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Community Question Answering

Certainly! You can cancel your Jio Fiber connection Contact Customer Support

Dial:- +91 881-304-9350 or 0636-920-1321and provide your account details and the reason for cancellation1.

Alternatively, you can +91 881-304-9350 or 0636-920-1321 compose an email to care@jio.com with the subject line “Request to Close the Jio Fiber Connection.” In the body of the email, share your Jio Fiber account number +91 881-304-9350 or 0636-920-1321 registered mobile number and the reason for closing your connection. Send the email and wait for a response from the Jio Fiber team2.

Visit the Jio Fiber Website:

Log in to your Jio account on the Jio Fiber website.

Go to the “Manage Connections” section.+91 881-304-9350 or 0636-920-1321

Select the option to surrender your connection.

Provide your subscriber ID and the reason for cancellation3.

Remember to clear any +91 881-304-9350 or 0636-920-1321 outstanding dues with Jio Fiber and return any equipment (such as the router) associated with your Jio Fiber connection. Review the terms and conditions carefully before proceeding with the cancellation3.

Papers

Showing 201236 of 236 papers

TitleStatusHype
SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question AnsweringCode0
Answer Retrieval in Legal Community Question AnsweringCode0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
SemEval-2017 Task 3: Community Question AnsweringCode0
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Community Question Answering Entity Linking via Leveraging Auxiliary DataCode0
Improving Quality of a Post's Set of Answers in Stack OverflowCode0
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRFCode0
Do Not Trust the Trolls: Predicting Credibility in Community Question Answering ForumsCode0
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and SummarisationCode0
Synthetic Data Generation with Large Language Models for Personalized Community Question AnsweringCode0
Automatic Opinion Question GenerationCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
SE-PQA: Personalized Community Question AnsweringCode0
Towards Robust Expert Finding in Community Question Answering PlatformsCode0
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse DomainsCode0
Representation Learning for Answer Selection with LSTM-Based Importance WeightingCode0
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering SitesCode0
Expert Finding in Legal Community Question AnsweringCode0
Review-guided Helpful Answer Identification in E-commerceCode0
YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA SummarizationCode0
ANTIQUE: A Non-Factoid Question Answering BenchmarkCode0
Question Condensing Networks for Answer Selection in Community Question AnsweringCode0
Fact Checking in Community ForumsCode0
Neural Duplicate Question Detection without Labeled Training DataCode0
Tip of the Tongue Query Elicitation for Simulated EvaluationCode0
Learning Semantic Textual Similarity from ConversationsCode0
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A PlatformsCode0
Fully Automated Fact Checking Using External SourcesCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering PlatformsCode0
SemEval-2019 Task 8: Fact Checking in Community Question Answering ForumsCode0
No perspective, no perception!! Perspective-aware Healthcare Answer SummarizationCode0
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word EmbeddingsCode0
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