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title: "NAACL 2022 — all accepted papers, page 6 — Elamur Research"
description: "All 538 papers of NAACL 2022 · page 6 of 6, the most cited first; those with our summary link to it."
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# NAACL 2022: all accepted papers

538 papers · page 6 of 6 · the most cited first · [← NAACL 2022](https://md.research.elamur.ai/free/en/venues/naacl/2022/)

[← prev](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/page/5/) [1](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/) … [5](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/page/5/) **6**

501. **[MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset ↗](https://aclanthology.org/2022.naacl-main.123/)**Yahui Liu, Haoping Yang, Chen Gong et al.*1 citation*
502. **[Multimodal Modeling of Task-Mediated Confusion ↗](https://aclanthology.org/2022.naacl-srw.24/)**Camille Mince, Skye Rhomberg, Cecilia Alm et al. · Student Research Workshop*1 citation*
503. **[Neural Networks in a Product of Hyperbolic Spaces ↗](https://aclanthology.org/2022.naacl-srw.27/)**Jun Takeuchi, Noriki Nishida, Hideki Nakayama · Student Research Workshop*1 citation*
504. **[On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation ↗](https://aclanthology.org/2022.naacl-main.161/)**Kelly Marchisio, Markus Freitag, David Grangier*1 citation*
505. **[Q2R: A Query-to-Resolution System for Natural-Language Queries ↗](https://aclanthology.org/2022.naacl-industry.39/)**Shiau Hong Lim, Laura Wynter · Industry Track*1 citation*
506. **[The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation ↗](https://aclanthology.org/2022.naacl-main.136/)**Tobias Domhan, Eva Hasler, Ke Tran et al.*1 citation*
507. **[Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding ↗](https://aclanthology.org/2022.naacl-main.28/)**Hao Huang, Xiubo Geng, Guodong Long et al.*1 citation*
508. **[Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations ↗](https://aclanthology.org/2022.naacl-srw.33/)**Antoine Simoulin, Benoit Crabbé · Student Research Workshop*1 citation*
509. **[Unsupervised Paraphrasability Prediction for Compound Nominalizations ↗](https://aclanthology.org/2022.naacl-main.237/)**John Sie Yuen Lee, Ho Hung Lim, Carol Webster*1 citation*
510. **[What Do Users Care About? Detecting Actionable Insights from User Feedback ↗](https://aclanthology.org/2022.naacl-industry.27/)**Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen McKeown et al. · Industry Track*1 citation*
511. **[WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks ↗](https://aclanthology.org/2022.naacl-main.178/)**Bradley Hauer, Grzegorz Kondrak*1 citation*
512. **[AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy ↗](https://aclanthology.org/2022.naacl-industry.4/)**Raphael Petegrosso, VasistaKrishna Baderdinnni, Thibaud Senechal et al. · Industry Track
513. **[Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet ↗](https://aclanthology.org/2022.naacl-srw.12/)**Ali Hatami, Paul Buitelaar, Mihael Arcan · Student Research Workshop
514. **[Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification ↗](https://aclanthology.org/2022.naacl-main.213/)**Yang Xiao, Jinlan Fu, See-Kiong Ng et al.
515. **[Aspect-based Analysis of Advertising Appeals for Search Engine Advertising ↗](https://aclanthology.org/2022.naacl-industry.9/)**Soichiro Murakami, Peinan Zhang, Sho Hoshino et al. · Industry Track
516. **[CULG: Commercial Universal Language Generation ↗](https://aclanthology.org/2022.naacl-industry.14/)**Haonan Li, Yameng Huang, Yeyun Gong et al. · Industry Track
517. **[Constraining word alignments with posterior regularization for label transfer ↗](https://aclanthology.org/2022.naacl-industry.15/)**Kevin Jose, Thomas Gueudre · Industry Track
518. **[Disentangling Categorization in Multi-agent Emergent Communication ↗](https://aclanthology.org/2022.naacl-main.335/)**Washington Garcia, Hamilton Clouse, Kevin Butler
519. **[Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts ↗](https://aclanthology.org/2022.naacl-srw.16/)**Aleksandra Konovalova, Antonio Toral, Kristiina Taivalkoski-Shilov · Student Research Workshop
520. **[Efficient Semi-supervised Consistency Training for Natural Language Understanding ↗](https://aclanthology.org/2022.naacl-industry.11/)**George Leung, Joshua Tan · Industry Track
521. **[Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN ↗](https://aclanthology.org/2022.naacl-main.145/)**Si-An Chen, Jie-jyun Liu, Tsung-Han Yang et al.
522. **[Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs ↗](https://aclanthology.org/2022.naacl-main.423/)**Ghazi Felhi, Joseph Le Roux, Djamé Seddah
523. **[Fast and Light-Weight Answer Text Retrieval in Dialogue Systems ↗](https://aclanthology.org/2022.naacl-industry.37/)**Hui Wan, Siva Sankalp Patel, J William Murdock et al. · Industry Track
524. **[Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture ↗](https://aclanthology.org/2022.naacl-demo.5/)**Jan Pichl, Petr Marek, Jakub Konrád et al. · System Demonstrations
525. **[Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models ↗](https://aclanthology.org/2022.naacl-main.315/)**Tomohiro Yamasaki
526. **[How do people talk about images? A study on open-domain conversations with images. ↗](https://aclanthology.org/2022.naacl-srw.20/)**Yi-Pei Chen, Nobuyuki Shimizu, Takashi Miyazaki et al. · Student Research Workshop
527. **[LITE: Intent-based Task Representation Learning Using Weak Supervision ↗](https://aclanthology.org/2022.naacl-main.172/)**Naoki Otani, Michael Gamon, Sujay Kumar Jauhar et al.
528. **[Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ↗](https://aclanthology.org/2022.naacl-main.268/)**Chenxuan Cui, Katherine J. Zhang, David Mortensen
529. **[Local-to-global learning for iterative training of production SLU models on new features ↗](https://aclanthology.org/2022.naacl-industry.13/)**Yulia Grishina, Daniil Sorokin · Industry Track
530. **[MM-GATBT: Enriching Multimodal Representation Using Graph Attention Network ↗](https://aclanthology.org/2022.naacl-srw.14/)**Seung Byum Seo, Hyoungwook Nam, Payam Delgosha · Student Research Workshop
531. **[Regularized Training of Nearest Neighbor Language Models ↗](https://aclanthology.org/2022.naacl-srw.4/)**Jean-Francois Ton, Walter Talbott, Shuangfei Zhai et al. · Student Research Workshop
532. **[Retrieval Based Response Letter Generation For a Customer Care Setting ↗](https://aclanthology.org/2022.naacl-industry.20/)**Biplob Biswas, Renhao Cui, Rajiv Ramnath · Industry Track
533. **[Simulating Feature Structures with Simple Types ↗](https://aclanthology.org/2022.naacl-srw.15/)**Valentin D. Richard · Student Research Workshop
534. **[Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences ↗](https://aclanthology.org/2022.naacl-main.381/)**Yifan Chen, Qi Zeng, Dilek Hakkani-Tur et al.
535. **[Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention ↗](https://aclanthology.org/2022.naacl-srw.1/)**Ayush K Chakravarthy, Jacob Labe Russin, Randall O'Reilly · Student Research Workshop
536. **[Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data ↗](https://aclanthology.org/2022.naacl-main.149/)**Kemal Kurniawan, Lea Frermann, Philip Schulz et al.
537. **[Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages ↗](https://aclanthology.org/2022.naacl-main.298/)**Ramy Eskander, Cass Lowry, Sujay Khandagale et al.
538. **[Web-based Annotation Interface for Derivational Morphology ↗](https://aclanthology.org/2022.naacl-demo.2/)**Lukáš Kyjánek · System Demonstrations

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