A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection
Explainability in the field of event detection is a new emerging research area. For
practitioners and users alike, explainability is essential to ensuring that models are widely …
practitioners and users alike, explainability is essential to ensuring that models are widely …
Open domain event extraction using neural latent variable models
We consider open domain event extraction, the task of extracting unconstraint types of
events from news clusters. A novel latent variable neural model is constructed, which is …
events from news clusters. A novel latent variable neural model is constructed, which is …
Improving text classification with word embedding
L Ge, TS Moh - 2017 IEEE International Conference on Big …, 2017 - ieeexplore.ieee.org
One challenge in text classification is that it is difficult to make feature reductions based on
the definition of the features. An ineffective feature reduction may even worsen the …
the definition of the features. An ineffective feature reduction may even worsen the …
Off the beaten path: Let's replace term-based retrieval with k-nn search
Retrieval pipelines commonly rely on a term-based search to obtain candidate records,
which are subsequently re-ranked. Some candidates are missed by this approach, eg, due …
which are subsequently re-ranked. Some candidates are missed by this approach, eg, due …
Feature expansion using word embedding for tweet topic classification
One of Online Social Network (OSN) roles is a source of information, especially during an
emergency. Twitter is an OSN service that enables users to send and read message but is …
emergency. Twitter is an OSN service that enables users to send and read message but is …
A comparison of classification models for natural disaster and critical event detection from news
We present a contrastive study of document-level event classification of a range of seven
different event types, namely floods, storms, fires, armed conflict, terrorism, infrastructure …
different event types, namely floods, storms, fires, armed conflict, terrorism, infrastructure …
Feature expansion with FastText on topic classification using the gradient boosted decision tree on twitter
RA Yahya, EB Setiawan - 2022 10th International Conference …, 2022 - ieeexplore.ieee.org
Twitter is a microblogging website that allows users to post and read short messages
(tweets) with a character limit of 280 characters. It often leads to very short tweets, does not …
(tweets) with a character limit of 280 characters. It often leads to very short tweets, does not …
Comparative analysis of TF-IDF and loglikelihood method for keywords extraction of twitter data
Twitter has become the foremost standard of social media in today's world. Over 335 million
users are online monthly, and near about 80% are accessing it through their mobiles …
users are online monthly, and near about 80% are accessing it through their mobiles …
Extracting news events from microblogs
Ø Repp, H Ramampiaro - Journal of Statistics and Management …, 2018 - Taylor & Francis
Twitter stream has become a large source of information, but the magnitude of tweets posted
and the noisy nature of its content makes harvesting of knowledge from Twitter has …
and the noisy nature of its content makes harvesting of knowledge from Twitter has …
News monitor: a framework for exploring news in real-time
News articles generated by online media are a major source of information. In this work, we
present News Monitor, a framework that automatically collects news articles from a wide …
present News Monitor, a framework that automatically collects news articles from a wide …