research
∙
04/12/2023
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
Over the last few years, large language models (LLMs) have emerged as th...
share
research
∙
11/11/2022
MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection
Event Detection (ED) is the task of identifying and classifying trigger ...
research
∙
11/11/2022
MEE: A Novel Multilingual Event Extraction Dataset
Event Extraction (EE) is one of the fundamental tasks in Information Ext...
research
∙
09/11/2022
Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering
Streaming videos is one of the methods for creators to share their creat...
research
∙
09/11/2022
Improving Keyphrase Extraction with Data Augmentation and Information Filtering
Keyphrase extraction is one of the essential tasks for document understa...
research
∙
04/26/2022
Symlink: A New Dataset for Scientific Symbol-Description Linking
Mathematical symbols and descriptions appear in various forms across doc...
research
∙
02/19/2022
Punctuation Restoration
Given the increasing number of livestreaming videos, automatic speech re...
research
∙
02/19/2022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction
Acronym extraction is the task of identifying acronyms and their expande...
research
∙
11/01/2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Large, pre-trained transformer-based language models such as BERT have d...
research
∙
01/25/2021
MadDog: A Web-based System for Acronym Identification and Disambiguation
Acronyms and abbreviations are the short-form of longer phrases and they...
research
∙
01/09/2021
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
We introduce Trankit, a light-weight Transformer-based Toolkit for multi...
research
∙
12/22/2020
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
Acronyms are the short forms of longer phrases and they are frequently u...
research
∙
10/28/2020
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
Acronyms are the short forms of phrases that facilitate conveying length...
research
∙
10/26/2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction
The goal of Event Argument Extraction (EAE) is to find the role of each ...
research
∙
10/26/2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment po...
research
∙
10/26/2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
Targeted opinion word extraction (TOWE) is a sub-task of aspect based se...
research
∙
11/05/2019
Improving Slot Filling by Utilizing Contextual Information
Slot Filling is the task of extracting the semantic concept from a given...
research
∙
11/05/2019
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Definition Extraction (DE) is one of the well-known topics in Informatio...
research
∙
07/07/2019
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
Relation Extraction (RE) is one of the fundamental tasks in Information ...
research
∙
07/07/2019