research
∙
03/23/2022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, i...
share
research
∙
03/21/2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Document-level Relation Extraction (DocRE) is a more challenging task co...
research
∙
11/22/2021
Knowledge Based Multilingual Language Model
Knowledge enriched language representation learning has shown promising ...
research
∙
08/31/2021
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER
Data augmentation for cross-lingual NER requires fine-grained control ov...
research
∙
06/06/2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Adapter-based tuning has recently arisen as an alternative to fine-tunin...
research
∙
09/25/2020
An Unsupervised Sentence Embedding Method byMutual Information Maximization
BERT is inefficient for sentence-pair tasks such as clustering or semant...
research
∙
09/24/2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
Adapting pre-trained language models (PrLMs) (e.g., BERT) to new domains...
research
∙
06/17/2019
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis produces a list of aspect terms and thei...
research
∙
09/03/2018
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
We consider the cross-domain sentiment classification problem, where a s...
research
∙
06/12/2018
