ACL-IJCNLP 2021

ACL-IJCNLP 2021

Baidu

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Baidu @ ACL 2021

Baidu is a leading AI company with a strong Internet foundation. Baidu is one of the very few companies in the world that offers a full AI stack, encompassing an infrastructure that consists of AI chips, deep learning framework, core AI capabilities, as well as an open AI platform to facilitate wide application and usage. With its mission to “make the complicated world simpler through technology”, Baidu promotes constant technological innovation, and is committed to being a top global technology company which best understands users’ needs and enables their growth.

Baidu - an AI Company

Baidu is proudly sponsoring ACL 2021. We will bring 14 accepted papers about our recent research and organize a Booth Workshop on Baidu Natural Language Processing with 5 interesting talks on August 2nd. We cordially invite you to join our talks and visit Baidu @ ACL 2021 to know more about our technologies, publications and career opportunities. Please feel free to join our chatroom to communicate with our researchers, engineers and recruiters. We are excited to get to know more about you.

Learn more about Baidu @ ACL 2021: https://nlp.baidu.com/acl2021

Baidu Booth Workshop

Baidu NLP: Recent Progresses in Research and Industrial Applications
1. The Algorithm, Platform and Application of ERNIE
2. Dense Passage Retrieval for Open-Domain Question Answering
3. Towards Simultaneous Speech-to-Speech Translation and Direct Speech-to-Text Translation
4. PLATO: Towards Building an Open-Domain Dialogue System
5. Representation Learning for Biological and Chemical Computing

August 2nd, 9:00 AM - noon, UTC+8 Live Link: https://zoom.com.cn/j/89788627490?pwd=Snd1ZkxjREJ5VkloY0NvRVZ5YkM2QT09

Accepted Papers

Main Conference

  • UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
  • BASS: Boosting Abstractive Summarization with Unified Semantic Graph
  • Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
  • ERNIE-DOC: A Retrospective Long-Document Modeling Transformer
  • Discovering Dialog Structure Graph for Coherent Dialog Generation
  • DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
  • LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
  • Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks

Findings of ACL

  • PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
  • PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
  • Correcting Chinese Spelling Errors with Phonetic Pre-training
  • Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
  • Link Prediction on N-ary Relational Facts: A Graph-based Approach
  • Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR

Brochures

  1. Brochure of Baidu Natural Language Processing
  2. Brochure of Baidu Research
  3. Brochure of Baidu Knowledge Graph
  4. Brochure of PaddlePaddle
  5. Introduction to Baidu's Natural Language Processing


Videos

  1. Baidu Translate
  1. Baidu UNIT: An Intelligent Dialogue Customization and Service Platform
  1. Industrial Practices of PaddlePaddle

Job Opportunities

Baidu NLP team is an innovative research and development team working on frontier topics in natural language processing, including semantic representation, understanding and generation. We also dedicate to NLP algorithms in internet applications and industrial applications. We hope to advance the field by publishing our findings, releasing our source codes and organizing shared tasks.

We are hiring talented full-time members and interns who are driven to innovate in all related areas. If you are interested to work with us, please send your cv to nlp-job@baidu.com.

Contact

If you have any questions, please feel free to contact: outreach@baidu.com

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