Aicyber's System for NLPCC 2017 Shared Task 2: Voting of Baselines
This paper presents Aicyber's system for NLPCC 2017 shared task 2. It is formed by a voting of three deep learning based system trained on character-enhanced word vectors and a well known bag-of-word model.
Code (0)
등록된 구현이 없습니다.
Tasks
Deep LearningTask 2Similar Papers 제목 키워드 기반
Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts
In this paper, we give an overview for the shared task at the 4th CCF Conference on Natural Language Processing \& Chinese Computing (NLPCC 2015): Chinese word segmentation and part-of-speech (POS) tagging for micro-blog…
Chinese Word SegmentationPart-Of-Speech TaggingPOSPOS Tagging+1Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization
In this paper, we give an overview for the shared task at the CCF Conference on Natural Language Processing \& Chinese Computing (NLPCC 2017): Chinese News Headline Categorization. The dataset of this shared task consist…
From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing
This paper presents our team's solution to Shared Task 7 of NLPCC-2025, which focuses on sentence-level gender bias detection and mitigation in Chinese. The task aims to promote fairness and controllability in natural la…
Bias DetectionWord Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data
This paper describes our system designed for the NLPCC 2016 shared task on word segmentation on micro-blog texts.
Segmentation