Search Results for author:
Found 23 papers, 3 papers with code
A Multilingual Benchmark to Capture Olfactory Situations over Time
We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach.
PROTEST-ER: Retraining BERT for Protest Event Extraction
We analyze the effect of further retraining BERT with different domain specific data as an unsupervised domain adaptation strategy for event extraction.
Discovering Black Lives Matter Events in the United States: Shared Task 3, CASE 2021
Evaluating the state-of-the-art event detection systems on determining spatio-temporal distribution of the events on the ground is performed unfrequently.
Multilingual Protest News Detection - Shared Task 1, CASE 2021
Task 1, which is the focus of this report, is on multilingual protest news detection and comprises four subtasks that are document classification (subtask 1), sentence classification (subtask 2), event sentence coreference identification (subtask 3), and event extraction (subtask 4).
A Cross-Validation Study of Turkish Sentiment Analysis Datasets and Tools
We provide a map of sentiment analysis datasets according to this taxonomy in Turkish over 10 years.
Federated learning in food research
Research in the food domain is at times limited due to data sharing obstacles, such as data ownership, privacy requirements, and regulations.
GLOCON Database: Design Decisions and User Manual (v1.0)
GLOCON is a database of contentious events automatically extracted from national news sources from various countries in multiple languages.
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report
We provide a summary of the sixth edition of the CASE workshop that is held in the scope of RANLP 2023.
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022
The best F1 scores achieved for Subtask 1 and 2 were 86. 19% and 54. 15%, respectively.
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification.
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Report
We provide a summary of the fifth edition of the CASE workshop that is held in the scope of EMNLP 2022.
Zero-Shot Ranking Socio-Political Texts with Transformer Language Models to Reduce Close Reading Time
We show that one can reduce the close reading time by taking some percentage of the ranked documents that the percentage depends on how much recall they want to achieve.
Global Contentious Politics Database (GLOCON) Annotation Manuals
In order to assure these, the annotation manuals in this document lay out the rules according to which annotators code the news articles.
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Leveraging each of these external datasets for training, we achieved up to approximately 64% F1 on the CNC test set without additional fine-tuning.
Event Coreference Resolution for Contentious Politics Events
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries.
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report
This workshop is the fourth issue of a series of workshops on automatic extraction of socio-political events from news, organized by the Emerging Market Welfare Project, with the support of the Joint Research Centre of the European Commission and with contributions from many other prominent scholars in this field.
COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules
In the scope of WNUT-2020 Task 2, we developed various text classification systems, using deep learning models and one using linguistically informed rules.
Tense, aspect and mood based event extraction for situation analysis and crisis management
This thesis develops such a system for Turkish language.
Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting
We present an overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from News in the context of generalizable natural language processing.
Cross-context News Corpus for Protest Events related Knowledge Base Construction
For each news source, the annotation starts on random samples of news articles and continues with samples that are drawn using active learning.
Extracting actionable information from microtexts
Our experience confirms previous work that states that a well-designed human intervention or contribution in design, realization, or evaluation of an information system either improves its performance or enables its realization.
Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report
The workshop attracted research papers related to evaluation of machine learning methodologies, language resources, material conflict forecasting, and a shared task participation report in the scope of socio-political event information collection.
Unraveling reported dreams with text analytics
We investigate what distinguishes reported dreams from other personal narratives.
