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Now showing items 651-660 of 752
Mix and match: Collaborative expert-crowd judging for building test collections accurately and affordably
(
CEUR-WS
, 2018 , Conference Paper)
Crowdsourcing offers an affordable and scalable means to collect relevance judgments for information retrieval test collections. However, crowd assessors may showhigher variance in judgment quality than trusted assessors. ...
An Ontology-Based Context-Aware Mobile System for On-the-Move Tourists
(
Springer Verlag
, 2013 , Conference Paper)
Ontology-based model in context-aware systems offers more expressiveness, semantically sharing and interoperability. It supports reasoning tasks in a better way than other approaches. However, the main concern with ontology ...
CheckThat! at CLEF 2019: Automatic identification and verification of claims
(
Springer Verlag
, 2019 , Conference Paper)
We introduce the second edition of the CheckThat! Lab, part of the 2019 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes two complementary tasks. Task 1: predict which claims in a political debate should be ...
Ontology-based model in tourism context-aware systems
(
IEEE Computer Society
, 2013 , Conference Paper)
Different approaches have been used to model contextual information in context-aware systems. Comparing to other models, ontology-based modeling offers more expressiveness, semantically sharing and interoperability. It ...
Overview of the CLEF-2018 checkthat! lab on automatic identification and verification of political claims
(
Springer Verlag
, 2018 , Conference Paper)
We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. In its starting year, the lab featured two tasks. Task 1 asked to predict which (potential) claims ...
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims
(
Springer Verlag
, 2019 , Conference Paper)
We present an overview of the second edition of the CheckThat! Lab at CLEF 2019. The lab featured two tasks in two different languages: English and Arabic. Task 1 (English) challenged the participating systems to predict ...
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality
(
CEUR-WS
, 2018 , Conference Paper)
We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 2: Factuality. The task asked to assess whether a given check-worthy claim made ...
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
(
CEUR-WS
, 2018 , Conference Paper)
We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 1: Check-Worthiness. The task asks to predict which claims in a political debate ...
Light-weight, Conservative, yet Effective: Scalable Real-time Tweet Summarization
(
National Institute of Standards and Technology (NIST)
, 2016 , Conference Paper)
Microblogging platforms and Twitter specifically have become a major resource for exploring diverse topics of interest that vary from the world's breaking news to other topics such as sports, science, religion and even ...
Exploiting Live Feedback for Tweet Real-time Push Notifications
(
National Institute of Standards and Technology (NIST)
, 2017 , Conference Paper)
Twitter has been developed as an immense information creation and sharing network through which users post diverse information. Although a user would regularly check her Twitter timeline to stay up-to-date on her topics ...