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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
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
Preslav Nakov
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Lluís Màrquez
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Francisco Guzmán
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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
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Peter Clark
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Tushar Khot
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Ashish Sabharwal
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Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty
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Lluís Màrquez
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Preslav Nakov
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A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification
Jui-Yang Wang
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Min-Feng Kuo
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Jen-Chieh Han
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Chao-Chuang Shih
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Chun-Hsun Chen
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Po-Ching Lee
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Richard Tzong-Han Tsai
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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
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Lluís Màrquez
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Israa Jaradat
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Machine Translation Evaluation Meets Community Question Answering
Francisco Guzmán
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Lluís Màrquez
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Preslav Nakov
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Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Sewon Min
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Minjoon Seo
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Hannaneh Hajishirzi
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Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics
Martin Boyanov
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Preslav Nakov
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Alessandro Moschitti
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Giovanni Da San Martino
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Ivan Koychev
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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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MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?
Francisco Guzmán
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Preslav Nakov
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Lluís Màrquez
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SemEval-2017 Task 3: Community Question Answering
Preslav Nakov
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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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UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic
Yassine El Adlouni
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Imane Lahbari
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Horacio Rodríguez
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Mohammed Meknassi
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Said Ouatik El Alaoui
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Noureddine Ennahnahi
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EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering
Yufei Xie
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Maoquan Wang
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Jing Ma
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Jian Jiang
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Zhao Lu
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SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering
Delphine Charlet
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Géraldine Damnati
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UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA
Surya Agustian
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Hiroya Takamura
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Story Cloze Ending Selection Baselines and Data Examination
Todor Mihaylov
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Anette Frank
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http://alt.qcri.org/semeval2016/task3/
https://github.com/tbmihailov/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Semantic Similarity
Question Answering
Approach
Deep Learning
Language
Arabic
Dataset
News
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