Educational NLP at ACL 2022

Proceedings: https://aclanthology.org/events/acl-2022/

Topics:

• Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences. Xingwei He, Siu Ming Yiu [paper]
• It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books. Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu [paper]
• Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization. Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma [paper]
• Multitasking Framework for Unsupervised Simple Definition Generation. Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, Erhong Yang [paper]
• CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang [paper]
• Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation. Subhadarshi Panda, Frank Palma Gomez, Michael Flor, Alla Rozovskaya [paper]
• Constructing Open Cloze Tests Using Generation and Discrimination Capabilities of Transformers. Mariano Felice, Shiva Taslimipoor, Paula Buttery [paper]
• A Feasibility Study of Answer-Agnostic Question Generation for Education. Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, DaHyeon Choi, Chuning Yuan, Chris Callison-Burch [paper]
• Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask. Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer von der Ohe, Alona Fyshe [paper]
• Generating Scientific Definitions with Controllable Complexity. Tal August, Katharina Reinecke, Noah A. Smith [paper]
• Your Answer is Incorrect… Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset. Anna Filighera, Siddharth Parihar, Tim Steuer, Tobias Meuser, Sebastian Ochs [paper]
• Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification. George-Eduard Zaharia, Razvan-Alexandru Smadu Dumitru-Clementin Cercel, Mihai Dascalu [paper]
• ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. Neeraj Varshney, Swaroop Mishra, Chitta Baral [paper]
• Predicting Difficulty and Discrimination of Natural Language Questions. Matthew Byrd, Shashank Srivastava [paper]
• Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing. Thiemo Wambsganss, Christina Niklaus [paper]
• Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure. Bohan Zhang, Prafulla Kumar Choubey, Ruihong Huang [paper]
• “You might think about slightly revising the title”: Identifying Hedges in Peer-tutoring Interactions. Yann Raphalen, Chloé Clavel, Justine Cassell [paper]
• Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction. Maksym Tarnavskyi, Artem Chernodub, Kostiantyn Omelianchuk [paper]
• Interpretability for Language Learners Using Example-Based Grammatical Error Correction. Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki [paper]
• Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. Felix Stahlberg, Ilia Kulikov, Shankar Kumar [paper]
• Adjusting the Precision-Recall Trade-Off with Align-and-Predict Decoding for Grammatical Error Correction. Xin Sun, Houfeng Wang [paper]
• “Is Whole Word Masking Always Better for Chinese BERT?”: Probing on Chinese Grammatical Error Correction. Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, Duyu Tang [paper]
• MDCSpell: A Multi-task Detector-Corrector Framework for Chinese Spelling Correction. Chenxi Zhu, Ziqiang Ying, Boyu Zhang, Feng Mao [paper]
• CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction. Shulin Liu, Shengkang Song, Tianchi Yue, Tao Yang, Huihui Cai, TingHao Yu, Shengli Sun [paper]
• The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. Yinghui Li, Qingyu Zhou, Yangning Li, Zhongli Li, Ruiyang Liu, Rongyi Sun, Zizhen Wang, Chao Li, Yunbo Cao, Hai-Tao Zheng [paper]
• Type-Driven Multi-Turn Corrections for Grammatical Error Correction. Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su [paper]
• Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation. Tianchi Yue, Shulin Liu, Huihui Cai, Tao Yang, Shengkang Song, TingHao Yu [paper]
• Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors. Ryo Nagata, Manabu Kimura, Kazuaki Hanawa [paper]
• How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. Shiyue Zhang, Benjamin E. Frey, and Mohit Bansal [paper]
• Automatic Gloss Dictionary for Sign Language Learners. Chenchen Xu, Dongxu Li, Hongdong Li, Hanna Suominen, Ben Swift [paper]
• Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. Daniel Wiechmann, Yu Qiao, Elma Kerz, Justus Mattern [paper]
• A Neural Pairwise Ranking Model for Readability Assessment. Justin Lee, Sowmya Vajjala [paper]
• Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization. Aidan Pine, Dan Wells, Nathan Brinklow, Patrick Littell, Korin Richmond [paper]
• Evaluating Factuality in Text Simplification. Ashwin Devaraj, William Sheffield, Byron Wallace, Junyi Jessy Li [paper]
• TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora. Regina Stodden, Laura Kallmeyer [paper]
• GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. Mohammad Dehghan, Dhruv Kumar, Lukasz Golab [paper]
• QuoteR: A Benchmark of Quote Recommendation for Writing. Fanchao Qi, Yanhui Yang, Jing Yi, Zhili Cheng, Zhiyuan Liu, Maosong Sun [paper]
• Interactive Word Completion for Plains Cree. William Lane, Atticus Harrigan, Antti Arppe [paper]
• Understanding Iterative Revision from Human-Written Text. Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang [paper]
• An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models. Sweta Agrawal, Marine Carpuat [paper]
• Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022). Ting-Hao ‘Kenneth’ Huang, Vipul Raheja, Dongyeop Kang, John Joon Young Chung, Daniel Gissin, Mina Lee, Katy Ilonka Gero [paper]