Chinese NLP | BestHub

DataFunSummit

Oct 27, 2023 · Artificial Intelligence

ChatGPT Technology, Domesticization Attempts, and Open‑Source Large Models

This article reviews the evolution and challenges of ChatGPT technology, describes the authors' efforts to localize and commercialize the model for the Chinese market, and introduces their open‑source Chinese large‑model initiative, including training methods, performance gaps, and future improvement directions.

ChatGPTChinese NLPModel Localization

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ChatGPT Technology, Domesticization Attempts, and Open‑Source Large Models

Model Perspective

Sep 11, 2023 · Artificial Intelligence

Why Chinese Word Segmentation Matters: Techniques, Challenges, and Python Demo

This article explores Chinese word segmentation, illustrating its linguistic nuances with a humorous example, explains key methods—including dictionary‑based, statistical, and deep‑learning approaches—and provides Python code using a simple dictionary algorithm and the popular jieba library to demonstrate practical implementation.

Chinese NLPNatural Language Processingjieba

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Why Chinese Word Segmentation Matters: Techniques, Challenges, and Python Demo

Baidu Tech Salon

Aug 8, 2023 · Artificial Intelligence

Tsinghua University Report Ranks Baidu Wenxin Yiyan First Among Chinese Large Language Models

A Tsinghua University evaluation of seven large language models found Baidu’s Wenxin Yiyan topping the domestic rankings with the highest overall score across 20 metrics—especially Chinese semantic understanding and safety—surpassing ChatGPT and tying GPT‑4, while also demonstrating rapid training, inference speed, and broad industry adoption.

AI evaluationBaidu WenxinChinese NLP

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Tsinghua University Report Ranks Baidu Wenxin Yiyan First Among Chinese Large Language Models

DataFunSummit

May 9, 2022 · Artificial Intelligence

TextToKnowledge (解语): Zero‑Shot Chinese Text Knowledge Annotation and Mining Framework

The article introduces TextToKnowledge, an open‑source Baidu platform that provides a unified Chinese term taxonomy (TermTree) and two annotation tools (WordTag and NPTag) to enable zero‑sample text labeling, term‑linking, and downstream knowledge‑mining applications for various NLP tasks.

Chinese NLPKnowledge GraphPaddleNLP

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TextToKnowledge (解语): Zero‑Shot Chinese Text Knowledge Annotation and Mining Framework

DataFunTalk

Jun 8, 2021 · Artificial Intelligence

CCKS 2021 Life Service Domain Knowledge Graph Question Answering Competition

The CCKS 2021 competition invites researchers to develop Chinese Knowledge Base Question Answering systems that leverage a life‑service knowledge graph from Meituan, offering detailed task description, dataset information, registration procedures, timelines, and prize incentives.

CCKS2021Chinese NLPKBQA

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CCKS 2021 Life Service Domain Knowledge Graph Question Answering Competition

DataFunSummit

Mar 30, 2021 · Artificial Intelligence

Chinese Short‑Text Entity Linking: Model Design, Multitask Learning, and Experimental Results on the Qianyan Dataset

This article presents a comprehensive approach to Chinese short‑text entity linking, describing the Qianyan dataset, pipeline and end‑to‑end task formulations, sample construction, a multitask model that jointly performs entity ranking and NIL classification, various optimization techniques including confidence learning and adversarial training, and detailed experimental analysis showing state‑of‑the‑art performance.

Chinese NLPadversarial trainingconfidence learning

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Chinese Short‑Text Entity Linking: Model Design, Multitask Learning, and Experimental Results on the Qianyan Dataset

Tencent Cloud Developer

Jul 8, 2020 · Artificial Intelligence

Graph-Based Chinese Word Embedding (AlphaEmbedding) for Improved Text Matching

AlphaEmbedding builds a weighted graph linking Chinese words, sub‑words, characters and pinyin, then uses random‑walk‑based node2vec training to produce embeddings that capture orthographic and phonetic similarity, markedly improving recall and ranking for homophones, typos and OOV terms in enterprise search.

Chinese NLPGraph ComputingText Matching

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Graph-Based Chinese Word Embedding (AlphaEmbedding) for Improved Text Matching

Xueersi Online School Tech Team

Jan 17, 2020 · Artificial Intelligence

Fine‑tuning BERT for Sentence Pair Similarity in an Online Education Platform

This article describes how a BERT‑based model is fine‑tuned to compute sentence‑pair similarity for improving recommendation accuracy in an online school, detailing the architecture, training mechanisms, code implementation, experimental results, and future extensions such as sentiment analysis.

BERTChinese NLPFine-tuning

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Fine‑tuning BERT for Sentence Pair Similarity in an Online Education Platform

Tencent Cloud Developer

Apr 24, 2019 · Artificial Intelligence

Chinese Text Sentiment Classification Using Multi‑layer LSTM: Data Preparation, Model Architecture, and Business Applications

The article details a practical workflow for Chinese sentiment classification in Tencent’s Goose Man product, covering data preparation, word‑segmentation challenges, a six‑layer multi‑LSTM architecture with word embeddings, training results achieving roughly 96 % accuracy, and its deployment for automatic detection of misleading and high‑impact user reviews.

Chinese NLPKerasLSTM

0 likes · 23 min read

Chinese Text Sentiment Classification Using Multi‑layer LSTM: Data Preparation, Model Architecture, and Business Applications

DataFunTalk

Nov 24, 2018 · Artificial Intelligence

Comprehensive Guide to Fine‑Tuning BERT on Chinese Datasets

This article provides a step‑by‑step guide for fine‑tuning Google’s open‑source BERT on Chinese datasets, covering model download, processor customization, code examples, training commands, and insights into the underlying TensorFlow estimator architecture and deployment considerations.

BERTChinese NLPFine-tuning

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Comprehensive Guide to Fine‑Tuning BERT on Chinese Datasets

AntTech

Jan 18, 2018 · Artificial Intelligence

cw2vec: Learning Chinese Word Embeddings with Stroke n-grams

The cw2vec paper, presented at AAAI 2018, introduces a Chinese word embedding method that leverages stroke n‑grams to capture character semantics, proposes a novel loss function, demonstrates consistent improvements over existing models across similarity, analogy, classification and NER tasks, and discusses real‑world AI applications.

AAAI 2018AI researchChinese NLP

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cw2vec: Learning Chinese Word Embeddings with Stroke n-grams