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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

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Showing 51–75 of 236 papers

TitleStatusHype
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification—0
Match-Ignition: Plugging PageRank into Transformer for Long-form Text MatchingCode1
Bridging Question Answering and Discourse The case of Multi-Sentence Questions—0
Utilizing Bidirectional Encoder Representations from Transformers for Answer SelectionCode1
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive ScaleCode1
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification—0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
Match^2: A Matching over Matching Model for Similar Question Identification—0
Improving Quality of a Post's Set of Answers in Stack OverflowCode0
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer—0
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
Assessing Users' Reputation from Syntactic and Semantic Information in Community Question Answering—0
Neural Abstractive Summarization with Structural Attention—0
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network—0
Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions—0
Review-guided Helpful Answer Identification in E-commerceCode0
Predicting Subjective Features of Questions of QA Websites using BERTCode4
Translating Web Search Queries into Natural Language Questions—0
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Machine Translation Evaluation Meets Community Question Answering—0
SemEval-2016 Task 3: Community Question Answering—0
SemEval-2017 Task 3: Community Question AnsweringCode0
SemEval-2015 Task 3: Answer Selection in Community Question Answering—0
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