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TakeLab: Systems for Measuring Semantic Text Similarity
Frane Šarić
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Goran Glavaš
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Mladen Karan
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Jan Šnajder
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Bojana Dalbelo Bašić
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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
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Dan Moldovan
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Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
Hua He
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Kevin Gimpel
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Jimmy Lin
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Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings
Yoshihiko Hayashi
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Wentao Luo
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Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement
Hua He
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Jimmy Lin
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Fast and Easy Short Answer Grading with High Accuracy
Md Arafat Sultan
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Cristobal Salazar
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Tamara Sumner
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Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity
Mohammad Taher Pilehvar
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David Jurgens
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Roberto Navigli
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Learning Semantic Textual Similarity with Structural Representations
Aliaksei Severyn
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Massimo Nicosia
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Alessandro Moschitti
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Effects of Creativity and Cluster Tightness on Short Text Clustering Performance
Catherine Finegan-Dollak
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Reed Coke
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Rui Zhang
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Xiangyi Ye
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Dragomir Radev
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young
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Alice Lai
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Micah Hodosh
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Julia Hockenmaier
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Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity
Ngoc Phuoc An Vo
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Octavian Popescu
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*SEM 2013 shared task: Semantic Textual Similarity
Eneko Agirre
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Daniel Cer
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Mona Diab
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Aitor Gonzalez-Agirre
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Weiwei Guo
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UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
Lushan Han
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Abhay L. Kashyap
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Tim Finin
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James Mayfield
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Jonathan Weese
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iKernels-Core: Tree Kernel Learning for Textual Similarity
Aliaksei Severyn
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Massimo Nicosia
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Alessandro Moschitti
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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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SXUCFN-Core: STS Models Integrating FrameNet Parsing Information
Sai Wang
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Ru Li
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Ruibo Wang
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Zhiqiang Wang
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Xia Zhang
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PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses
Jian Xu
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Qin Lu
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HENRY-CORE: Domain Adaptation and Stacking for Text Similarity
Michael Heilman
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Nitin Madnani
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DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation
Nikolaos Malandrakis
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Elias Iosif
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Vassiliki Prokopi
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Alexandros Potamianos
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Shrikanth Narayanan
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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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KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
Hermann Ziak
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Roman Kern
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UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?
Alberto Barrón-Cedeño
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Lluís Màrquez
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Maria Fuentes
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Horacio Rodríguez
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Jordi Turmo
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MayoClinicNLP–CORE: Semantic representations for textual similarity
Stephen Wu
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Dongqing Zhu
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Ben Carterette
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Hongfang Liu
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UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
Annalina Caputo
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Pierpaolo Basile
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Giovanni Semeraro
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DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity
Md. Sultan
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Steven Bethard
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Tamara Sumner
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SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
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CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity
Ehsan Shareghi
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Sabine Bergler
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SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
Eneko Agirre
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Carmen Banea
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Claire Cardie
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Daniel Cer
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Mona Diab
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Aitor Gonzalez-Agirre
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Weiwei Guo
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Rada Mihalcea
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German Rigau
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Janyce Wiebe
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DLS@CU: Sentence Similarity from Word Alignment
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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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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FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity
Ngoc Phuoc An Vo
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Tommaso Caselli
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Octavian Popescu
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NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality
André Lynum
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Partha Pakray
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Björn Gambäck
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Sergio Jimenez
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SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features
Nikolaos Malandrakis
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Michael Falcone
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Colin Vaz
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Jesse James Bisogni
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Alexandros Potamianos
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Shrikanth Narayanan
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UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity
Miguel Rios
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ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
Jiang Zhao
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Man Lan
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TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
Mladen Karan
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Goran Glavaš
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Jan Šnajder
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Bojana Dalbelo Bašić
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Ivan Vulić
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Marie-Francine Moens
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ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
Jiang Zhao
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Man Lan
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Jun Feng Tian
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DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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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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TAKELAB: Medical Information Extraction and Linking with MINERAL
Goran Glavaš
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TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
Martin Tutek
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Ivan Sekulić
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Paula Gombar
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Ivan Paljak
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Filip Čulinović
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Filip Boltužić
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Mladen Karan
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Domagoj Alagić
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Jan Šnajder
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HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity
Matthias Liebeck
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Philipp Pollack
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Pashutan Modaresi
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Stefan Conrad
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ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
Junfeng Tian
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Man Lan
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SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles
Liling Tan
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Carolina Scarton
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Lucia Specia
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Josef van Genabith
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DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity
Chris Hokamp
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Piyush Arora
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MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model
Naveed Afzal
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Yanshan Wang
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Hongfang Liu
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NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity
Kolawole Adebayo
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Luigi Di Caro
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Guido Boella
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UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement
Hua He
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John Wieting
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Kevin Gimpel
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Jinfeng Rao
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Jimmy Lin
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Unsupervised Text Segmentation Using Semantic Relatedness Graphs
Goran Glavaš
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Federico Nanni
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Simone Paolo Ponzetto
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BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity
Hao Wu
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Heyan Huang
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Ping Jian
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Yuhang Guo
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Chao Su
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Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
WenLi Zhuang
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Ernie Chang
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Frequently Asked Questions Retrieval for Croatian Based on Semantic Textual Similarity
Mladen Karan
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Lovro Žmak
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Jan Šnajder
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Back up your Stance: Recognizing Arguments in Online Discussions
Filip Boltužić
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Jan Šnajder
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If Sentences Could See: Investigating Visual Information for Semantic Textual Similarity
Goran Glavaš
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Ivan Vulić
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Simone Paolo Ponzetto
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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.technion.ac.il/
http://opennlp.apache.org/
http://takelab.fer.hr/sts
http://www.csie
Field Of Study
Linguistic Trends
Lexical Semantics
Distributional Semantics
Syntax
Task
Semantic Similarity
Summarization
Machine Translation
Language
English
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