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SemEval-2014 Task 3: Cross-Level Semantic Similarity
David Jurgens
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Mohammad Taher Pilehvar
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Roberto Navigli
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity
Magdalena Kacmajor
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John D. Kelleher
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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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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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RTM-DCU: Referential Translation Machines for Semantic Similarity
Ergun Biçici
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Andy Way
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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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SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity
Carmen Banea
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Di Chen
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Rada Mihalcea
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Claire Cardie
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Janyce Wiebe
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SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity
Pingping Huang
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Baobao Chang
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UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment
Sergio Jimenez
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George Dueñas
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Julia Baquero
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Alexander Gelbukh
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SemEval-2016 Task 14: Semantic Taxonomy Enrichment
David Jurgens
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Mohammad Taher Pilehvar
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Referential Translation Machines for Predicting Translation Quality
Ergun Biçici
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Andy Way
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http://alt.qcri
http://jssp2013.fbk.eu/
Field Of Study
Task
Semantic Similarity
Information Retrieval
Question Answering
Paraphrasing
Language
English
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