Human language technologies

Researching software and systems that bridge the linguistic divide between people and machines to make communicating with computers as natural as speaking with family and friends.

Lydia Nishimwe's MSR Africa, Nairobi seminar

Making Sentence Embeddings Robust to User-Generated Content | Video

Microsoft Research Forum | Episode 3 | Daniela Massiceti

Insights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: CLIP

Project GraphRAG | LLM-Derived Knowledge Graphs

Microsoft Research Forum | Episode 3 | panel discussion

PARIKSHA: A Scalable, Democratic, Transparent Evaluation Platform for Assessing Indic Large Language Models

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Published Date

Publication

Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving

Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie

EMNLP 2021 | October 2021

Publication

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou (寿林钧), Ming Gong (YIMING), Daxin Jiang (姜大昕), Nan Duan

EMNLP 2021 | October 2021

Publication

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning

Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang (姜大昕)

October 2021

Publication

Learning to Ground Visual Objects for Visual Dialog

Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang (姜大昕)

EMNLP 2021 | October 2021

Publication

WHOSe Heritage: Classification of UNESCO World Heritage “Outstanding Universal Value” Documents with Smoothed Labels

Nan Bai, Renqian Luo, Pirouz Nourian, Ana Pereira Roders

EMNLP 2021 | October 2021

Publication

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy

2021 Empirical Methods in Natural Language Processing | October 2021

Project Project

Microsoft Research Blog

Microsoft Turing Universal Language Representation model, T-ULRv5, tops XTREME leaderboard and trains 100x faster

September 28, 2021 | Saurabh Tiwary, Lidong Zhou

Today, we are excited to announce that with our latest Turing universal language representation model (T-ULRv5), a Microsoft-created model is once again the state of the art and at the top of the Google XTREME…