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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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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning
Luis Espinosa-Anke
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Jose Camacho-Collados
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Sara Rodríguez-Fernández
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Horacio Saggion
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Leo Wanner
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Semi-Markov Phrase-Based Monolingual Alignment
Xuchen Yao
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Benjamin Van Durme
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Chris Callison-Burch
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Peter Clark
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Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks
Lizhen Qu
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Gabriela Ferraro
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Liyuan Zhou
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Weiwei Hou
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Nathan Schneider
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Timothy Baldwin
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Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
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Jose Camacho-Collados
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Ignacio Iacobacci
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Roberto Navigli
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Crowdsourcing Salient Information from News and Tweets
Oana Inel
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Tommaso Caselli
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Lora Aroyo
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Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
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Edouard Grave
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Piotr Bojanowski
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Christian Puhrsch
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Armand Joulin
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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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A practical and linguistically-motivated approach to compositional distributional semantics
Denis Paperno
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Nghia The Pham
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Marco Baroni
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A Rank-Based Similarity Metric for Word Embeddings
Enrico Santus
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Hongmin Wang
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Emmanuele Chersoni
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Yue Zhang
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Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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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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Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems
Abhay Kashyap
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Lushan Han
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Roberto Yus
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Jennifer Sleeman
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Taneeya Satyapanich
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Sunil Gandhi
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Tim Finin
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SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum Weight Matching
Thomas Proisl
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Stefan Evert
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Paul Greiner
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Besim Kabashi
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SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
Wei Xu
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Chris Callison-Burch
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Bill Dolan
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Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams
Taneeya Satyapanich
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Hang Gao
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Tim Finin
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TrWP: Text Relatedness using Word and Phrase Relatedness
Md Rashadul Hasan Rakib
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Aminul Islam
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Evangelos Milios
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SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
Nataliia Plotnikova
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Gabriella Lapesa
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Thomas Proisl
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Stefan Evert
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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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MathLingBudapest: Concept Networks for Semantic Similarity
Gábor Recski
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Judit Ács
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DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2
Piyush Arora
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Chris Hokamp
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Jennifer Foster
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Gareth Jones
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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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Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity
Lushan Han
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Justin Martineau
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Doreen Cheng
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Christopher Thomas
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ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity
Christian Hänig
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Robert Remus
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Xose De La Puente
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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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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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FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach
Basma Hassan
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Samir AbdelRahman
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Reem Bahgat
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Ibrahim Farag
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Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados
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Roberto Navigli
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Evaluating embeddings on dictionary-based similarity
Judit Ács
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András Kornai
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Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély
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Márton Makrai
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Dávid Márk Nemeskey
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András Kornai
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On Bias-free Crawling and Representative Web Corpora
Roland Schäfer
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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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RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation
Hiroki Shimanaka
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Tomoyuki Kajiwara
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Mamoru Komachi
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http://ebiq.org/r/351
http://www.gutenberg.org/wiki/Main
http://bit.ly/10JdTRz
http://bit.ly/WebBase
http://nlp.stanford.edu/software/tagger.shtml
http://ebiq.org/j/95
http://swoogle.umbc.edu/SimService/
Field Of Study
Task
Tagging
Semantic Similarity
Language
English
Dataset
News
Twitter
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