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09/19/2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Large language models (LLMs) with billions of parameters have demonstrat...
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04/28/2023
CED: Catalog Extraction from Documents
Sentence-by-sentence information extraction from long documents is an ex...
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10/10/2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training
The conventional success of textual classification relies on annotated d...
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09/03/2022
STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction
We present a simple yet effective self-training approach, named as STAD,...
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04/27/2022
A Method of Query Graph Reranking for Knowledge Base Question Answering
This paper presents a novel reranking method to better choose the optima...
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04/27/2022
Better Query Graph Selection for Knowledge Base Question Answering
This paper presents a novel approach based on semantic parsing to improv...
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12/11/2021
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
There are two main challenges in document-level event extraction: 1) arg...
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07/16/2021
Exploiting Rich Syntax for Better Knowledge Base Question Answering
Recent studies on Knowledge Base Question Answering (KBQA) have shown gr...
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10/30/2020
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
In recent years, distantly-supervised relation extraction has achieved a...
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03/09/2020
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the re...
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11/28/2019
Improving Neural Relation Extraction with Positive and Unlabeled Learning
We present a novel approach to improve the performance of distant superv...
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08/29/2019
CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
The CCKS2019 shared task was devoted to inter-personal relationship extr...
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07/30/2019
IPRE: a Dataset for Inter-Personal Relationship Extraction
Inter-personal relationship is the basis of human society. In order to a...
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01/16/2018
Adversarial Learning for Chinese NER from Crowd Annotations
To quickly obtain new labeled data, we can choose crowdsourcing as an al...
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01/11/2018