models for sentence compression
Tài liệu Báo cáo khoa học: "Semi-supervised latent variable models for sentence-level sentiment analysis" pdf
... improve sentence- levelprediction, using only labeled sentences for training.In a similar vein, Sauper et al. (2010) integrated gen-erative content structure models with discriminative models for ... both models dominate the supervisedapproach for the full range of recall values.As discussed earlier, and confirmed by Table 2,the coarse-grained model only performs well on thepredominant sentence- level ... thepredominant sentence- level categories for each docu-ment category. The supervised model handles nega-tive and neutral sentences well, but performs poorlyon positive sentences even in positive documents.The...
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Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx
... goal sentence length for summaries.In the first experiment, the system was givenonly a sentence and no sentence length informa-tion. The sentence compression problem withoutthe length information ... sentence pairs. Thirty-two of these sentences were used for the human judgments in Knight and Marcu’s ex-periment, and the same sentences were used for our human judgments. The rest of the sentenceswere ... Noisy-Channel Model for Sentence Compression Knight and Marcu proposed a sentence compres-sion method using a noisy-channel model (Knightand Marcu, 2000). This model assumes that a long sentence was...
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Tài liệu Báo cáo khoa học: "Mining Wikipedia Revision Histories for Improving Sentence Compression" docx
... “letter”. We look for all replacements of one sentence by another and check whether one sentence is a compression of the other.3We then run Collins’parser (1997), using just the sentence pairs ... Duringdecoding, given a long sentence, we seek the mostlikely short sentence that could have generated it.1 For instance, compressions are more likely to signal op-tional information than expansions; ... sentences taken from theZiff-Davis corpus. We solicited judgments of im-portance (the value of the retained information), andgrammaticality for our compression, the KM results,and human compressions...
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Tài liệu DEVELOPMENT OF AN AUTOUMATIC DATA PROCESSING FOR TRIAXIAL COMPRESSION TEST pdf
... KH&CN, TẬP 11, SỐ 03 - 2008 Trang 49 DEVELOPMENT OF AN AUTOUMATIC DATA PROCESSING FOR TRIAXIAL COMPRESSION TEST Pham Hong Thom(1), Le Minh Son(2), Phan Tan Tung(1), Nguyen Tan ... exactly the results of experiment and convenience for examiner but its cost is very high. The second one has lower cost but it is inconvenience for examiner to get the testing results during test ... sometimes lasts a week, so the examiner must waste so much time for recording the parameters. The examiner also wastes time for entering all parameters and calculating the results on paper...
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Tài liệu Báo cáo " Development of system of HydrodynamicEnvironmental models for coastal area (Case study in Quang Ninh - Hai Phong region) " doc
... of models should be based on the 3D thermo-hydrodynamical models for each particular environment that contains interested matter. Development of system of hydrodynamic-environmental models for ... need to build a system of models for each environment which is related to each other through the boundary conditions. In this case, we can introduce the system of models for oil slick, oil-in-water ... (2003). 3. Model for suspended particulate matter transport and bottom bathymetry evolution The model for SPM and bottom bathymetry evolution includes 2 sub -models: 3D SPM Model for water column...
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Tài liệu Thermodynamic Models for Industrial Applications: From Classical and Advanced Mixing Rules to Association Theories pptx
... Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permissionto reuse the copyright material ... n these models are used for designpurposes, typically within a commercial simulation package. Applications in the oil and gas and chemicalsectors are emphasized but models suitable for polymers ... general thermodynamic models which can describe equallysuccessfully all types of phase equilibria at all conditions. Suitable models for high- and low-pressure phaseequilibria for simple as well...
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Tài liệu Báo cáo khoa học: "Sentence-For-Sentence Translation: An Example" ppt
... subrule ADJ/ SENTENCE -FOR- SENTENCE TRANSLATION 33 SENTENCE -FOR- SENTENCE TRANSLATION 17 which defines the substructure of the input sentence in which is contained the information needed ... specifier for the output sentence should be formed. As a result part of it is formed during the analysis of the input sentence, another part during the actual pro- duction of the output sentence ... indicative of the gender of its SENTENCE -FOR- SENTENCE TRANSLATION 27 [Mechanical Translation and Computational Linguistics, vol. 8, No. 2, February 1965] Sentence -For- Sentence Translation: An Example*...
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Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx
... consistent within a document.Results Results for both settings are shown in Ta-ble 2. GTM models the latent topics at the documentlevel, while LTM models each sentence as a separatedocument. To evaluate ... unseen for a given domain s, we are alreadyperforming an implicit form of smoothing (whencomputing the expected counts), since each docu-ment has a distribution over all topics, and thereforewe ... probability on howrelevant that translation table is to the sentence. Thisallows us to bias the translation toward the topic ofthe sentence. For example, if topic k is dominant inT , pk(e|f) may...
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Tài liệu Báo cáo khoa học: "A Unified Graph Model for Sentence-based Opinion Retrieval" pdf
... associative information between the target and the opinion, we consider the document set as a bag of sentences, and define a sentence set as ,,,,. For each sentence, we ... indicates sentence C contains a re-levant opinion. Similarly, we map each sentence in word pairs by the following rule, and express the intra -sentence information using word pairs. For each ... performance. In this paper, we propose a sentence- based ap-proach based on a new information representa-tion, namely topic-sentiment word pair, to cap-ture intra -sentence contextual information...
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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx
... incremental syntactic lan-guages models are a straightforward and appro-Moses LM(s) BLEUn-gram only 18.78HHMM + n-gram 19.78Figure 9: Results for Ur-En devtest (only sentenceswith 1-20 words) ... Association for Computational Linguistics, pages 620–631,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsIncremental Syntactic Language Models for Phrase-based ... syntactic language models score sen-tences in a similar left-to-right fashion, and aretherefore a good mechanism for incorporat-ing syntax into phrase-based translation. Wegive a formal definition...
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Tài liệu Báo cáo khoa học: "You’ve Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering" doc
... of person-alized models, we report the most significant fea-tures, sorted by Information Gain (IG), for threesample ASP Pers+Text models (Table 3). Interest-ingly, whereas for Pers 1 and Pers ... answer are significant, for Pers 3 non-textual features are most significant.We also report the top 10 features with the high-est information gain for the ASP and ASP Group models (Table 4). Interestingly, ... hour 0.08572 CA ratio ans quesTable 4: Top 10 features by information gain for ASP(trained for all askers) and ASP Group (trained for thegroup of askers with 20 to 29 questions)4 ConclusionsWe...
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Tài liệu Báo cáo khoa học: "Statistical phrase-based models for interactive computer-assisted translation" pdf
... target sentences tI1. Therefore, thesame techniques (translation models, decoder al-gorithm, etc.) which have been developed for SMT can be used in CAT.Note that the statistical models ... framework, real-time is re-quired.4 Phrase-based models The usual statistical translation models can beclassified as single-word based alignment models. Models of this kind assume that an input word ... Association for Computational LinguisticsStatistical phrase-based models for interactive computer-assistedtranslationJes´us Tom´as and Francisco CasacubertaInstituto Tecnol´ogico de Inform´aticaUniversidad...
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Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx
... language.Those lexicon models lack from context infor-mation that can be extracted from the same paral-lel corpus. This additional information could be:Simple context information: information ofthe ... surrounding the word pair;Syntactic information: part-of-speech in-formation, syntactic constituent, sentence mood;Semantic information: disambiguation in-formation (e.g. from WordNet), cur-rent/previous ... fact that thealgorithm for computing the-best lists is sub-optimal.Table 8: Preliminary translation results for theVerbmobil Test-147 for different contextual infor-mation and different...
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Tài liệu Báo cáo khoa học: "Towards History-based Grammars: Using Richer Models for Probabilistic Parsing*" docx
... of the sentence and the discourse are relevant to the model. Most previous probabilistic models of parsing assume the probabilities of sentences in a discourse are independent of other sentences. ... tree that tree T* for which T" =arg maxp(T, w~) (1) T6~(~) where ~(w~) is the set of all parses produced by the grammar for the sentence w~. Many aspects of the input sentence that might ... any-consistent rate, defined as the percent- age of sentences for which the correct parse is proposed among the many parses that the gram- mar provides for a sentence. We also measure the parse base,...
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Tài liệu Báo cáo khoa học: "Statistical Decision-Tree Models for Parsing*" ppt
... performance of SPATTER as a function of sentence length. SPAT- TER's performance degrades slowly for sentences up to around 28 words, and performs more poorly and more erratically as sentences ... some cases long-distance structural information is also needed. Statistical models for 282 root - the node is the root of the tree. For an n word sentence, a parse tree has n leaf nodes, ... Statistical Pattern Recognition. Doctoral dissertation. Stanford University, Stanford, Cali- fornia. 283 Statistical Decision-Tree Models for Parsing* David M. Magerman Bolt Beranek and Newman...
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- atomic models for diffusion
- basic models for repairable systems
- new models for improving
- statistical decisiontree models for parsing
- flow network models for word alignment
- reduced ngram models for english
- done by sentence compression
- regression for sentence level mt evaluation with pseudo references
- mining wikipedia revision histories for improving sentence compression
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