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method ID: randomwalk

Related Papers

Too Many Mammals: Improving the Diversity of Automatically Recognized Terms

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

Automatic Term Recognition systems extract domain-specific terms from text corpora. Un- fortunately current systems fail to capture the whole of the domain covered by a corpus. To address this problem, …...

29399

Harmony Graph, a Social-Network-Like Structure, and Its Applications to Music Corpus Visualization, Distinguishing and Music Generation

Authors: nan

Publication: TIPSTER (2010)

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In this research project, we propose a model, the Harmony Graph, to decompose music into a social-network-like structure according to its harmonies. The whole Harmony Graph network represents the harmony …...

7510

Hitting the Right Paraphrases in Good Time

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Publication: TIPSTER (2010)

DOI: nan

We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, and an edge …...

23912

SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining

Authors: nan

Publication: TIPSTER (2010)

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AbstractIn this work we present SENTIWORDNET 3.0, a lexical resource explicitly devised for supporting sentiment classification and opinion mining applications. SENTIWORDNET 3.0 is an improved version of SENTIWORDNET 1.0, a …...

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Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk

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This paper proposes an improved approach to extrac- tive summarization of spoken multi-party interac- tion, in which integrated random walk is performed on a graph constructed on topical/ lexical relations. …...

23904

A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation

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Publication: TIPSTER (2013)

DOI: nan

This paper presents an unsupervised ran- dom walk approach to alleviate data spar- sity for selectional preferences. Based on the measure of preferences between predi- cates and arguments, the model …...

40171

Single Document Keyphrase Extraction Using Label Information

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Publication: TIPSTER (2014)

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Keyphrases have found wide ranging application in NLP and IR tasks such as document sum- marization, indexing, labeling, clustering and classification. In this paper we pose the problem of extracting …...

5750

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees

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Much of the recent work on depen- dency parsing has been focused on solv- ing inherent combinatorial problems as- sociated with rich scoring functions. In contrast, we demonstrate that highly …...

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Using Content-level Structures for Summarizing Microblog Repost Trees

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A microblog repost tree provides strong clues on how an event described therein develops. To help social media users capture the main clues of events on mi- croblogging sites, we …...

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Mining Inference Formulas by Goal-Directed Random Walks

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Deep inference on a large-scale knowledge base (KB) needs a mass of formulas, but it is almost impossible to create all formulas man- ually. Data-driven methods have been pro- posed …...

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English WordNet Random Walk Pseudo-Corpora

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AbstractThis is a resource description paper that describes the creation and properties of a set of pseudo-corpora generated artificially from a random walk over the English WordNet taxonomy. Our WordNet …...

14323