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extracted keyphrases

medelyan master thesis 2005

medelyan master thesis 2005

... of keyphrases that can be computed relatively simply and ...of keyphrases assigned by authors have been reportedly extracted automatically ...all keyphrases are highly related to the document ...

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Cross-language Entity Linking Adapting to User’s Language Ability

Cross-language Entity Linking Adapting to User’s Language Ability

... valuable keyphrases in Japanese and link these keyphrases to related Chinese Wikipedia ...of keyphrases using a method called Top Consecutive Nouns Cohesion (TCNC) ...the extracted ...

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GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts

GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts

... against keyphrases extracted by multiple annotators is to consider the different levels of ...is extracted by at least five annotators, and as weak agreement the cases in which at least two ...

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Topical Keyphrase Extraction from Twitter

Topical Keyphrase Extraction from Twitter

... many keyphrases, some are more relevant and interesting than ...Our extracted topical keyphrases are meant for summarizing Twitter content, and they are likely to be directly shown to the ...

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Salience Rank: Efficient Keyphrase Extraction with Topic Modeling

Salience Rank: Efficient Keyphrase Extraction with Topic Modeling

... extract keyphrases that are relevant to one or more topics while, on the other hand, the extracted keyphrases as a whole should have a good coverage of the topics in the ...sometimes ...

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Automatic Keyphrase Extraction via Topic Decomposition

Automatic Keyphrase Extraction via Topic Decomposition

... correctly extracted keyphrases after method name like “(+7)” after ...topic-specific keyphrases considering the proportions of these top- ics, we obtain the best performance of keyphrase ex- traction ...

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Supervised Keyphrase Extraction as Positive Unlabeled Learning

Supervised Keyphrase Extraction as Positive Unlabeled Learning

... of keyphrases per ...known keyphrases in a func- tion Coref(candidate, keyphrase) ∈ { 0, 1 } , re- turning 1 if one of the binary indicator features, pre- sented in (Bengtson and Roth, 2008) and shown in ...

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Incorporating Linguistic Constraints into Keyphrase Generation

Incorporating Linguistic Constraints into Keyphrase Generation

... Keyphrases, that concisely describe the high- level topics discussed in a document, are very useful for a wide range of natural language processing tasks. Though existing keyphrase generation methods have achieved ...

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Topic Aware Neural Keyphrase Generation for Social Media Language

Topic Aware Neural Keyphrase Generation for Social Media Language

... Our work is especially in the line of social media keyphrase prediction, where extractive ap- proaches are widely employed (Zhang et al., 2016, 2018). On the contrary, we predict keyphrases in a sequence ...

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GoWvis: A Web Application for Graph of Words based Text Visualization and Summarization

GoWvis: A Web Application for Graph of Words based Text Visualization and Summarization

... candidate keyphrases into topics via hierarchical clustering (with a word overlap distance), and then apply PageRank on a complete graph with topic nodes and edge weights based on keyphrase offset ...

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Deep Keyphrase Generation

Deep Keyphrase Generation

... generate keyphrases or words that are too general and may not neces- sarily refer to the source ...of keyphrases in our dataset contain out-of-vocabulary words, which the RNN model is not able to recall, ...

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Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards

... Generating keyphrases that summarize the main points of a document is a fundamen- tal task in natural language ...multiple keyphrases for an input document as well as determining the number of ...

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Neural Argument Generation Augmented with Externally Retrieved Evidence

Neural Argument Generation Augmented with Externally Retrieved Evidence

... High quality arguments are essential elements for human reasoning and decision-making processes. However, effective argument con- struction is a challenging task for both human and machines. In this work, we study a ...

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Redundancy based Correction of Automatically Extracted Facts

Redundancy based Correction of Automatically Extracted Facts

... The baseline system is obtained by supervised learning from a few hundred manually annotated ex- amples. Then the IE system is applied to succes- sively larger sets of unlabeled examples, and associ- ation rules are ...

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CROP DISEASE IDENTIFICATION USING A FEATURE EXTRACTION HOG ALGORITHM

CROP DISEASE IDENTIFICATION USING A FEATURE EXTRACTION HOG ALGORITHM

... Surender Kumar and Rupinder Kaur proposed another approach to identifying the plant diseases; this paper is use segmented the infected part using based on threshold value, based on the edge, based on similarities and ...

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Biosynthesis of Silver Nanoparticles Extracted Using Proteus | Journal of Engineering Sciences

Biosynthesis of Silver Nanoparticles Extracted Using Proteus | Journal of Engineering Sciences

... Abstract. This study is focused on the evaluation of dependable and eco-friendly methods for the synthesis of metal nanoparticles is a significant step in the area of application of nanotechnology. One of the ...

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Validation of an extracted tooth model of endodontic irrigation

Validation of an extracted tooth model of endodontic irrigation

... An extracted tooth model of endodontic irrigation, incorporating reproducible inoculation and irrigation procedures, was tested against Enterococcus faecalis using a variety of different irrigants in a Latin ...

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Validation of an extracted tooth model of endodontic irrigation

Validation of an extracted tooth model of endodontic irrigation

... An extracted tooth model of endodontic irrigation, incorporating reproducible inoculation and irrigation procedures, was tested against Enterococcus faecalis using a variety of different irrigants in a Latin ...

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Extractive Research on Summarization Framework for Extracted Features

Extractive Research on Summarization Framework for Extracted Features

... Every individual has its own perspective of viewing things. The reviews that we crawled had a lot of diversity. [13][15]Extracting features was itself a tough task, as our approach was to define a grammar which failed in ...

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Extractive Review Summarization Framework for Extracted Features

Extractive Review Summarization Framework for Extracted Features

... Every individual has its own perspective of viewing things. The reviews that we crawled had a lot of diversity. [13][15]Extracting features was itself a tough task, as our approach was to define a grammar which failed in ...

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