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09/17/2023
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
The driving factors behind the development of large language models (LLM...
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07/29/2023
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
A key technology for the development of large language models (LLMs) inv...
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07/24/2023
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Punctuation restoration is an important task in automatic speech recogni...
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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...
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11/13/2022
Textual Data Augmentation for Patient Outcomes Prediction
Deep learning models have demonstrated superior performance in various h...
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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 ...
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11/11/2022
MEE: A Novel Multilingual Event Extraction Dataset
Event Extraction (EE) is one of the fundamental tasks in Information Ext...
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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...
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09/11/2022
Improving Keyphrase Extraction with Data Augmentation and Information Filtering
Keyphrase extraction is one of the essential tasks for document understa...
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04/26/2022
Symlink: A New Dataset for Scientific Symbol-Description Linking
Mathematical symbols and descriptions appear in various forms across doc...
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02/19/2022
Punctuation Restoration
Given the increasing number of livestreaming videos, automatic speech re...
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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...
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02/16/2022
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
This paper presents FAMIE, a comprehensive and efficient active learning...
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12/19/2021
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Unplanned intensive care unit (ICU) readmission rate is an important met...
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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...
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03/16/2021
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
Existing works on information extraction (IE) have mainly solved the fou...
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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...
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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...
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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...
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11/17/2020
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
Personality image captioning (PIC) aims to describe an image with a natu...
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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...
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10/27/2020
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
Recent studies on event detection (ED) haveshown that the syntactic depe...
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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 ...
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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...
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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...
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06/17/2020
Extensively Matching for Few-shot Learning Event Detection
Current event detection models under super-vised learning settings fail ...
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02/13/2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
The existing event classification (EC) work primarily focuseson the trad...
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11/05/2019
Improving Slot Filling by Utilizing Contextual Information
Slot Filling is the task of extracting the semantic concept from a given...
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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...
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11/04/2019
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
Deep learning models have achieved state-of-the-art performances on many...
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10/24/2019
Extending Event Detection to New Types with Learning from Keywords
Traditional event detection classifies a word or a phrase in a given sen...
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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 ...
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07/07/2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
Event factuality prediction (EFP) is the task of assessing the degree to...
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12/01/2018
One for All: Neural Joint Modeling of Entities and Events
The previous work for event extraction has mainly focused on the predict...
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11/30/2018
Systematic Generalization: What Is Required and Can It Be Learned?
Numerous models for grounded language understanding have been recently p...
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10/18/2018
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
Allowing humans to interactively train artificial agents to understand l...
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07/09/2018
Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs
Finding names of people killed by police has become increasingly importa...
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05/03/2018
A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing
Anti-phishing aims to detect phishing content/documents in a pool of tex...
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02/24/2016
Toward Mention Detection Robustness with Recurrent Neural Networks
One of the key challenges in natural language processing (NLP) is to yie...
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11/18/2015