World's Best Scientists 2026 revealed!
ACL

The 17th Workshop on Innovative Use of NLP for Building Educational Applications (UNLPBEA)

Location: Seattle , United States

Submission deadline: 4/8/2022

Conference dates: 7/15/2022 - 7/15/2022

Research H-index
12

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 290 32 42 12

Call for Papers

We will solicit papers that incorporate NLP methods, including, but not limited to:

automated scoring of open-ended textual and spoken responses;
automated scoring/evaluation for written student responses (across multiple genres);
game-based instruction and assessment;
educational data mining;
intelligent tutoring;
collaborative learning environments;
peer review;
grammatical error detection and correction;
learner cognition;
spoken dialog;
multimodal applications;
annotation standards and schemas;
tools and applications for classroom teachers, learners and/or test developers; and
use of corpora in educational tools.

Overview

This comprehensive ranking presents the leading scientific conferences in the field of Computer Science, offering invaluable insights for researchers, academics, and professionals seeking authoritative venues for disseminating and discovering cutting-edge research. This ranking has been meticulously prepared by Research.com, a preeminent platform renowned for providing reliable and trusted data on scientific contributions since 2014 across all major disciplines, including Computer Science.

Conference positions within this ranking are determined by a unique bibliometric score specifically developed by Research.com. This score integrates the estimated h-index as well as the number of distinguished scientists who have participated in each conference during the past three years. This multifaceted approach ensures a reflective, data-driven evaluation of each conference’s scholarly influence and scientific excellence.

The 2024 edition of the ranking features Impact Score values collected on 2024-11-27. The methodology behind the ranking entailed a rigorous and detailed examination of more than 2,742 conferences, selected after an exhaustive review process involving over 148,739 scientific documents published over the last three years. These publications represent the work of 13,184 leading and highly respected scientists in Computer Science, underscoring the depth and breadth of scholarship informing the analysis.

To ensure the highest standards of accuracy and credibility, Research.com’s expert team applied sophisticated analytical techniques and stringent criteria during every stage of the ranking process. This rigorous methodology guarantees that the resulting list represents a reliable and credible benchmark for evaluating scientific conferences in the Computer Science domain.

Further details regarding the methodology for computing the ranking scores, including comprehensive explanations of the metrics and processes employed, can be found on our Methodology Page.

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.

The top authors publishing at Workshop on Innovative Use of NLP for Building Educational Applications (based on the number of publications) are:

  • Joel Tetreault (15 papers) absent at the last edition,
  • Detmar Meurers (13 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Nitin Madnani (13 papers) absent at the last edition,
  • Aoife Cahill (13 papers) absent at the last edition,
  • Jill Burstein (13 papers) absent at the last 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at Workshop on Innovative Use of NLP for Building Educational Applications (based on the number of publications) are:

  • Princeton University (42 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • University of Cambridge (30 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Carnegie Mellon University (16 papers) absent at the last edition,
  • University of Pittsburgh (16 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University of Tübingen (15 papers) published 1 paper at the last edition the same number as 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.

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.

During the most recent 2021 edition, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 30.00% 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.

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.

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).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional computer science, pursuing specialized degrees can open new doors. Programs like analytics masters programs offer advanced training in interpreting and managing complex data, a skill highly sought after across industries.

For professionals aiming to reach the pinnacle of research and innovation, a phd in data science online provides a flexible path to contribute to cutting-edge developments in algorithms, machine learning, and artificial intelligence.

Intersecting biology and data, a bioinformatics degree jobs can lead to careers in healthcare, pharmaceuticals, and genetics, emphasizing the analytical side of life sciences.

Additionally, those interested in healthcare technology might explore what medical degrees can i get online to understand medical fields accessible through online learning. This knowledge can complement computer science skills in fields like health informatics and telemedicine.

Best Scientists who published in this Conference

Related Articles