Question 1

Who are the top researchers at Open Text (Canada)?

Accepted Answer

Ranked on the quality score, Tim Bray lead among researchers whose main affiliation is Open Text (Canada).

Question 2

What are the most cited papers from Open Text (Canada)?

Accepted Answer

The most cited paper from Open Text (Canada) is "Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network" (Sunil Kumar Sahu, Christopoulou, Efstathia, Makoto Miwa et al., 2019), with 251 citations. Next come "Measuring the Web" (198) and "Automatic feedback using past queries" (148).

Question 3

Which research topics does Open Text (Canada) publish most on?

Accepted Answer

By volume in 2022-now: Topic Modeling, Text Readability and Simplification, Natural Language Processing Techniques and Network Security and Intrusion Detection.

Question 4

Which keywords describe research at Open Text (Canada)?

Accepted Answer

By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Information Retrieval, Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Data Integration, Semantic Web and Machine Learning.

Question 5

Which fields of science does Open Text (Canada) work in?

Accepted Answer

In all years, 74% of research at Open Text (Canada) is in Physical Sciences, 16% in Social Sciences. Its largest fields are Computer Science (56%), Engineering (10%), Biochemistry, Genetics and Molecular Biology (8%). It does 1.8× the world's share of Physical Sciences.

Question 6

Is Open Text (Canada)'s research output growing?

Accepted Answer

Output in 2022-2025 was 15% lower than in 2018-2021.

Discussion