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UNT: A Supervised Synergistic Approach to Semantic Text Similarity
Carmen Banea
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Samer Hassan
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Michael Mohler
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Rada Mihalcea
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Paper Details:
Month: 7-8 June
Year: 2012
Location: Montréal, Canada
Venue:
*SEMEVAL |
Citations
URL
A Semantically Enhanced Approach to Determine Textual Similarity
Eduardo Blanco
|
Dan Moldovan
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UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression
Danilo Croce
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Valerio Storch
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Roberto Basili
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NTNU-CORE: Combining strong features for semantic similarity
Erwin Marsi
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Hans Moen
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Lars Bungum
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Gleb Sizov
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Björn Gambäck
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André Lynum
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UMCC_DLSI: Textual Similarity based on Lexical-Semantic features
Alexander Chávez
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Héctor Dávila
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Yoan Gutiérrez
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Armando Collazo
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José I. Abreu
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Antonio Fernández Orquín
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Andrés Montoyo
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Rafael Muñoz
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ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements
Tiantian Zhu
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Lan Man
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CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
Carmen Banea
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Yoonjung Choi
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Lingjia Deng
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Samer Hassan
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Michael Mohler
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Bishan Yang
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Claire Cardie
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Rada Mihalcea
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Jan Wiebe
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INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
Fernando Sánchez-Vega
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Manuel Montes-y-Gómez
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Paolo Rosso
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Luis Villaseñor-Pineda
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ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation
Tiantian Zhu
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Man Lan
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ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment
Jiang Zhao
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Tiantian Zhu
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Man Lan
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ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
Liang Yi
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JianXiang Wang
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Man Lan
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Rule-based vs. Neural Net Approaches to Semantic Textual Similarity
Linrui Zhang
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Dan Moldovan
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http://www.cs.york.ac.uk/semeval-2012/
Field Of Study
Task
Word Sense Disambiguation
Semantic Similarity
Information Retrieval
Summarization
Language
English
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