Apple is sponsoring the annual conference of North American Chapter of the Association for Computational Linguistics (NAACL). The conference takes place virtually from June 6 to 11.

Conference Accepted Papers

Combined Resolution of Ellipses and Anaphora in Dialogues

Andy Tseng, Jiarui Lu, Dhivya Piraviperumal, Joel Moniz, Shruti Bhargava, Lin Li, Hong Yu

Noise-robust Named Entity Understanding for Virtual Assistants

Atish Kothari, Deepak Muralidharan, Jason Williams, Joel Moniz, Justine Kao, Lin Li, Sida Gao, Stephen Pulman, Vivek Kaul, Xiao Yang

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering

Shayne Longpre, Yi Lu, Chris DuBois

Open Domain Question Answering Goes Conversational via Question Rewriting

Raviteja Anantha, Svitlana Vakulenko, Michael Tu, Shayne Longpre, Stephen Pulman, Srinivas (Vasu) Chappidi

Affinity Events

Apple is sponsoring a social at Black in AI which will take place on June 6, a social at QUEER in AI on June 6 and 7, and a social at LatinX in AI on June 7 and 10.

Learn more about Apple’s company-wide efforts in inclusion and diversity

Attending NAACL this year? Learn more about how to apply to internship and full-time positions on our Machine Learning and Natural Language Processing teams by visiting our sponsor page

Related readings and updates.

Apple at CVPR 2021

Apple is sponsoring the annual conference of Computer Vision and Pattern Recognition (CVPR). The conference focuses on computer vision and its applications and is taking place virtually from June 19 to 25.

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MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Progress in cross-lingual modeling depends on challenging, realistic, and diverse evaluation sets. We introduce Multilingual Knowledge Questions and Answers (MKQA), an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide…
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