Changxing Wu (cxncu001)

cxncu001

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Company:ECJTU

Location:Nanchang, China

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Changxing Wu's starred repositories

HiAGM

Hierarchy-Aware Global Model for Hierarchical Text Classification

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Aspect-Sentiment-Classification

Code and models for the paper "Aspect Sentiment Classification with Aspect-Specific Opinion Spans", EMNLP 2020.

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HPSG-Neural-Parser

Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019

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ARNs

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

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BiFlaG

Codes for the paper Bipartite Flat-Graph Network for Nested Named Entity Recognition

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boundary-aware-nested-ner

Code for EMNLP 2019 paper "A Boundary-aware Neural Model for Nested Named Entity Recognition"

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biaffine-ner

Named Entity Recognition as Dependency Parsing

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golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

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Adv-ED

Source code and dataset for NAACL 2019 paper "Adversarial Training for Weakly Supervised Event Detection".

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EventExtractionPapers

A list of NLP resources focused on event extraction task

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Event-Extraction

基于法律裁判文书的事件抽取及其应用,包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

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TriggerNER

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

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BioNER-Progress

This repository aims to track the progress in BioNER and give a related paper list and an overview of the state-of-the-art (SOTA).

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LexiconNER

Lexicon-based Named Entity Recognition

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Low-Resource-Name-Tagging

This is the repository of paper "low-resource Name Tagging Learned with Weakly Labeled Data" accepted at EMNLP 2019

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LexiconAugmentedNER

Reject complicated operations for incorporating lexicon for Chinese NER.

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MultiDigraphNER

A Neural Multi-digraph Model for Chinese NER with Gazetteers

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LSAN

Label-Specific Document Representation for Multi-Label Text Classification

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ChineseAnnotator

中文自然语言处理 (NLP) 标注工具,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

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ChineseAnnotator

中文自然语言处理 (NLP) 标注工具,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

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ChineseNLPCorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

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CLUENER2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

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HUARN

Code for the COLING 2018 paper "Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings"

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Naive_Bayes_Meet_Adaboost

:email: Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.

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BayesSpam

python实现基于贝叶斯的简单垃圾邮件分类

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CrimeKgAssitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

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ParseLawDocuments

对收集的法律文档进行一系列分析,包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等(试验目前基于婚姻类案件,可扩展至其它领域)。

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