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NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
Rajendra Banjade
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Nobal Bikram Niraula
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Nabin Maharjan
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Vasile Rus
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Dan Stefanescu
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Mihai Lintean
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Dipesh Gautam
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
VRep at SemEval-2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity
Sam Henry
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Allison Sands
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DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics
Rajendra Banjade
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Nabin Maharjan
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Dipesh Gautam
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Vasile Rus
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UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks
Miloslav Konopík
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Ondřej Pražák
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David Steinberger
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Tomáš Brychcín
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DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction
Rajendra Banjade
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Nabin Maharjan
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Nobal Bikram Niraula
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Vasile Rus
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DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output
Nabin Maharjan
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Rajendra Banjade
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Dipesh Gautam
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Lasang J. Tamang
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Vasile Rus
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Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context
Rajendra Banjade
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Nabin Maharjan
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Nobal Bikram Niraula
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Dipesh Gautam
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Borhan Samei
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Vasile Rus
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http://semanticsimilarity.org
http://code.google.com/p/word2vec/
http://nlp.stanford.edu/projects/glove/
http://semanticsimilarity.org
Field Of Study
Task
Chunking
Semantic Similarity
Summarization
Language
Multilingual
English
Spanish
Dataset
News
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