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Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.
Barbara Rychalska
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Katarzyna Pakulska
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Krystyna Chodorowska
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Wojciech Walczak
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Piotr Andruszkiewicz
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems
Hiroki Asano
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Tomoya Mizumoto
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Kentaro Inui
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An Empirical Study on End-to-End Sentence Modelling
Kurt Junshean Espinosa
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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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ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity
Junfeng Tian
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Zhiheng Zhou
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Man Lan
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Yuanbin Wu
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LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity
Ignacio Arroyo-Fernández
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Ivan Vladimir Meza Ruiz
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Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity
Niloofar Ranjbar
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Fatemeh Mashhadirajab
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Mehrnoush Shamsfard
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Rayeheh Hosseini pour
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Aryan Vahid pour
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Identification of Parallel Sentences in Comparable Monolingual Corpora from Different Registers
Rémi Cardon
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Natalia Grabar
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http://corpus.byu.edu/coca/
http://wordnet.princeton.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Question Answering
Machine Translation
Approach
Unsupervised Learning
Language
English
Dataset
News
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