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NLP

535 articles · Page 6 of 6
DataFunTalk
DataFunTalk
Sep 2, 2018 · Artificial Intelligence

From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate

This article details the evolution, architecture, and practical applications of knowledge graphs at Beike Real Estate, covering their historical background, five‑view advantages, data pipelines, ontology construction, intelligent search, recommendation, and chatbot integration, while also discussing challenges and future directions.

Artificial IntelligenceData EngineeringIntelligent Assistant
0 likes · 13 min read
From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate
DataFunTalk
DataFunTalk
Aug 17, 2018 · Artificial Intelligence

Technical Evolution and Architecture of Shenma Search Engine

The article outlines Shenma Search's development history, its AI‑driven relevance and ranking technologies, the underlying system architecture based on Zookeeper and YARN, and discusses challenges in query understanding, machine‑learning ranking, and deep‑learning solutions for large‑scale search.

AINLPRanking
0 likes · 17 min read
Technical Evolution and Architecture of Shenma Search Engine
AntTech
AntTech
Aug 1, 2018 · Artificial Intelligence

Highlights and Paper Summaries from ACL 2018 Conference

An extensive overview of ACL 2018, featuring acceptance statistics, award-winning papers, tutorial insights, and concise summaries of notable research across machine translation, semantic parsing, question answering, domain adaptation, text classification, summarization, dialogue systems, generation, and related tools.

ACL 2018Dialogue SystemsNLP
0 likes · 12 min read
Highlights and Paper Summaries from ACL 2018 Conference
DataFunTalk
DataFunTalk
Jul 30, 2018 · Artificial Intelligence

Enhancing Automated Process Services with Multi‑Turn Dialogue: Insights from Chatopera’s NLP Solutions

The article presents a technical overview of Chatopera’s multi‑turn dialogue platform, covering language model fundamentals, Chinese segmentation, word embeddings, information retrieval, and open‑source tools, while illustrating how these AI techniques enable low‑cost, scalable enterprise chatbot solutions.

Multi-turn DialogueNLPOpen Source
0 likes · 11 min read
Enhancing Automated Process Services with Multi‑Turn Dialogue: Insights from Chatopera’s NLP Solutions
Didi Tech
Didi Tech
Jul 27, 2018 · Artificial Intelligence

AI Applications in Mapping and Computer Vision at Didi Tech Seminar

The Didi Tech Seminar showcased how AI—through DeepMotion’s mapping solutions, Sogou’s NLP‑enhanced search, and advanced computer‑vision techniques—augments Didi’s core map engine for ETA estimation, route planning, and dynamic pickup/drop‑off updates, while addressing integration challenges between AI models and traditional mapping algorithms.

AINLPmapping
0 likes · 6 min read
AI Applications in Mapping and Computer Vision at Didi Tech Seminar
DataFunTalk
DataFunTalk
Jul 2, 2018 · Artificial Intelligence

Overview of Sogou Information Feed Recommendation Algorithms

This article summarizes Sogou's information‑feed recommendation system, covering the architecture from data collection and NLP processing to recall, ranking, and feedback, and detailing the classification, tagging, keyword extraction, and various recall and ranking models such as FastText, TextCNN, collaborative filtering, and wide‑and‑deep learning.

NLPRankingSogou
0 likes · 14 min read
Overview of Sogou Information Feed Recommendation Algorithms
Tencent Cloud Developer
Tencent Cloud Developer
Mar 29, 2018 · Artificial Intelligence

How AI Powers a Smart Ops Bot for Seamless Dev‑Ops Collaboration

This article explains the motivation behind the growing gap between developers and operations, introduces Tencent Cloud's AI‑driven intelligent operations robot, outlines its core features, typical use cases, and dives into the retrieval‑based dialogue system and matching models that enable natural‑language interactions.

AI opsChatbotDevOps
0 likes · 13 min read
How AI Powers a Smart Ops Bot for Seamless Dev‑Ops Collaboration
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 25, 2018 · Artificial Intelligence

How to Crush the Kaggle Toxic Comment Challenge: Data Prep, Models, and Ensemble Secrets

This article breaks down the Kaggle toxic comment classification competition, detailing thorough data cleaning, advanced word‑vector techniques, pseudo‑labeling, BPE tokenization, diverse neural models and ensemble strategies, and shares practical insights and pitfalls from the author's nine‑month competition journey.

BPEKaggleNLP
0 likes · 9 min read
How to Crush the Kaggle Toxic Comment Challenge: Data Prep, Models, and Ensemble Secrets
MaGe Linux Operations
MaGe Linux Operations
Mar 22, 2018 · Artificial Intelligence

Mapping Character Relationships in 'Heavenly Sword and Dragon Slaying' with Jieba, Word2Vec & NetworkX

This article demonstrates how to combine Jieba segmentation, Word2Vec embeddings, and NetworkX graph visualization to extract and analyze character relationships from the Chinese novel "Heavenly Sword and Dragon Slaying," detailing data preparation, model training, entity matrix construction, and network graph generation.

Graph VisualizationNLPPython
0 likes · 10 min read
Mapping Character Relationships in 'Heavenly Sword and Dragon Slaying' with Jieba, Word2Vec & NetworkX
Tencent Cloud Developer
Tencent Cloud Developer
Mar 21, 2018 · Artificial Intelligence

Abusive Comment Detection Using TextCNN: A Strategy + Algorithm Approach

The article proposes a hybrid approach that first filters blacklist words and then classifies suspicious comments with a character-level TextCNN, achieving around 89% precision and 87% recall, demonstrating that simple convolutional networks outperform keyword filters and RNNs for short, noisy abusive Chinese text.

Abusive Comment DetectionNLPText classification
0 likes · 10 min read
Abusive Comment Detection Using TextCNN: A Strategy + Algorithm Approach
Meituan Technology Team
Meituan Technology Team
Mar 8, 2018 · Artificial Intelligence

Interview with Ren Dengjun: From NLP Research to Advertising Tech Leadership at Meituan

Ren Dengjun, a Meituan Dianping tech leader, recounts her shift from NLP research at Northeastern to industry roles at Toshiba, Alibaba, and Youyi, now heading Meituan’s location‑based advertising platform, while sharing insights on leadership, gender bias, and balancing technical and managerial challenges.

MeituanNLPRen Dengjun
0 likes · 17 min read
Interview with Ren Dengjun: From NLP Research to Advertising Tech Leadership at Meituan
Qunar Tech Salon
Qunar Tech Salon
Jan 10, 2018 · Artificial Intelligence

An Introductory Overview of Natural Language Processing

Natural Language Processing, a branch of AI, is traced from its Turing origins through early rule‑based methods, statistical and deep‑learning paradigms, covering lexical analysis, syntax, semantics, knowledge graphs, and current applications, highlighting historical shifts, challenges, and future research directions.

Artificial IntelligenceLanguage ProcessingNLP
0 likes · 22 min read
An Introductory Overview of Natural Language Processing
iQIYI Technical Product Team
iQIYI Technical Product Team
Dec 15, 2017 · Artificial Intelligence

Sentiment Classification of iQIYI User Comments: Model Selection, Feature Engineering, and Online Deployment

The team built a lightweight three‑class sentiment classifier for iQIYI user comments using a linear‑kernel SVM with high‑dimensional bag‑of‑words features and an expanded ~100k word lexicon, achieving over 96% accuracy across domains, and deployed it as a Spring Boot PMML service with zero‑downtime refresh, while planning GBDT‑enhanced features and word‑embedding optimizations.

NLPSVMSentiment Analysis
0 likes · 13 min read
Sentiment Classification of iQIYI User Comments: Model Selection, Feature Engineering, and Online Deployment
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 25, 2017 · Artificial Intelligence

How Alibaba’s NLP Team Dominated Global Entity Extraction and Chinese Grammar Competitions

Alibaba’s iDST NLP team, led by Dr. Si Luo, clinched the top spot in both the KBP2017 English entity discovery challenge and the 2017 Chinese Grammatical Error Diagnosis contest, showcasing cutting‑edge deep‑learning techniques, massive multilingual processing capacity, and innovative transfer‑learning methods.

AI competitionsAlibabaNLP
0 likes · 9 min read
How Alibaba’s NLP Team Dominated Global Entity Extraction and Chinese Grammar Competitions
MaGe Linux Operations
MaGe Linux Operations
Nov 22, 2017 · Artificial Intelligence

Top 15 Python Libraries Every Data Scientist Should Master in 2017

This article surveys the most essential Python packages for data science in 2017, covering core scientific computing, data manipulation, visualization, machine learning, deep learning, natural language processing, and web scraping, and explains why each library remains indispensable for modern analysts.

NLPPythondata science
0 likes · 13 min read
Top 15 Python Libraries Every Data Scientist Should Master in 2017
Efficient Ops
Efficient Ops
Nov 21, 2017 · Artificial Intelligence

How AI Transforms Efficient Operations: Insights and Practices

This article summarizes Zhao Jiunchun's conference talk on leveraging AI and machine learning—covering pattern extraction, supervised learning, loss functions, classification algorithms, NLP, and real-world Tencent ZhiYun case studies—to enhance operational efficiency, monitoring, and intelligent automation.

AINLP
0 likes · 6 min read
How AI Transforms Efficient Operations: Insights and Practices
MaGe Linux Operations
MaGe Linux Operations
Oct 19, 2017 · Artificial Intelligence

Master Python NLP with NLTK: From Installation to Advanced Tokenization

This tutorial introduces natural language processing (NLP) with Python, covering the basics of NLP, popular libraries, NLTK installation, text tokenization, stop‑word removal, stemming, lemmatization, synonym/antonym handling, and multilingual support, all illustrated with clear code examples and visual guides.

LemmatizationNLPNLTK
0 likes · 10 min read
Master Python NLP with NLTK: From Installation to Advanced Tokenization
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 22, 2017 · Artificial Intelligence

iQIYI NLP Team: Research Topics, Progress, and Applications in Video Services

The iQIYI NLP team applies lexical analysis, knowledge‑graph construction, tag recommendation, query understanding, voice‑assistant semantics, sentiment mining, and box‑office/view‑count prediction—leveraging weakly labeled data, CRF/CNN‑CRF models and deep learning—to enhance video comprehension, recommendation, search and commercial services across the platform.

NLPRecommendation SystemsSpeech Assistant
0 likes · 13 min read
iQIYI NLP Team: Research Topics, Progress, and Applications in Video Services
Qunar Tech Salon
Qunar Tech Salon
Aug 21, 2017 · Artificial Intelligence

Tourism Comment Text Mining and Recommendation System Using NLP and Big Data

This article presents a comprehensive NLP‑driven text‑mining workflow for tourism comment data, covering data cleaning, word2vec training, keyword extraction, sentiment analysis, ranking, and a lightweight architecture that enables fast, accurate recommendation of scenic spots for users.

NLPSentiment Analysismachine learning
0 likes · 5 min read
Tourism Comment Text Mining and Recommendation System Using NLP and Big Data
Qunar Tech Salon
Qunar Tech Salon
Jul 3, 2017 · Artificial Intelligence

Interview with Dr. Lv Zhengdong on Neural‑Symbolic Systems and the Future of Natural Language Understanding

Dr. Lv Zhengdong discusses the challenges of true language understanding, the integration of symbolic reasoning with neural networks, recent advances in neural‑symbolic models, and the practical prospects of NLP in domains such as law and finance, emphasizing the need for hybrid approaches.

AI researchInterviewNLP
0 likes · 16 min read
Interview with Dr. Lv Zhengdong on Neural‑Symbolic Systems and the Future of Natural Language Understanding
MaGe Linux Operations
MaGe Linux Operations
Jun 27, 2017 · Artificial Intelligence

Top Python Libraries Every Data Scientist Should Master

This article reviews the most essential Python libraries for data science—including NumPy, SciPy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly, Scikit‑Learn, TensorFlow, Keras, NLTK, Gensim, Scrapy and Statsmodels—highlighting their core features, GitHub activity and typical use cases.

LibrariesNLPdata-science
0 likes · 12 min read
Top Python Libraries Every Data Scientist Should Master
Qunar Tech Salon
Qunar Tech Salon
Apr 27, 2017 · Artificial Intelligence

LSTM‑Jump: Learning to Skim Text for Faster Sequence Modeling

The paper introduces LSTM‑Jump, a reinforcement‑learning‑trained LSTM variant that can dynamically skip irrelevant tokens, achieving up to six‑fold speed‑ups over standard sequential LSTMs while maintaining or improving accuracy on various NLP tasks such as sentiment analysis, document classification, and question answering.

LSTMNLPSequence Modeling
0 likes · 7 min read
LSTM‑Jump: Learning to Skim Text for Faster Sequence Modeling
MaGe Linux Operations
MaGe Linux Operations
Apr 25, 2017 · Artificial Intelligence

Top Python and Java NLP Tools for Chinese Text Processing

This article surveys a wide range of natural language processing libraries—including Python packages like NLTK and spaCy, Java frameworks such as OpenNLP and StanfordNLP, and specialized Chinese tokenizers like IKAnalyzer, ICTCLAS, and FudanNLP—detailing their features, usage, and setup steps for Chinese text analysis.

ChineseIKAnalyzerNLP
0 likes · 14 min read
Top Python and Java NLP Tools for Chinese Text Processing
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 20, 2016 · Artificial Intelligence

What ACL 2016 Tutorials Reveal About the Future of NLP and Deep Learning

The article reviews ACL 2016’s tutorial program, summarizing key talks on computer‑aided translation, neural machine translation, semantic sense representation, short‑text understanding, and highlights selected papers on multimodal translation, coverage modeling, and language‑vision grounding, illustrating deep learning’s impact on NLP research.

ACL 2016NLPdeep learning
0 likes · 13 min read
What ACL 2016 Tutorials Reveal About the Future of NLP and Deep Learning
ITPUB
ITPUB
Dec 23, 2015 · Artificial Intelligence

How Computers Turn Words into Numbers: A Beginner’s Guide to Tokenization and Vector Similarity

This article explains how natural language processing stores word meanings as numeric vectors, builds token dictionaries, represents sentences as binary vectors, and uses dot‑product calculations to measure similarity, illustrating concepts with simple examples and highlighting current limitations and future directions.

Artificial IntelligenceNLPtokenization
0 likes · 7 min read
How Computers Turn Words into Numbers: A Beginner’s Guide to Tokenization and Vector Similarity
Baidu Tech Salon
Baidu Tech Salon
Jul 2, 2014 · Artificial Intelligence

Baidu Kaoba: A Case Study of Natural Language Processing and Semantic Analysis

In a June 28 presentation at Baidu’s 51st Technology Salon, senior NLP researcher Zhao Shiqi showcased Baidu Kaoba—a conversational search tool for college admissions—illustrating how inference‑based rewriting, ellipsis completion, concept clarification and interactive generation enable deep, domain‑specific semantic understanding that he predicts will power future internet services.

AIBaiduConversational Search
0 likes · 6 min read
Baidu Kaoba: A Case Study of Natural Language Processing and Semantic Analysis