SlideShare a Scribd company logo

Lessons from the Trenches: Neu-IR Workshop 2016

•Download as PPTX, PDF•
•
Bhaskar Mitra
Bhaskar Mitra

Slides from the Lessons from the Trenches session at the SIGIR 2016 workshop on Neural Information Retrieval (Neu-IR 2016).

Technology
1 of 10
Lessons from the Trenches Neu-IR workshop 2016
Ground Rules 0.5 mins for setup + 3 mins for presentation + 2 mins for questions This presentation is timed and will progress automatically So just follow along! X 7 speakers Sergey Nikolenko Qingyao Ai Debasis Ganguly Alessandro Moschitti Jun Xu Grady Simon Bhaskar Mitra
The End!

Recommended

Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)
Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)
Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)Bhaskar Mitra
 
A Proposal for Evaluating Answer Distillation from Web Data
A Proposal for Evaluating Answer Distillation from Web DataA Proposal for Evaluating Answer Distillation from Web Data
A Proposal for Evaluating Answer Distillation from Web DataBhaskar Mitra
 
Query Expansion with Locally-Trained Word Embeddings (ACL 2016)
Query Expansion with Locally-Trained Word Embeddings (ACL 2016)Query Expansion with Locally-Trained Word Embeddings (ACL 2016)
Query Expansion with Locally-Trained Word Embeddings (ACL 2016)Bhaskar Mitra
 
Neu-ir 2016: Opening note
Neu-ir 2016: Opening noteNeu-ir 2016: Opening note
Neu-ir 2016: Opening noteBhaskar Mitra
 
Recurrent networks and beyond by Tomas Mikolov
Recurrent networks and beyond by Tomas MikolovRecurrent networks and beyond by Tomas Mikolov
Recurrent networks and beyond by Tomas MikolovBhaskar Mitra
 
Using Text Embeddings for Information Retrieval
Using Text Embeddings for Information RetrievalUsing Text Embeddings for Information Retrieval
Using Text Embeddings for Information RetrievalBhaskar Mitra
 
Neural Text Embeddings for Information Retrieval (WSDM 2017)
Neural Text Embeddings for Information Retrieval (WSDM 2017)Neural Text Embeddings for Information Retrieval (WSDM 2017)
Neural Text Embeddings for Information Retrieval (WSDM 2017)Bhaskar Mitra
 
Lessons from the Trenches - Building Enterprise Applications with RavenDB
Lessons from the Trenches - Building Enterprise Applications with RavenDBLessons from the Trenches - Building Enterprise Applications with RavenDB
Lessons from the Trenches - Building Enterprise Applications with RavenDBOren Eini
 

Recommended

Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)
Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)
Query Expansion with Locally-Trained Word Embeddings (Neu-IR 2016)Bhaskar Mitra
 
A Proposal for Evaluating Answer Distillation from Web Data
A Proposal for Evaluating Answer Distillation from Web DataA Proposal for Evaluating Answer Distillation from Web Data
A Proposal for Evaluating Answer Distillation from Web DataBhaskar Mitra
 
Query Expansion with Locally-Trained Word Embeddings (ACL 2016)
Query Expansion with Locally-Trained Word Embeddings (ACL 2016)Query Expansion with Locally-Trained Word Embeddings (ACL 2016)
Query Expansion with Locally-Trained Word Embeddings (ACL 2016)Bhaskar Mitra
 
Neu-ir 2016: Opening note
Neu-ir 2016: Opening noteNeu-ir 2016: Opening note
Neu-ir 2016: Opening noteBhaskar Mitra
 
Recurrent networks and beyond by Tomas Mikolov
Recurrent networks and beyond by Tomas MikolovRecurrent networks and beyond by Tomas Mikolov
Recurrent networks and beyond by Tomas MikolovBhaskar Mitra
 
Using Text Embeddings for Information Retrieval
Using Text Embeddings for Information RetrievalUsing Text Embeddings for Information Retrieval
Using Text Embeddings for Information RetrievalBhaskar Mitra
 
Neural Text Embeddings for Information Retrieval (WSDM 2017)
Neural Text Embeddings for Information Retrieval (WSDM 2017)Neural Text Embeddings for Information Retrieval (WSDM 2017)
Neural Text Embeddings for Information Retrieval (WSDM 2017)Bhaskar Mitra
 
Lessons from the Trenches - Building Enterprise Applications with RavenDB
Lessons from the Trenches - Building Enterprise Applications with RavenDBLessons from the Trenches - Building Enterprise Applications with RavenDB
Lessons from the Trenches - Building Enterprise Applications with RavenDBOren Eini
 
Joint Multisided Exposure Fairness for Search and Recommendation
Joint Multisided Exposure Fairness for Search and RecommendationJoint Multisided Exposure Fairness for Search and Recommendation
Joint Multisided Exposure Fairness for Search and RecommendationBhaskar Mitra
 
What’s next for deep learning for Search?
What’s next for deep learning for Search?What’s next for deep learning for Search?
What’s next for deep learning for Search?Bhaskar Mitra
 
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...Bhaskar Mitra
 
Efficient Machine Learning and Machine Learning for Efficiency in Information...
Efficient Machine Learning and Machine Learning for Efficiency in Information...Efficient Machine Learning and Machine Learning for Efficiency in Information...
Efficient Machine Learning and Machine Learning for Efficiency in Information...Bhaskar Mitra
 
Multisided Exposure Fairness for Search and Recommendation
Multisided Exposure Fairness for Search and RecommendationMultisided Exposure Fairness for Search and Recommendation
Multisided Exposure Fairness for Search and RecommendationBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Neural Information Retrieval: In search of meaningful progress
Neural Information Retrieval: In search of meaningful progressNeural Information Retrieval: In search of meaningful progress
Neural Information Retrieval: In search of meaningful progressBhaskar Mitra
 
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning TrackConformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning TrackBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Duet @ TREC 2019 Deep Learning Track
Duet @ TREC 2019 Deep Learning TrackDuet @ TREC 2019 Deep Learning Track
Duet @ TREC 2019 Deep Learning TrackBhaskar Mitra
 
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and BeyondBenchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and BeyondBhaskar Mitra
 
Deep Neural Methods for Retrieval
Deep Neural Methods for RetrievalDeep Neural Methods for Retrieval
Deep Neural Methods for RetrievalBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Learning to Rank with Neural Networks
Learning to Rank with Neural NetworksLearning to Rank with Neural Networks
Learning to Rank with Neural NetworksBhaskar Mitra
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for SearchBhaskar Mitra
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for SearchBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for SearchBhaskar Mitra
 
Dual Embedding Space Model (DESM)
Dual Embedding Space Model (DESM)Dual Embedding Space Model (DESM)
Dual Embedding Space Model (DESM)Bhaskar Mitra
 
Adversarial and reinforcement learning-based approaches to information retrieval
Adversarial and reinforcement learning-based approaches to information retrievalAdversarial and reinforcement learning-based approaches to information retrieval
Adversarial and reinforcement learning-based approaches to information retrievalBhaskar Mitra
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 

More Related Content

More from Bhaskar Mitra

Joint Multisided Exposure Fairness for Search and Recommendation
Joint Multisided Exposure Fairness for Search and RecommendationJoint Multisided Exposure Fairness for Search and Recommendation
Joint Multisided Exposure Fairness for Search and RecommendationBhaskar Mitra
 
What’s next for deep learning for Search?
What’s next for deep learning for Search?What’s next for deep learning for Search?
What’s next for deep learning for Search?Bhaskar Mitra
 
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...Bhaskar Mitra
 
Efficient Machine Learning and Machine Learning for Efficiency in Information...
Efficient Machine Learning and Machine Learning for Efficiency in Information...Efficient Machine Learning and Machine Learning for Efficiency in Information...
Efficient Machine Learning and Machine Learning for Efficiency in Information...Bhaskar Mitra
 
Multisided Exposure Fairness for Search and Recommendation
Multisided Exposure Fairness for Search and RecommendationMultisided Exposure Fairness for Search and Recommendation
Multisided Exposure Fairness for Search and RecommendationBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Neural Information Retrieval: In search of meaningful progress
Neural Information Retrieval: In search of meaningful progressNeural Information Retrieval: In search of meaningful progress
Neural Information Retrieval: In search of meaningful progressBhaskar Mitra
 
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning TrackConformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning TrackBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Duet @ TREC 2019 Deep Learning Track
Duet @ TREC 2019 Deep Learning TrackDuet @ TREC 2019 Deep Learning Track
Duet @ TREC 2019 Deep Learning TrackBhaskar Mitra
 
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and BeyondBenchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and BeyondBhaskar Mitra
 
Deep Neural Methods for Retrieval
Deep Neural Methods for RetrievalDeep Neural Methods for Retrieval
Deep Neural Methods for RetrievalBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Learning to Rank with Neural Networks
Learning to Rank with Neural NetworksLearning to Rank with Neural Networks
Learning to Rank with Neural NetworksBhaskar Mitra
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for SearchBhaskar Mitra
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for SearchBhaskar Mitra
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to RankBhaskar Mitra
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for SearchBhaskar Mitra
 
Dual Embedding Space Model (DESM)
Dual Embedding Space Model (DESM)Dual Embedding Space Model (DESM)
Dual Embedding Space Model (DESM)Bhaskar Mitra
 
Adversarial and reinforcement learning-based approaches to information retrieval
Adversarial and reinforcement learning-based approaches to information retrievalAdversarial and reinforcement learning-based approaches to information retrieval
Adversarial and reinforcement learning-based approaches to information retrievalBhaskar Mitra
 

More from Bhaskar Mitra (20)

Joint Multisided Exposure Fairness for Search and Recommendation
Joint Multisided Exposure Fairness for Search and RecommendationJoint Multisided Exposure Fairness for Search and Recommendation
Joint Multisided Exposure Fairness for Search and Recommendation
 
What’s next for deep learning for Search?
What’s next for deep learning for Search?What’s next for deep learning for Search?
What’s next for deep learning for Search?
 
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
So, You Want to Release a Dataset? Reflections on Benchmark Development, Comm...
 
Efficient Machine Learning and Machine Learning for Efficiency in Information...
Efficient Machine Learning and Machine Learning for Efficiency in Information...Efficient Machine Learning and Machine Learning for Efficiency in Information...
Efficient Machine Learning and Machine Learning for Efficiency in Information...
 
Multisided Exposure Fairness for Search and Recommendation
Multisided Exposure Fairness for Search and RecommendationMultisided Exposure Fairness for Search and Recommendation
Multisided Exposure Fairness for Search and Recommendation
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to Rank
 
Neural Information Retrieval: In search of meaningful progress
Neural Information Retrieval: In search of meaningful progressNeural Information Retrieval: In search of meaningful progress
Neural Information Retrieval: In search of meaningful progress
 
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning TrackConformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
Conformer-Kernel with Query Term Independence @ TREC 2020 Deep Learning Track
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to Rank
 
Duet @ TREC 2019 Deep Learning Track
Duet @ TREC 2019 Deep Learning TrackDuet @ TREC 2019 Deep Learning Track
Duet @ TREC 2019 Deep Learning Track
 
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and BeyondBenchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
 
Deep Neural Methods for Retrieval
Deep Neural Methods for RetrievalDeep Neural Methods for Retrieval
Deep Neural Methods for Retrieval
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to Rank
 
Learning to Rank with Neural Networks
Learning to Rank with Neural NetworksLearning to Rank with Neural Networks
Learning to Rank with Neural Networks
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for Search
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for Search
 
Neural Learning to Rank
Neural Learning to RankNeural Learning to Rank
Neural Learning to Rank
 
Deep Learning for Search
Deep Learning for SearchDeep Learning for Search
Deep Learning for Search
 
Dual Embedding Space Model (DESM)
Dual Embedding Space Model (DESM)Dual Embedding Space Model (DESM)
Dual Embedding Space Model (DESM)
 
Adversarial and reinforcement learning-based approaches to information retrieval
Adversarial and reinforcement learning-based approaches to information retrievalAdversarial and reinforcement learning-based approaches to information retrieval
Adversarial and reinforcement learning-based approaches to information retrieval
 

Recently uploaded

Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 

Recently uploaded (20)

Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 

Lessons from the Trenches: Neu-IR Workshop 2016

  • 2. Ground Rules 0.5 mins for setup + 3 mins for presentation + 2 mins for questions This presentation is timed and will progress automatically So just follow along! X 7 speakers Sergey Nikolenko Qingyao Ai Debasis Ganguly Alessandro Moschitti Jun Xu Grady Simon Bhaskar Mitra
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.