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:12.60
Contributing Best Scientists:248
H5-index:
Papers published by Best Scientists336
Research Ranking (Computer Science)25
Research Ranking (Computer Science)17
Conference Call for Papers
Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):
Computational Social Science and Social Media
Dialogue and Interactive Systems
Discourse and Pragmatics
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
Overview
Top Research Topics at International Joint Conference on Natural Language Processing?
Artificial intelligence (76.44%)
Natural language processing (61.31%)
Task (project management) (15.18%)
International Joint Conference on Natural Language Processing investigates areas of study like Artificial intelligence, Natural language processing, Task (project management), Word (computer architecture) and Machine learning.
International Joint Conference on Natural Language Processing focuses on Artificial intelligence but the discussions also offer insight into other areas such as Speech recognition and Pattern recognition.
Topics in Natural language processing were tackled in line with various other fields like Context (language use), Translation (geometry) and Information retrieval.
The study on Parsing presented in the event intersects with subjects under the field of Dependency (UML).
It focuses on Machine translation research which is adjacent to topics in Rule-based machine translation.
What are the most cited papers published at the conference?
Distant supervision for relation extraction without labeled data (2161 citations)
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks (1678 citations)
Knowledge Graph Embedding via Dynamic Mapping Matrix (719 citations)
Research areas of the most cited articles at International Joint Conference on Natural Language Processing:
The most cited papers are mainly concerned with subjects like Artificial intelligence, Natural language processing, Parsing, Word (computer architecture) and Machine learning.
The published articles focus on Artificial intelligence but the discussions also offer insight into other areas such as Speech recognition, Task (project management) and Pattern recognition.
The featured Natural language processing studies in the conference articles mainly concentrate on Semantics but also cover areas of interest in Natural language.
What topics the last edition of the conference is best known for?
Artificial intelligence
Programming language
Statistics
The previous edition focused in particular on these issues:
Artificial intelligence, Natural language processing, Machine translation, Task (project management) and Language model are among the topics commonly tackled in International Joint Conference on Natural Language Processing.
The Artificial intelligence study featured in International Joint Conference on Natural Language Processing draws connections with the study of Named-entity recognition.
It is mostly focused on Natural language processing, specifically Sentence.
The work on Machine translation tackled in the event brings together disciplines like Transformer (machine learning model), Matrix (mathematics), Dependency (UML), Similarity (psychology) and Translation (geometry).
While Task (project management) is the focus of International Joint Conference on Natural Language Processing, it also provided insights into the studies of Annotation, Information retrieval, Automatic summarization, Computational model and Event (computing).
The studies on Language model discussed can also contribute to research in the domains of Chinese word, Theoretical computer science, Affect (linguistics), Embedding and Encoder.
The most cited articles from the last conference are:
Personal Bias in Prediction of Emotions Elicited by Textual Opinions (2 citations)
Long Document Summarization in a Low Resource Setting using Pretrained Language Models (2 citations)
Event-Centric Natural Language Processing (1 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 International Joint Conference on Natural Language Processing (based on the number of publications) are:
Pushpak Bhattacharyya (19 papers) absent at the last edition,
Yuji Matsumoto (18 papers) absent at the last edition,
Sadao Kurohashi (16 papers) published 1 paper at the last edition,
Kevin Duh (13 papers) absent at the last edition,
Mamoru Komachi (13 papers) published 1 paper at the last edition, 2 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 International Joint Conference on Natural Language Processing (based on the number of publications) are:
Microsoft (53 papers) absent at the last edition,
Carnegie Mellon University (52 papers) published 1 paper at the last edition, 1 less than at the previous edition,
Chinese Academy of Sciences (45 papers) published 1 paper at the last edition, 1 less than at the previous edition,
IBM (34 papers) published 1 paper at the last edition the same number as at the previous edition,
Harbin Institute of Technology (34 papers) absent at the last 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, 13.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.82% were posted by at least one author from the top 10 institutions publishing at the conference. Another 17.95% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.82% of all publications and 56.41% 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.
