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# Transactions of the Association for Computational Linguistics (TACL) 2022 — papers

The works of Transactions of the Association for Computational Linguistics (TACL) published in 2022 that our library holds (publisher: The MIT Press): 15 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**84** works that year](#all) · [**15** works in our library](https://md.research.elamur.ai/free/en/venues/tacl/2022/#works) · [**3,513** citations of these works](https://md.research.elamur.ai/free/en/venues/tacl/2022/#works)

## All works of the year (84)

The most cited first; 15 with our summary link to their page here, the others to the original.

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.

[See all 84 papers in Transactions of the Association for Computational Linguistics (TACL) 2022 — papers →](https://md.research.elamur.ai/free/en/venues/tacl/2022/papers/)

## Works with our summary in our library (15)

The most cited first (OpenAlex citations plus our library's).

1. **[A Survey on Automated Fact-Checking](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*
2. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran*2022 · 415 citations*
3. **[♫ MuSiQue: Multihop Questions via Single-hop Question Composition](https://md.research.elamur.ai/free/en/papers/trivedi-2022-musique-multihop-questions-single-hop/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 384 citations*
4. **[Time-Aware Language Models as Temporal Knowledge Bases](https://md.research.elamur.ai/free/en/papers/dhingra-2022-time-aware-language-models-as/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.*2022 · 344 citations*
5. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.*2022 · 307 citations*
6. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.*2022 · 297 citations*
7. **[FeTaQA: Free-form Table Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*
8. **[TopiOCQA: Open-domain Conversational Question Answering with Topic Switching](https://md.research.elamur.ai/free/en/papers/adlakha-2022-topiocqa-open-domain-conversational-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, et al.*2022 · 143 citations*
9. **[FaithDial: A Faithful Benchmark for Information-Seeking Dialogue](https://md.research.elamur.ai/free/en/papers/dziri-2022-faithdial-faithful-benchmark-information-seeking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.*2022 · 138 citations*
10. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Markus Freitag, David Grangier, Qijun Tan, et al.*2022 · 120 citations*
11. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, et al.*2022 · 107 citations*
12. **[Investigating Reasons for Disagreement in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/jiang-2022-investigating-reasons-disagreement-natural-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nan-Jiang Jiang, Marie-Catherine de Marneffe*2022 · 104 citations*
13. **[Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark](https://md.research.elamur.ai/free/en/papers/dziri-2022-evaluating-attribution-dialogue-systems-begin/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.*2022 · 99 citations*
14. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tuhin Chakrabarty, Yejin Choi, Vered Shwartz*2022 · 91 citations*
15. **[Neuron-level Interpretation of Deep NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/sajjad-2022-neuron-level-interpretation-deep-nlp/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hassan Sajjad, Nadir Durrani, Fahim Dalvi*2022 · 84 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Dialogue systems (3)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

## Fields

[Computer Science (15)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (13)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (2)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Bhuwan Dhingra**2 works here · 451 citations](https://md.research.elamur.ai/free/en/authors/bhuwan-dhingra/) · [🧑‍🔬**William W. Cohen**2 works here · 451 citations](https://md.research.elamur.ai/free/en/authors/william-w-cohen/) · [🧑‍🔬**Siva Reddy**2 works here · 281 citations](https://md.research.elamur.ai/free/en/authors/siva-reddy/) · [🧑‍🔬**Nouha Dziri**2 works here · 237 citations](https://md.research.elamur.ai/free/en/authors/nouha-dziri/) · [🧑‍🔬**Andreas Vlachos**1 work here · 646 citations](https://md.research.elamur.ai/free/en/authors/andreas-vlachos/) · [🧑‍🔬**Michael Schlichtkrull**1 work here · 646 citations](https://md.research.elamur.ai/free/en/authors/michael-schlichtkrull/) · [🧑‍🔬**Zhijiang Guo**1 work here · 646 citations](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/) · [🧑‍🔬**Aida Mostafazadeh Davani**1 work here · 415 citations](https://md.research.elamur.ai/free/en/authors/aida-mostafazadeh-davani/) · [🧑‍🔬**Mark Díaz**1 work here · 415 citations](https://md.research.elamur.ai/free/en/authors/mark-diaz/) · [🧑‍🔬**Vinodkumar Prabhakaran**1 work here · 415 citations](https://md.research.elamur.ai/free/en/authors/vinodkumar-prabhakaran/) · [🧑‍🔬**Ashish Sabharwal**1 work here · 384 citations](https://md.research.elamur.ai/free/en/authors/ashish-sabharwal/) · [🧑‍🔬**Harsh Trivedi**1 work here · 384 citations](https://md.research.elamur.ai/free/en/authors/harsh-trivedi/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Google** Mountain View · United States 6 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Alberta** Edmonton · Canada 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-alberta/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2 works here](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**McGill University** Montreal · Canada 2 works here](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🔬**Canadian Institute for Advanced Research** Toronto · Canada 1 work here](https://md.research.elamur.ai/free/en/labs/canadian-institute-for-advanced-research/) · [🎓**University of Southern California** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**Dalhousie University** Halifax · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/dalhousie-university/) · [🎓**Pennsylvania State University** State College · United States 1 work here](https://md.research.elamur.ai/free/en/universities/pennsylvania-state-university/) · [🎓**University of British Columbia** Vancouver · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**Tencent** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/tencent/)

works and citations from OpenAlex and our library.

- [← previous TACL 2021](https://md.research.elamur.ai/free/en/venues/tacl/2021/)
- [next → TACL 2023](https://md.research.elamur.ai/free/en/venues/tacl/2023/)
- [↑ back to TACL](https://md.research.elamur.ai/free/en/venues/tacl/)