We are very excited to join forces with MLCommons and OctoML.ai! Contact Grigori Fursin for more details!

Conversation Modeling on Reddit using a Graph-Structured LSTM

lib:6175ed377143f089 (v1.0.0)

Authors: Vicky Zayats,Mari Ostendorf
Where published: TACL 2018 1
ArXiv: 1704.02080
Document:  PDF  DOI 
Abstract URL: http://arxiv.org/abs/1704.02080v1


This paper presents a novel approach for modeling threaded discussions on social media using a graph-structured bidirectional LSTM which represents both hierarchical and temporal conversation structure. In experiments with a task of predicting popularity of comments in Reddit discussions, the proposed model outperforms a node-independent architecture for different sets of input features. Analyses show a benefit to the model over the full course of the discussion, improving detection in both early and late stages. Further, the use of language cues with the bidirectional tree state updates helps with identifying controversial comments.

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!