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We introduce the brat rapid annotation tool (BRAT), an intuitive web-based tool for text annotation supported by Natural Language Processing (NLP) technology. BRAT has been developed for rich structured annotation for a variety of NLP tasks and aims to support manual curation efforts and increase annotator productivity using NLP techniques. We discuss… (More)

- Pontus Stenetorp, Goran Topic, Sampo Pyysalo, Tomoko Ohta, Jin-Dong Kim, Jun'ichi Tsujii
- BioNLP@ACL
- 2011

This paper describes the supporting resources provided for the BioNLP Shared Task 2011. These resources were constructed with the goal to alleviate some of the burden of system development from the participants and allow them to focus on the novel aspects of constructing their event extraction systems. With the availability of these resources we also seek… (More)

- Richard Zanibbi, Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Goran Topic, Kenny Davila
- NTCIR
- 2016

We present an overview of the NTCIR-12 MathIR Task, dedicated to information access for mathematical content. The MathIR task makes use of two corpora. The first corpus contains excerpts from technical articles in the arXiv, while the second corpus contains English Wikipedia articles. For each corpus, there were two subtasks. Three subtasks contain queries… (More)

- Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa
- D-Lib Magazine
- 2014

Mathematical content is a valuable information source and retrieving this content has become an important issue. This paper compares two searching strategies for math expressions: presentation-based and content-based approaches. Presentation-based search uses state-ofthe-art math search system while content-based search uses semantic enrichment of math… (More)

- Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa
- NTCIR
- 2016

This paper describes the participation of our MCAT search system in the NTCIR-12 MathIR Task. We introduce three granularity levels of textual information, new approach for generating dependency graph of math expressions, score normalization, cold-start weights, and unification. We find that these modules, except the cold-start weights, have a very good… (More)

NTCIR Math Track targets mathematical content access based on both natural language text and mathematical formulae. This research describes the participation of MCAT group in the NTCIR math retrieval subtask and math understanding subtask. We introduce our mathematical search system that is capable of formula search, and full-text search. We also introduce… (More)

- Giovanni Yoko Kristianto, Goran Topic, Florence Ho, Akiko Aizawa
- NTCIR
- 2014

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- Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa
- Ninth International Conference on Digital…
- 2014

Mathematical expressions are important for communication of scientific information, for instance, to explain or define concepts written in natural language. Despite their importance, current conventional search systems can not establish access to the mathematical expressions contained in a scientific paper. The major focus of current development of… (More)