Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:17.80
Contributing Best Scientists:304
H5-index:
Papers published by Best Scientists458
Research Ranking (Computer Science)11
Research Ranking (Social Sciences and Humanities)22
Research Ranking (Social Sciences and Humanities)16
Research Ranking (Computer Science)10
Conference Call for Papers
NAACL 2022 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. NAACL 2022 has a goal of a diverse technical program—in addition to traditional research results, papers may contribute negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing techniques, and reproduce, or fail to reproduce, previous results.
As in recent years, some of the presentations at the conference will be on papers accepted by the Transactions of the ACL (TACL) and by the Computational Linguistics (CL) journals.
New this year:
Reviewing for main conference submissions will be handled by the ACL Rolling Review, except for Special Theme submissions.
Accepted papers will have the option to earn reproducibility badges.
Submission TopicsPermalink
NAACL 2022 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):
Computational Social Science and Cultural Analytics
Dialogue and Interactive Systems
Discourse and Pragmatics
Efficient Methods for NLP
Ethics and NLP
Generation
Information Extraction
Information Retrieval and Text Mining
Interpretability and Analysis of Models for NLP
Language Grounding to Vision, Robotics and Beyond
Linguistic theories, Cognitive Modeling and Psycholinguistics
Machine Learning for NLP
Machine Translation and Multilinguality
NLP Applications
Phonology, Morphology and Word Segmentation
Question Answering
Resources and Evaluation
Semantics: Lexical
Semantics: Sentence-level Semantics, Textual Inference and Other areas
Sentiment Analysis, Stylistic Analysis, and Argument Mining
Speech and Multimodality
Summarization
Syntax: Tagging, Chunking and Parsing
Theme: Human-Centered Natural Language Processing
NAACL 2022 Theme Track: “Human-Centered Natural Language Processing”
As NLP applications increasingly mediate people’s lives, it is crucial to understand how the design decisions made throughout the NLP research and development lifecycle impact people, whether there are users, developers, data providers or other stakeholders. For NAACL 2022, we invite submissions that address research questions that meaningfully incorporate stakeholders in the design, development, and evaluation of NLP resources, models and systems. We particularly encourage submissions that bring together perspectives and methods from NLP and Human-Computer Interaction. In addition to research papers presenting studies, we invite survey and position papers that take stock of past work in human-centered NLP and propose directions for framing future research.
Topics of interest include: usability studies of language technologies; needs-findings studies; studies of human factors in the NLP R&D lifecycle, including interactive systems; human-centered fairness, accountability, explainability, transparency, and ethics in NLP systems.
Relevant methods include (but are not limited to) user-centered design, value-sensitive design, participatory design, assets-based design, and qualitative methods, such as grounded theory. We welcome contributions that use such methods to study NLP problems, as well as methodological innovations and tools that tailor these methods to NLP.
More information about the special theme, including how special theme submissions differ from regular paper submissions can be found here.
ACL Rolling Review
ACL 2022 and NAACL 2022 have decided to help implement the vision of using the ACL Rolling Review (ARR) as a reviewing system while final decisions will continue to be made by the conferences. The purpose of ARR is to improve efficiency and turnaround of reviewing in *ACL conferences while keeping the diversity (geographic and otherwise) and editorial freedom. For 2022, both conferences have worked out a coordinated submission plan to allow for maximum flexibility during their submission periods for the authors. ARR is a new review system for *ACL conferences, where reviewing and acceptance of papers to publication venues is done in a two-step process:
- centralized rolling review via ARR, where submissions receive reviews and meta-reviews from ARR reviewers and action editors;
- commitment to a publication venue (e.g., NAACL 2022), so that Senior Area Chairs and Program Chairs make acceptance decisions for a submission using the ARR reviews and meta-reviews.
ARR uses Open Review as its platform. The reviewing process continues to be double blind. Reviews will not be open in ARR; however, authors might choose to open their anonymized submission through the platform.
Paper Submission DetailsPermalink
Long PapersPermalink
Long papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included.
Long paper submissions should follow ARR formatting requirements. Final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account.
Short PapersPermalink
Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Some kinds of short papers include:
A small, focused contribution
A negative result
An opinion piece
An interesting application nugget
Short paper submissions should follow the ARR formatting requirements. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are strongly encouraged to use this additional page to address reviewers’ comments in their final versions.
Presentation at the ConferencePermalink
All accepted papers must be presented at the conference to appear in the proceedings. The authors of papers accepted for presentation at NAACL 2022 or at the Findings of NAACL 2022 must notify the program chairs by April 11, 2022 if they wish to withdraw their paper. At least one author of each accepted paper must register for NAACL 2022 by the early registration deadline.
Long and short papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and papers presented as posters.
Theme PapersPermalink
Special theme papers should be submitted to the NAACL 2022 Open Review site by the January 15 deadline. They will be evaluated according to a dedicated review form by a theme-specific reviewer pool.
The submission requirements for theme papers are the same as for long papers. However, the nature of a long paper is different from a theme paper and the reviewing process will be separate, with a dedicated submission site, reviewer pool and review form.
Overview
Top Research Topics at North American Chapter of the Association for Computational Linguistics?
Artificial intelligence (74.74%)
Natural language processing (60.08%)
SemEval (14.75%)
North American Chapter of the Association for Computational Linguistics is mainly concerned with subjects like Artificial intelligence, Natural language processing, SemEval, Machine learning and Word (computer architecture).
The research on Artificial intelligence tackled can also make contributions to studies in the areas of Context (language use) and Speech recognition.
Issues in Natural language processing were discussed, taking into consideration concepts from other disciplines like Domain (software engineering) and Information retrieval.
The main emphasis of the conference is the research on Information retrieval, emphasizing the topic of Question answering.
It features SemEval research that overlaps with concepts in Sentiment analysis.
North American Chapter of the Association for Computational Linguistics explores topics in Machine translation which can be helpful for research in disciplines like Translation (geometry) and Rule-based machine translation.
What are the most cited papers published at the conference?
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (22178 citations)
Deep contextualized word representations (5665 citations)
Research areas of the most cited articles at North American Chapter of the Association for Computational Linguistics:
The most cited papers mostly deal with topics like Artificial intelligence, Natural language processing, Machine learning, Speech recognition and Word (computer architecture).
In the Artificial intelligence research discussed in the published papers, Sentence, Machine translation, Parsing, SemEval and Language model are all tackled.
While Natural language processing is the focus of the conference articles, it also provides insights into the studies of Context (language use) and Information retrieval.
What topics the last edition of the conference is best known for?
Artificial intelligence
Natural language processing
Machine learning
The previous edition focused in particular on these issues:
The foci of the conference are Artificial intelligence, Natural language processing, Machine learning, Language model and Transformer (machine learning model).
The studies in Artificial intelligence featured incorporate elements of Domain (software engineering) and Context (language use).
Sentence, Automatic summarization, Parsing, Question answering and Natural language are all subfields of Natural language processing research that were featured in it.
North American Chapter of the Association for Computational Linguistics is concerned with the study of Question answering and Information retrieval in general.
The study on Machine learning featured in the event expounds on the topic of Leverage (statistics) in particular.
Machine translation research discussed connects with the study of Translation (geometry).
The most cited articles from the last conference are:
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners (96 citations)
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer (57 citations)
KILT: a Benchmark for Knowledge Intensive Language Tasks (40 citations)
Papers citation over time
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
Research.com
Top authors and change over time
The top authors publishing at North American Chapter of the Association for Computational Linguistics (based on the number of publications) are:
Noah A. Smith (40 papers) published 2 papers at the last edition, 1 less than at the previous edition,
Dan Roth (31 papers) published 7 papers at the last edition, 4 more than at the previous edition,
Dan Jurafsky (30 papers) published 2 papers at the last edition, 1 less than at the previous edition,
Dan Klein (29 papers) published 4 papers at the last edition, 3 more than at the previous edition,
Eduard Hovy (28 papers) published 1 paper at the last edition, 3 less than at the previous edition.
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Research.com
Top affiliations and change over time
Only papers with recognized affiliations are considered
The top affiliations publishing at North American Chapter of the Association for Computational Linguistics (based on the number of publications) are:
Carnegie Mellon University (261 papers) published 45 papers at the last edition, 9 more than at the previous edition,
Microsoft (202 papers) published 51 papers at the last edition, 22 more than at the previous edition,
University of Washington (156 papers) published 17 papers at the last edition, 8 less than at the previous edition,
Johns Hopkins University (143 papers) published 13 papers at the last edition, 2 less than at the previous edition,
IBM (139 papers) published 25 papers at the last edition, 3 more than at the previous edition.
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
Research.com
Publication chance based on affiliation
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
Research.com
During the most recent 2021 edition, 3.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.14% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.55% of all publications and 35.17% were from other institutions.
Returning Authors Index
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
Research.com
Returning Institution Index
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Research.com
The experience to innovation index
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).
Research.com
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
