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ACL

International Conference on Parsing Technologies (IWPT)

Location: Bangkok , Thailand

Submission deadline: 5/6/2021

Conference dates: 8/6/2021 - 8/6/2021

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 634 10 9 6

Call for Papers

IWPT addresses all aspects of structural analysis of natural language, including but not limited to:

Parsing of natural language (phonological, morphological, syntactic, semantic, discourse, etc.)
Formal models and algorithms for recognition, parsing and transduction
Machine learning techniques for syntax and parsing
Complexity of languages, models and algorithms
Learning of recursive structure (linguistic/latent)
Parsing in machine translation (synchronous parsing; alignment by parsing; translation by parsing, etc.)
Cognitive models of language processing
Multilingual and multimodal perspectives on syntax and parsing
Domain and genre adaptation, portability and robustness of parsing systems
Practical applications of parsing technology
Parser evaluation (across languages and frameworks)
Neural network models for linguistic structure prediction
Combining distributional and symbolic signals for linguistic structure prediction
Syntactic typology for multilingual modeling
Parsing low-resource languages and cross-lingual or domain transfer
Interpretation of linguistic structure in deep learning models
Integration of morphology via character-based models, subword embeddings, and beyond

Overview

This comprehensive ranking features scientific conferences from the field of Computer Science, crafted to provide the academic community with a trusted and authoritative resource for evaluating leading venues in the discipline. Developed by Research.com—an established leader in the science research domain since 2014 and a provider of reliable data on academic contributions across all major fields—this ranking stands out for its rigor and integrity.

Each conference’s position within the ranking is determined by a unique bibliometric score, a metric specifically designed by Research.com. This score is calculated based on the estimated h-index and the number of prominent scientists who have contributed to the conference over the three most recent years. The Impact Score values presented here have been meticulously gathered as of 2024-11-27, ensuring the ranking reflects the most up-to-date and relevant data available.

The process underlying this ranking involved the exhaustive review and analysis of more than 2,742 scientific conferences. This selection was made following a thorough evaluation of over 148,739 scientific documents published during the past three years, authored by 13,184 distinguished and recognized scientists in the field of Computer Science. Such an expansive and detailed approach was undertaken by experts to guarantee the accuracy, credibility, and relevance of the resulting rankings for the academic and research communities.

For those interested in a more in-depth understanding of how the ranking scores were computed, additional information is available 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 International Workshop/Conference on Parsing Technologies (based on the number of publications) are:

  • Rebecca Dridan (3 papers) absent at the last edition,
  • Mark-Jan Nederhof (3 papers) absent at the last edition,
  • Stephan Oepen (3 papers) absent at the last edition,
  • Yusuke Miyao (2 papers) published 1 paper at the last edition,
  • Tejaswini Deoskar (2 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 International Workshop/Conference on Parsing Technologies (based on the number of publications) are:

  • University of Oslo (5 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Stuttgart (4 papers) published 2 papers at the last edition,
  • University of St Andrews (3 papers) absent at the last edition,
  • University of Edinburgh (3 papers) absent at the last edition,
  • Kyoto University (3 papers) published 2 papers at the last edition, 1 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.

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 2015 edition, 6.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 57.14% were posted by at least one author from the top 10 institutions publishing at the conference. Another 35.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.14% of all publications and 0.00% 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.

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