97 citations · 137 across the 13 of their papers we have counts for
20 papers · 1 filter
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Qingyu Tan, Ruidan He, Lidong Bing +1
Document-level Relation Extraction (DocRE) is a more challenging task compared to its sentence-level counterpart. It aims to extract relations from multiple sentences at once. In t…
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Qian Lin, Hwee Tou Ng
Identifying breakdowns in ongoing dialogues helps to improve communication effectiveness. Most prior work on this topic relies on human annotated data and data augmentation to lear…
System Combination for Grammatical Error Correction Based on Integer Programming
Ruixi Lin, Hwee Tou Ng
In this paper, we propose a system combination method for grammatical error correction (GEC), based on nonlinear integer programming (IP). Our method optimizes a novel F score obje…
Diversity-Driven Combination for Grammatical Error Correction
Wenjuan Han, Hwee Tou Ng
Grammatical error correction (GEC) is the task of detecting and correcting errors in a written text. The idea of combining multiple system outputs has been successfully used in GEC…
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach
Preslav Nakov, Hwee Tou Ng
We propose a novel approach to translating from a morphologically complex language. Unlike previous research, which has targeted word inflections and concatenations, we focus on th…
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents
Tapas Nayak, Hwee Tou Ng
Distantly supervised datasets for relation extraction mostly focus on sentence-level extraction, and they cover very few relations. In this work, we propose cross-document relation…