Submission Deadline: Monday 15 Nov 2021
Conference Dates: May 22, 2022 - May 27, 2022
The conference generally zeroes in on subjects such as Artificial intelligence, Natural language processing, Task (project management), Machine learning and Word (computer architecture). The event dives deep in exploring the relationship between the study of Artificial intelligence and Speech recognition. It focuses on Natural language processing but the discussions also offer insight into other areas such as Context (language use), SemEval and Information retrieval.
The Task (project management) study tackled is a key component of adjacent topics in the area of Domain (software engineering). Some problems in Machine translation that were presented in the event overlapped with concepts under Translation (geometry) and Phrase. The work on Parsing addressed in the event expands to the thematically related Grammar.
Artificial intelligence, Natural language processing, Task (project management), Machine learning and Parsing are the main subjects of interest in the conference publications. Most of the works presented in the conference articles deal with Artificial intelligence but they intersect with the subject of Speech recognition. Issues in Natural language processing were discussed in the most cited publications, taking into consideration concepts from other disciplines like Context (language use) and Information retrieval.
The conference mainly deals with areas of study such as Artificial intelligence, Natural language processing, Task (project management), Language model and Machine learning. The Artificial intelligence study featured in it draws parallels with the field of Context (language use). The Natural language processing study featured in the conference draws connections with the study of Domain (software engineering).
While Task (project management) is the focus of the event, it also provided insights into the studies of F1 score, Information retrieval and Test set. Most of the Machine learning studies addressed also intersect with Robustness (computer science). Most of the works presented in Meeting of the Association for Computational Linguistics deals with Machine translation but it intersects with the subject of Translation (geometry).
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.
The top authors publishing at Meeting of the Association for Computational Linguistics (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing at Meeting of the Association for Computational Linguistics (based on the number of publications) are:
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.
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.
During the most recent 2021 edition, 6.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.78% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.10% of all publications and 40.00% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
May 22, 2022 - May 27, 2022
ACL 2022: 60th Annual Meeting of the Association for Computational Linguistics
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