evaluate a sum- ...“ model” summaries (Louis and Nenkova, 2012; Saggion et ... See full document

9

A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm

A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm

... document model with syntactic and semantic ...tractive summarization, generating similarity links between document paragraphs and using degree scores in order to extract the important paragraphs from the ... See full document

10

Auto hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi Document Summarization Corpus

Auto hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi Document Summarization Corpus

... multi-document summarization corpus containing topics in English and ...learning model is indeed able to use the newly created corpus as training ...automatic summarization similarly as we see this ... See full document

6

Multilingual Multi Document Summarization with POLY2

Multilingual Multi Document Summarization with POLY2

... linear model for the problem of text summarization, where a summary preserves the information cov- erage as much as possible in comparison to the original document ...convex polytope closest to the ... See full document

5

Multilingual Summarization Evaluation without Human Models

Multilingual Summarization Evaluation without Human Models

... process, a body of research has been produced in the last decade on automatic content-based eval- uation procedures. Early studies used text simi- larity measures such as cosine similarity (with or without weighting ... See full document

9

Multilingual Summarization: Dimensionality Reduction and a Step Towards Optimal Term Coverage

Multilingual Summarization: Dimensionality Reduction and a Step Towards Optimal Term Coverage

... Our previous multi-document summarization algorithm, OCCAMS (Davis et al., 2012), used the linear algebraic technique of Latent Seman- tic Analysis (LSA) to determine term weights and used techniques from ... See full document

9

A Framework for Cross language Search Personalization

A Framework for Cross language Search Personalization

... 3. Personalization strategy: whether the adaptation is performed on the query, the results, or both. Gathering information for user models can be carried out explicitly or implicitly. The former method involves direct ... See full document

6

Ensembles Method For One Class Classification Using Convex Hull Polytope Model

Ensembles Method For One Class Classification Using Convex Hull Polytope Model

... Data classification is the categorization of data for its most effective and efficient use. Data classification is a two-step process: 1.Learning (Model Construction) 2.Classification (Model Usage). In the ... See full document

6

Text Summarization Model based on Redundancy Constrained Knapsack Problem

Text Summarization Model based on Redundancy Constrained Knapsack Problem

... text summarization studies in recent years formulate text summarization as the maximum coverage problem (Filatova and Hatzivassiloglou, 2004; Yih et ...coverage model, based on the maximum coverage ... See full document

10

A Scalable Global Model for Summarization

A Scalable Global Model for Summarization

... Here we describe how our ILP formulation can be extended with additional constraints to incor- porate sentence compression. In particular, we are interested in creating compressed alternatives for the original sentence ... See full document

9

The connected facility location polytope

The connected facility location polytope

... The ConFL problem has been extensively addressed in the literature (see e.g., [3, 4, 6, 7, 8, 9]), but all works concern solution approaches and computer implementations. To our knowledge, this paper is the first ... See full document

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