Những nghiên cứu của Google tại ACL 2019

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Tại Hội nghị thường niên ACL năm 2019 (Association for Computational Linguistics 2019) được tổ chức tuần vừa qua tại Florence, Ý, đã có rất nhiều nhà nghiên cứu tham gia thảo luận về các mảng trong lĩnh vực hiểu ngôn ngữ tự nhiên.

Với Google, ACL 2019 sẽ là nơi trình bày những nghiên cứu mới nhất của hãng về các vấn đề liên quan đến cú pháp, ngữ nghĩa học, đàm luận, hội thoại, mô hình đa ngôn ngữ, phân tích cảm xúc, trả lời câu hỏi, tóm tắt, cũng như về việc cải tiến các mô hình sử dụng cả dữ liệu gắn nhãn lẫn không gắn nhãn.

Xem thêm về những công trình nghiên cứu của Google tại ACL tại các link chi tiết dưới đây:

Accepted Publications:

  1. A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
    Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor
  2. Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
    Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio
  3. Generating Logical Forms from Graph Representations of Text and Entities
    Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun
  4. Extracting Symptoms and their Status from Clinical Conversations
    Nan Du, Kai Chen, Anjuli Kannan, Linh Trans, Yuhui Chen, Izhak Shafran
  5. Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
    Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Le, Jason Baldridge
  6. Meaning to Form: Measuring Systematicity as Information
    Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell
  7. Matching the Blanks: Distributional Similarityfor Relation Learning
    Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski
  8. Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
    Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, Ruslan Salakhutdinov
  9. HighRES: Highlight-based Reference-less Evaluation of Summarization
    Hardy Hardy, Shashi Narayan, Andreas Vlachos
  10. Zero-Shot Entity Linking by Reading Entity Descriptions
    Lajanugen Logeswaran, Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin, Honglak Lee
  11. Robust Neural Machine Translation with Doubly Adversarial Inputs
    Yong Cheng, Lu Jiang, Wolfgang Macherey
  12. Natural Questions: a Benchmark for Question Answering Research
    Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti,Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova,Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov
  13. Like a Baby: Visually Situated Neural Language Acquisition
    Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter
  14. What Kind of Language Is Hard to Language-Model?
    Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner
  15. How Multilingual is Multilingual BERT?
    Telmo Pires, Eva Schlinger, Dan Garrette
  16. Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
    Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William Cohen
  17. BAM! Born-Again Multi-Task Networks for Natural Language Understanding
    Kevin Clark, Minh-Thang Luong, Urvashi Khandelal, Christopher D. Manning, Quoc V. Le
  18. Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation
    Wei Wang, Isaac Caswell, Ciprian Chelba
  19. Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
    Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel
  20. On the Robustness of Self-Attentive Models
    Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
  21. Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B
    Jiaming Luo, Yuan Cao, Regina Barzilay
  22. How Large Are Lions? Inducing Distributions over Quantitative Attributes
    Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth
  23. BERT Rediscovers the Classical NLP Pipeline
    Ian Tenney, Dipanjan Das, Ellie Pavlick
  24. Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
    Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas Mccoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman
  25. Robust Zero-Shot Cross-Domain Slot Filling with Example Values
    Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur
  26. Latent Retrieval for Weakly Supervised Open Domain Question Answering
    Kenton Lee, Ming-Wei Chang, Kristina Toutanova
  27. On-device Structured and Context Partitioned Projection Networks
    Sujith Ravi, Zornitsa Kozareva
  28. Incorporating Priors with Feature Attribution on Text Classification
    Frederick Liu, Besim Avci
  29. Informative Image Captioning with External Sources of Information
    Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut
  30. Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach
    Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun
  31. Synthetic QA Corpora Generation with Roundtrip Consistency
    Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins
  32. Unsupervised Paraphrasing without Translation
    Aurko Roy, David Grangier

Workshops

Widening NLP 2019
Organizers include: Diyi Yang

NLP for Conversational AI
Organizers include: Thang-Minh Luong, Tania Bedrax-Weiss

The Fourth Arabic Natural Language Processing Workshop
Organizers include: Imed Zitouni

The Third Workshop on Abusive Language Online
Organizers include: Zeerak Waseem

TyP-NLP, Typology for Polyglot NLP
Organizers include: Manaal Faruqui

Gender Bias in Natural Language Processing
Organizers include: Kellie Webster

Tutorials
Wikipedia as a Resource for Text Analysis and Retrieval
Organizer: Marius Pasca

Theo Google AI Blog

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