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[PDF] Top 20 Query focused Sentence Compression in Linear Time

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Query focused Sentence Compression in Linear Time

Query focused Sentence Compression in Linear Time

... strained compression. While methods based on integer linear programming (ILP) can trivially ac- commodate such length and lexical restrictions (Clarke and Lapata, 2008; Filippova and Altun, 2013; Wang et ... See full document

7

Polynomial Time Joint Structural Inference for Sentence Compression

Polynomial Time Joint Structural Inference for Sentence Compression

... pressed sentence. However, the time complexity greatly increases since the parse tree dynamical- ly depends on the ...Integer Linear Programming (ILP) for inference which re- quires exponential ... See full document

6

A Unified Linear Time Framework for Sentence Level Discourse Parsing

A Unified Linear Time Framework for Sentence Level Discourse Parsing

... consider sentence-level coher- ence analysis, which involves discourse segmen- tation and sentence-level ...the sentence “The Treasury also said noncompetitive tenders will be considered timely if ... See full document

11

Query focused Scenario Construction

Query focused Scenario Construction

... We experiment with two termination condi- tions: (1) fixed #sentences: a pre-specified num- ber of sentences are extracted; (2) dynamic #sen- tences: a special end-of-scenario token <end> is predicted as the next ... See full document

11

A Topic driven Summarization using K mean Clustering and Tf Isf Sentence Ranking

A Topic driven Summarization using K mean Clustering and Tf Isf Sentence Ranking

... less time. In this paper two meth- ods have been proposed for query-focused multi-document summa- rization that uses k-mean clustering, term-frequency and inverse- sentence-frequency method ... See full document

7

Bayesian Query Focused Summarization

Bayesian Query Focused Summarization

... was query-focused multidocument ...based sentence compression component (Daum´e III and Marcu, ...the query) and linguistic ...the sentence compression we performed on top ... See full document

8

Sentence Compression For Automatic Subtitling

Sentence Compression For Automatic Subtitling

... the compression task, as compared to an unsupervised baseline previously shown to have a good performance and based on the same principle of dependency subtree ...edges, compression, and tree ...same ... See full document

9

Multi Sentence Compression with Word Vertex Labeled Graphs and Integer Linear Programming

Multi Sentence Compression with Word Vertex Labeled Graphs and Integer Linear Programming

... Multi-Sentence Compression (MSC), also coined as Multi-Sentence Fusion, is a variation of ...new sentence, hopefully grammatically correct, which compresses the most relevant data of this ... See full document

10

RelationListwise for Query Focused Multi Document Summarization

RelationListwise for Query Focused Multi Document Summarization

... extraction-based query-focused multi- document summaries given a collection of documents, which is usually considered as a sen- tence ranking ...a linear function in which the weights are assigned ... See full document

16

On the Effectiveness of using Sentence Compression Models for Query Focused Multi Document Summarization

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

18

A Sentence Compression Based Framework to Query Focused Multi Document Summarization

A Sentence Compression Based Framework to Query Focused Multi Document Summarization

... our query-focused MDS frame- work consisting of three steps: Sentence Rank- ing, Sentence Compression and ...First, sentence ranking determines the importance of each ... See full document

11

Unsupervised Rewriter for Multi Sentence Compression

Unsupervised Rewriter for Multi Sentence Compression

... Multi-sentence compression (MSC) aims to gener- ate a single shorter and grammatical sentence that preserves important information from a group of related ...multi- sentence compression ... See full document

6

Sentence Compression with Semantic Role Constraints

Sentence Compression with Semantic Role Constraints

... dep(i , j , + d) ∧ inComp(i) ⇒ inComp( j) (12) dep(i , j , + d) ∧ inComp(i) ⇔ inComp( j) (13) which enforce the consistencies between head and modifier tokens. Formula (12) represents that if we include a head token in ... See full document

5

Determination of appropriate compression rate for developing the Persian version of time compressed sentence test

Determination of appropriate compression rate for developing the Persian version of time compressed sentence test

... Owning to the complex nature of this disorder, people with normal peripheral hearing sensi- tivity may also show CAPD; therefore, common auditory tests such as pure tone audiometry and tympanometry cannot be trusted as ... See full document

7

A Query Focused Multi Document Automatic Summarization

A Query Focused Multi Document Automatic Summarization

... documents containing w, and size(d) is the size of the documents in words. The score can be accurately set if stemmer and lexicon are used to match the equivalent words. WordNet can be used to match the equivalent words ... See full document

10

Supervised and Unsupervised Learning for Sentence Compression

Supervised and Unsupervised Learning for Sentence Compression

... a compression to occur, it needs to be less de- sirable to add an adjective in the channel model than in the source ...short sentence should be very barely ... See full document

8

Sentence Compression with Joint Structural Inference

Sentence Compression with Joint Structural Inference

... Sentence compression techniques often assemble output sentences using frag- ments of lexical sequences such as n- grams or units of syntactic structure such as edges from a dependency tree repre- ... See full document

10

Lexicalized Markov Grammars for Sentence Compression

Lexicalized Markov Grammars for Sentence Compression

... a sentence compression system based on synchronous context-free grammars (SCFG), following the successful noisy-channel approach of (Knight and Marcu, ... See full document

8

Using Random Walks for Question focused Sentence Retrieval

Using Random Walks for Question focused Sentence Retrieval

... for sentence re- trieval is that a system that considers only the sim- ilarity between candidate sentences and the input query, and not the similarity between the candidate sentences themselves, is likely ... See full document

8

Using MONA for Querying Linguistic Treebanks

Using MONA for Querying Linguistic Treebanks

... powerful query lan- guage with a query evaluation algorithm of low com- ...The query language is monadic second- order logic (MSO henceforth), an extension of first- order logic that additionally ... See full document

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