Yunyao Li

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Yunyao Li is the Director of Machine Learning at Adobe Experience Platform, where she leads the strategic initives to bring the power of Generative AI and Knowledge Graph to enterprise systems and transform the way companies approach audiences, journeys and personalization at scale. Previously, she was the Head of Machine Learning, Apple Knowledge Platform, Before joining Apple, she was a Distinguished Research Staff Member and Senior Research Manager at IBM Research - Almaden where she built and managed the Scalable Knowledge Intelligence department. She was also an IBM Master Inventor and a member of IBM Academy of Technology.

natural language processing artificial intelligence information extraction natural language understanding systemt human in the loop explainability semantic role labeling machine learning emnlp knowledge graph deep learning knowledge bases enterprise interpretability tutorial active learning data management nlp multilingual text analytics vldb acl gumshoe genai keynote large language model pattern llm naacl chi ide knowledge tooling evaluation computer computer interaction computational linguistics reasoning question answering natural language generation shallow semantic parsing srl amr meaning representation solutions challenges table extraction table understanding document conversion xnlp xai entity resolution research crosslingual semantic parsing fact checking misinformation new voices nasem citizen tech jennifer chatbot covid-19 text normalization coling structure named entities natural language interface to databases natural language query natural language data management demonstration visual ide transparent machine learning declarative analytics systemml enterprise search #bigdatauo big data term disambiguation ＮＬＰ，　Ｔｅｘｔ　Ｎｏｒｍａｌiz parsing rule-based

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Yunyao Li

Presentaciones

Building Search Systems for the Enterprise

Automatic suggestion of query-rewrite rules for enterprise search

Enterprise information extraction: recent developments and open challenges

Adaptive Parser-Centric Text Normalization

Information Extraction --- An one hour summary

Automatic Term Ambiguity Detection

SystemT: Declarative Information Extraction

Enterprise Search in the Big Data Era: Recent Developments and Open Challenges

The Power of Declarative Analytics

Transparent Machine Learning for Information Extraction: State-of-the-Art and the Future

Natural Language Data Management and Interfaces: Recent Development and Open Challenges

Coling demo

K-SRL: Instance-based Learning for Semantic Role Labeling

Exploiting Structure in Representation of Named Entities using Active Learning

An In-depth Analysis of the Effect of Text Normalization in Social Media

Towards Universal Semantic Understanding of Natural Languages

Towards Universal Language Understanding (2020 version)

Explainability for Natural Language Processing

Towards Universal Language Understanding

Human in the Loop AI for Building Knowledge Bases

Explainability for Natural Language Processing

Explainability for Natural Language Processing

Towards Deep Table Understanding

Taming the Wild West of NLP

Meaning Representations for Natural Languages: Design, Models and Applications

Building, Growing and Serving Large Knowledge Graphs with Human-in-the-Loop

The Role of Patterns in the Era of Large Language Models

Documentos

Polyglot: Multilingual Semantic Role Labeling with Unified Labels

Coling poster