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Machine Translation Evaluation Meets Community Question Answering
Francisco Guzmán
|
Lluís Màrquez
|
Preslav Nakov
|
Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings
Francisco Guzmán
|
Houda Bouamor
|
Ramy Baly
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Nizar Habash
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It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
Preslav Nakov
|
Lluís Màrquez
|
Francisco Guzmán
|
Adversarial Domain Adaptation for Duplicate Question Detection
Darsh Shah
|
Tao Lei
|
Alessandro Moschitti
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Salvatore Romeo
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Preslav Nakov
|
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty
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Lluís Màrquez
|
Preslav Nakov
|
Effective shared representations with Multitask Learning for Community Question Answering
Daniele Bonadiman
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Antonio Uva
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Alessandro Moschitti
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Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings
Todor Mihaylov
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Anette Frank
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Cross-language Learning with Adversarial Neural Networks
Shafiq Joty
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Preslav Nakov
|
Lluís Màrquez
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Israa Jaradat
|
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics
Martin Boyanov
|
Preslav Nakov
|
Alessandro Moschitti
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Giovanni Da San Martino
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Ivan Koychev
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SemEval-2016 Task 3: Community Question Answering
Preslav Nakov
|
Lluís Màrquez
|
Alessandro Moschitti
|
Walid Magdy
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Hamdy Mubarak
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Abed Alhakim Freihat
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Jim Glass
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Bilal Randeree
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SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering
Tsvetomila Mihaylova
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Pepa Gencheva
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Martin Boyanov
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Ivana Yovcheva
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Todor Mihaylov
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Momchil Hardalov
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Yasen Kiprov
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Daniel Balchev
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Ivan Koychev
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Preslav Nakov
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Ivelina Nikolova
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Galia Angelova
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PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering
Daniel Balchev
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Yasen Kiprov
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Ivan Koychev
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Preslav Nakov
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SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings
Todor Mihaylov
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Preslav Nakov
|
MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?
Francisco Guzmán
|
Preslav Nakov
|
Lluís Màrquez
|
SemEval-2017 Task 3: Community Question Answering
Preslav Nakov
|
Doris Hoogeveen
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Lluís Màrquez
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Alessandro Moschitti
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Hamdy Mubarak
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Timothy Baldwin
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Karin Verspoor
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http://alt.qcri.org/semeval2016/task3/
http://alt.qcri.org/semeval2016/task3/index.php?id=results
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Textual Entailment
Semantic Similarity
Information Retrieval
Question Answering
Machine Translation
ASR
Approach
Deep Learning
Language
English
Arabic
Dataset
News
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