---
title: "TACL 2022 — all accepted papers with summaries and citations"
description: "All 84 papers of TACL 2022, the most cited first; those with our summary link to it. Among them: A Multi-Level Optimization Framework for…"
canonical: "https://research.elamur.ai/free/en/venues/tacl/2022/papers/"
---
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# TACL 2022: all accepted papers

84 papers · the most cited first · [← TACL 2022](https://md.research.elamur.ai/free/en/venues/tacl/2022/)

1. **[A Multi-Level Optimization Framework for End-to-End Text Augmentation ↗](https://aclanthology.org/2022.tacl-1.20/)**Sai Ashish Somayajula, Linfeng Song, Pengtao Xie
2. **[A Neighborhood Framework for Resource-Lean Content Flagging ↗](https://aclanthology.org/2022.tacl-1.28/)**Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov et al.
3. **[A Survey of Text Games for Reinforcement Learning Informed by Natural Language ↗](https://aclanthology.org/2022.tacl-1.51/)**Philip Osborne, Heido Nõmm, André Freitas
4. **[A Survey on Automated Fact-Checking](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*our summary*
5. **[A Survey on Cross-Lingual Summarization ↗](https://aclanthology.org/2022.tacl-1.75/)**Jiaan Wang, Fandong Meng, Duo Zheng et al.
6. **[ABNIRML: Analyzing the Behavior of Neural IR Models ↗](https://aclanthology.org/2022.tacl-1.13/)**Sean MacAvaney, Sergey Feldman, Nazli Goharian et al.
7. **[Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks ↗](https://aclanthology.org/2022.tacl-1.56/)**Aakanksha Naik, Jill Lehman, Carolyn Rosé
8. **[An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding ↗](https://aclanthology.org/2022.tacl-1.76/)**Hongchao Fang, Pengtao Xie
9. **[Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition ↗](https://aclanthology.org/2022.tacl-1.7/)**Mor Geva, Tomer Wolfson, Jonathan Berant
10. **[ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models ↗](https://aclanthology.org/2022.tacl-1.17/)**Linting Xue, Aditya Barua, Noah Constant et al.
11. **[Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation](https://md.research.elamur.ai/free/en/papers/clark-2022-canine-pre-training-efficient-tokenization/)**Jonathan H. Clark, Dan Garrette, Iulia Turc et al.*our summary*
12. **[Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond ↗](https://aclanthology.org/2022.tacl-1.66/)**Amir Feder, Katherine A. Keith, Emaad Manzoor et al.
13. **[Compositional Evaluation on Japanese Textual Entailment and Similarity ↗](https://aclanthology.org/2022.tacl-1.73/)**Hitomi Yanaka, Koji Mineshima
14. **[Compositional Generalization in Multilingual Semantic Parsing over Wikidata ↗](https://aclanthology.org/2022.tacl-1.55/)**Ruixiang Cui, Rahul Aralikatte, Heather Lent et al.
15. **[Czech Grammar Error Correction with a Large and Diverse Corpus ↗](https://aclanthology.org/2022.tacl-1.26/)**Jakub Náplava, Milan Straka, Jana Straková et al.
16. **[DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon ↗](https://aclanthology.org/2022.tacl-1.61/)**Robin Algayres, Tristan Ricoul, Julien Karadayi et al.
17. **[Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation ↗](https://aclanthology.org/2022.tacl-1.23/)**Zoey Liu, Emily Prud'hommeaux
18. **[Data-to-text Generation with Variational Sequential Planning ↗](https://aclanthology.org/2022.tacl-1.40/)**Ratish Puduppully, Yao Fu, Mirella Lapata
19. **[Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations](https://md.research.elamur.ai/free/en/papers/davani-2022-dealing-disagreements-looking-beyond-majority/)**Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran*our summary*
20. **[Decomposing and Recomposing Event Structure ↗](https://aclanthology.org/2022.tacl-1.2/)**William Gantt, Lelia Glass, Aaron Steven White
21. **[Dependency Parsing with Backtracking using Deep Reinforcement Learning ↗](https://aclanthology.org/2022.tacl-1.52/)**Franck Dary, Maxime Petit, Alexis Nasr
22. **[Designing an Automatic Agent for Repeated Language–based Persuasion Games ↗](https://aclanthology.org/2022.tacl-1.18/)**Maya Raifer, Guy Rotman, Reut Apel et al.
23. **[Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference ↗](https://aclanthology.org/2022.tacl-1.64/)**Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira et al.
24. **[Document Summarization with Latent Queries ↗](https://aclanthology.org/2022.tacl-1.36/)**Yumo Xu, Mirella Lapata
25. **[Draw Me a Flower: Processing and Grounding Abstraction in Natural Language ↗](https://aclanthology.org/2022.tacl-1.77/)**Royi Lachmy, Valentina Pyatkin, Avshalom Manevich et al.
26. **[End-to-end Argument Mining with Cross-corpora Multi-task Learning ↗](https://aclanthology.org/2022.tacl-1.37/)**Gaku Morio, Hiroaki Ozaki, Terufumi Morishita et al.
27. **[Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark](https://md.research.elamur.ai/free/en/papers/dziri-2022-evaluating-attribution-dialogue-systems-begin/)**Nouha Dziri, Hannah Rashkin, Tal Linzen et al.*our summary*
28. **[Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?](https://md.research.elamur.ai/free/en/papers/pruthi-2022-evaluating-explanations-how-much-do/)**Danish Pruthi, Rachit Bansal, Bhuwan Dhingra et al.*our summary*
29. **[Explainable Abuse Detection as Intent Classification and Slot Filling ↗](https://aclanthology.org/2022.tacl-1.82/)**Agostina Calabrese, Björn Ross, Mirella Lapata
30. **[Fact Checking with Insufficient Evidence ↗](https://aclanthology.org/2022.tacl-1.43/)**Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma et al.
31. **[FaithDial: A Faithful Benchmark for Information-Seeking Dialogue](https://md.research.elamur.ai/free/en/papers/dziri-2022-faithdial-faithful-benchmark-information-seeking/)**Nouha Dziri, Ehsan Kamalloo, Sivan Milton et al.*our summary*
32. **[FeTaQA: Free-form Table Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/)**Linyong Nan, Chiachun Hsieh, Ziming Mao et al.*our summary*
33. **[Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ↗](https://aclanthology.org/2022.tacl-1.46/)**Yiding Hao, Dana Angluin, Robert Frank
34. **[Generate, Annotate, and Learn: NLP with Synthetic Text ↗](https://aclanthology.org/2022.tacl-1.48/)**Xuanli He, Islam Nassar, Jamie Kiros et al.
35. **[Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions ↗](https://aclanthology.org/2022.tacl-1.65/)**Ziheng Zeng, Suma Bhat
36. **[Heterogeneous Supervised Topic Models ↗](https://aclanthology.org/2022.tacl-1.42/)**Dhanya Sridhar, Hal Daumé III, David Blei
37. **[High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/)**Markus Freitag, David Grangier, Qijun Tan et al.*our summary*
38. **[How to Dissect a Muppet: The Structure of Transformer Embedding Spaces ↗](https://aclanthology.org/2022.tacl-1.57/)**Timothee Mickus, Denis Paperno, Mathieu Constant
39. **[Investigating Reasons for Disagreement in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/jiang-2022-investigating-reasons-disagreement-natural-language/)**Nan-Jiang Jiang, Marie-Catherine de Marneffe*our summary*
40. **[Is My Model Using the Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning ↗](https://aclanthology.org/2022.tacl-1.38/)**Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal et al.
41. **[It's not Rocket Science: Interpreting Figurative Language in Narratives](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-it-s-not-rocket-science/)**Tuhin Chakrabarty, Yejin Choi, Vered Shwartz*our summary*
42. **[LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation ↗](https://aclanthology.org/2022.tacl-1.25/)**Jian Guan, Zhuoer Feng, Yamei Chen et al.
43. **[Learning English with Peppa Pig ↗](https://aclanthology.org/2022.tacl-1.54/)**Mitja Nikolaus, Afra Alishahi, Grzegorz Chrupała
44. **[Learning Fair Representations via Rate-Distortion Maximization ↗](https://aclanthology.org/2022.tacl-1.67/)**Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
45. **[Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation ↗](https://aclanthology.org/2022.tacl-1.72/)**Zejiang Hou, Julian Salazar, George Polovets
46. **[Minimum Description Length Recurrent Neural Networks ↗](https://aclanthology.org/2022.tacl-1.45/)**Nur Lan, Michal Geyer, Emmanuel Chemla et al.
47. **[Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights ↗](https://aclanthology.org/2022.tacl-1.63/)**Anthony Sicilia, Tristan Maidment, Pat Healy et al.
48. **[Morphology Without Borders: Clause-Level Morphology ↗](https://aclanthology.org/2022.tacl-1.83/)**Omer Goldman, Reut Tsarfaty
49. **[Multi-task Active Learning for Pre-trained Transformer-based Models ↗](https://aclanthology.org/2022.tacl-1.70/)**Guy Rotman, Roi Reichart
50. **[Multilingual Autoregressive Entity Linking ↗](https://aclanthology.org/2022.tacl-1.16/)**Nicola De Cao, Ledell Wu, Kashyap Popat et al.
51. **[Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference ↗](https://aclanthology.org/2022.tacl-1.14/)**Yufei Feng, Xiaoyu Yang, Xiaodan Zhu et al.
52. **[Neuron-level Interpretation of Deep NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/sajjad-2022-neuron-level-interpretation-deep-nlp/)**Hassan Sajjad, Nadir Durrani, Fahim Dalvi*our summary*
53. **[On Decoding Strategies for Neural Text Generators ↗](https://aclanthology.org/2022.tacl-1.58/)**Gian Wiher, Clara Meister, Ryan Cotterell
54. **[Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation ↗](https://aclanthology.org/2022.tacl-1.8/)**Noriki Nishida, Yuji Matsumoto
55. **[PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains ↗](https://aclanthology.org/2022.tacl-1.24/)**Eyal Ben-David, Nadav Oved, Roi Reichart
56. **[Predicting Document Coverage for Relation Extraction ↗](https://aclanthology.org/2022.tacl-1.12/)**Sneha Singhania, Simon Razniewski, Gerhard Weikum
57. **[ProoFVer: Natural Logic Theorem Proving for Fact Verification ↗](https://aclanthology.org/2022.tacl-1.59/)**Amrith Krishna, Sebastian Riedel, Andreas Vlachos
58. **[Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/)**Julia Kreutzer, Isaac Caswell, Lisa Wang et al.*our summary*
59. **[Reducing Conversational Agents' Overconfidence Through Linguistic Calibration ↗](https://aclanthology.org/2022.tacl-1.50/)**Sabrina J. Mielke, Arthur Szlam, Emily Dinan et al.
60. **[Relational Memory-Augmented Language Models ↗](https://aclanthology.org/2022.tacl-1.32/)**Qi Liu, Dani Yogatama, Phil Blunsom
61. **[Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval ↗](https://aclanthology.org/2022.tacl-1.29/)**Gregor Geigle, Jonas Pfeiffer, Nils Reimers et al.
62. **[Robust Dialogue State Tracking with Weak Supervision and Sparse Data ↗](https://aclanthology.org/2022.tacl-1.68/)**Michael Heck, Nurul Lubis, Carel van Niekerk et al.
63. **[Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/)**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj et al.*our summary*
64. **[Saturated Transformers are Constant-Depth Threshold Circuits ↗](https://aclanthology.org/2022.tacl-1.49/)**William Merrill, Ashish Sabharwal, Noah A. Smith
65. **[Scientia Potentia Est–-On the Role of Knowledge in Computational Argumentation ↗](https://aclanthology.org/2022.tacl-1.80/)**Anne Lauscher, Henning Wachsmuth, Iryna Gurevych et al.
66. **[Sentence Similarity Based on Contexts ↗](https://aclanthology.org/2022.tacl-1.33/)**Xiaofei Sun, Yuxian Meng, Xiang Ao et al.
67. **[Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations ↗](https://aclanthology.org/2022.tacl-1.60/)**Arabella Sinclair, Jaap Jumelet, Willem Zuidema et al.
68. **[SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization ↗](https://aclanthology.org/2022.tacl-1.10/)**Philippe Laban, Tobias Schnabel, Paul N. Bennett et al.
69. **[Template-based Abstractive Microblog Opinion Summarization ↗](https://aclanthology.org/2022.tacl-1.71/)**Iman Munire Bilal, Bo Wang, Adam Tsakalidis et al.
70. **[Temporal Effects on Pre-trained Models for Language Processing Tasks ↗](https://aclanthology.org/2022.tacl-1.53/)**Oshin Agarwal, Ani Nenkova
71. **[Text-based NP Enrichment ↗](https://aclanthology.org/2022.tacl-1.44/)**Yanai Elazar, Victoria Basmov, Yoav Goldberg et al.
72. **[The Emergence of Argument Structure in Artificial Languages ↗](https://aclanthology.org/2022.tacl-1.79/)**Tom Bosc, Pascal Vincent
73. **[The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ↗](https://aclanthology.org/2022.tacl-1.30/)**Naman Goyal, Cynthia Gao, Vishrav Chaudhary et al.
74. **[Time-Aware Language Models as Temporal Knowledge Bases](https://md.research.elamur.ai/free/en/papers/dhingra-2022-time-aware-language-models-as/)**Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos et al.*our summary*
75. **[TopiOCQA: Open-domain Conversational Question Answering with Topic Switching](https://md.research.elamur.ai/free/en/papers/adlakha-2022-topiocqa-open-domain-conversational-question/)**Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman et al.*our summary*
76. **[Towards General Natural Language Understanding with Probabilistic Worldbuilding ↗](https://aclanthology.org/2022.tacl-1.19/)**Abulhair Saparov, Tom M. Mitchell
77. **[Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale ↗](https://aclanthology.org/2022.tacl-1.81/)**Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro et al.
78. **[True Few-Shot Learning with Prompts–-A Real-World Perspective ↗](https://aclanthology.org/2022.tacl-1.41/)**Timo Schick, Hinrich Schütze
79. **[Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference ↗](https://aclanthology.org/2022.tacl-1.35/)**Bangzheng Li, Wenpeng Yin, Muhao Chen
80. **[Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression ↗](https://aclanthology.org/2022.tacl-1.39/)**Yuxia Wang, Daniel Beck, Timothy Baldwin et al.
81. **[Unit Testing for Concepts in Neural Networks ↗](https://aclanthology.org/2022.tacl-1.69/)**Charles Lovering, Ellie Pavlick
82. **[VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups ↗](https://aclanthology.org/2022.tacl-1.22/)**Zejiang Shen, Kyle Lo, Lucy Lu Wang et al.
83. **[Word Acquisition in Neural Language Models ↗](https://aclanthology.org/2022.tacl-1.1/)**Tyler A. Chang, Benjamin K. Bergen
84. **[♫ MuSiQue: Multihop Questions via Single-hop Question Composition](https://md.research.elamur.ai/free/en/papers/trivedi-2022-musique-multihop-questions-single-hop/)**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot et al.*our summary*
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