Integrating heterogeneous sources for predicting question temporal anchors across Yahoo! Answers-Reference-Cited by-同舟云学术

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Integrating heterogeneous sources for predicting question temporal anchors across Yahoo! Answers

Published:2019-10 Issue: Volume:50 Page:112-125
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Figueroa Alejandro,Gómez-Pantoja Carlos,Neumann Günter

Funder

German Federal Ministry of Education and Research

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference74 articles.

1. How many workers to ask?: Adaptive exploration for collecting high quality labels;Abraham,2016

2. Scalable training of l1-regularized log-linear models;Andrew,2007

3. Language-independent discriminative parsing of temporal expressions;Angeli,2013

4. Parsing time: learning to interpret time expressions;Angeli,2012

5. Question quality in community question answering forums: a survey;Baltadzhieva;SIGKDD Explor.,2015

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4. Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review;CAAI Transactions on Intelligence Technology;2022-05-04

5. What identifies different age cohorts in Yahoo! Answers?;Knowledge-Based Systems;2021-09

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