Educational NLP at EMNLP 2022

Proceedings: https://preview.aclanthology.org/emnlp-22-ingestion/volumes/2022.emnlp-main/

Topics:

• Generative Language Models for Paragraph-Level Question Generation. Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados [paper]
• Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma [paper]
• Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan [paper]
• RuCoLA: Russian Corpus of Linguistic Acceptability. Vladislav Mikhailov, Tatiana Shamardina, Max Ryabinin, Alena Pestova, Ivan Smurov, Ekaterina Artemova [paper]
• CEFR-Based Sentence Difficulty Annotation and Assessment. Yuki Arase, Satoru Uchida, Tomoyuki Kajiwara [paper]
• Linguistic Corpus Annotation for Automatic Text Simplification Evaluation. Rémi Cardon, Adrien Bibal, Rodrigo Wilkens, David Alfter, Magali Norré, Adeline Müller, Watrin Patrick, Thomas François [paper]
• Improved grammatical error correction by ranking elementary edits. Alexey Sorokin [paper]
• Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction. Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin [paper]
• Revisiting Grammatical Error Correction Evaluation and Beyond. Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang [paper]
• SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang [paper]
• Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang [paper]
• Open-Ended Knowledge Tracing for Computer Science Education. Naiming Liu, Zichao Wang, Richard Baraniuk, Andrew Lan [paper]
• A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss. Wenbiao Li, Wang Ziyang, Yunfang Wu [paper]
• AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning. Jianzhu Bao, Yasheng Wang, Yitong Li, Fei Mi, Ruifeng Xu [paper]
• Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks. Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang [paper]

The Text Simplification, Accessibility, and Readability (TSAR) workshop @EMNLP 2022:

• A Dataset of Word-Complexity Judgements from Deaf and Hard-of-Hearing Adults for Text Simplification. Oliver Alonzo, Sooyeon Lee, Mounica Maddela, Wei Xu, Matt Huenerfauth
• IrekiaLF_es: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification. Itziar Gonzalez-Dios, Iker Gutiérrez-Fandiño, Oscar M. Cumbicus-Pineda, Aitor Soroa
• JADES: New Text Simplification Dataset in Japanese Targeted at Non-Native Speakers. Akio Hayakawa, Tomoyuki Kajiwara, Hiroki Ouchi, Taro Watanabe
• Conciseness: An Overlooked Language Task. Felix Stahlberg, Aashish Kumar, Chris Alberti, Shankar Kumar [paper]
• Revision for Concision: A Constrained Paraphrase Generation Task. Wenchuan Mu, Kwan Hui Lim [paper]
• Controlling Japanese Machine Translation Output by Using JLPT Vocabulary Levels. Alberto Poncelas, Ohnmar Htun
• A Benchmark for Neural Readability Assessment of Texts in Spanish. Laura Vásquez-Rodríguez, Pedro-Manuel Cuenca-Jiménez, Sergio Morales-Esquivel, Fernando Alva-Manchego
• Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models. Patrick Haller, Andreas Säuberli, Sarah Kiener, Jinger Pan, Ming Yan, Lena Jäger [paper]
• The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting. Tadashi Nomoto (#readability)
• An Investigation into the Effect of Control Tokens on Text Simplification. Zihao Li, Matthew Shardlow, Saeed Hassan
• Controllable Lexical Simplification for English. Kim Cheng Sheang, Daniel Ferrés, Horacio Saggion
• Divide-and-Conquer Text Simplification by Scalable Data Enhancement. Sanqiang Zhao, Rui Meng, Hui Su, Daqing He
• Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification. Horacio Saggion, Sanja Štajner, Daniel Ferrés, Kim Cheng Sheang, Matthe Shardlow, Kai North, Marcos Zampieri
• Improving Text Simplification with Factuality Error Detection. Yuan Ma, Sandaru Seneviratne, Elena Daskalaki
• Lexical Simplification in Foreign Language Learning: Creating Pedagogically Suitable Simplified Example Sentences. Jasper Degraeuwe, Horacio Saggion
• Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification. Tatsuya Zetsu, Tomoyuki Kajiwara, Yuki Arase
• Parallel Corpus Filtering for Japanese Text Simplification. Koki Hatagaki, Tomoyuki Kajiwara, Takashi Ninomiya
• Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset. Jan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus, Christin Seifert [paper]
• (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification. Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz [paper]
• Target-Level Sentence Simplification as Controlled Paraphrasing. Tannon Kew, Sarah Ebling