Overview of the Epigenetics and Post-translational Modifications (EPI) task of BioNLP Shared Task 2011

نویسندگان

  • Tomoko Ohta
  • Sampo Pyysalo
  • Jun'ichi Tsujii
چکیده

This paper presents the preparation, resources, results and analysis of the Epigenetics and Post-translational Modifications (EPI) task, a main task of the BioNLP Shared Task 2011. The task concerns the extraction of detailed representations of 14 protein and DNA modification events, the catalysis of these reactions, and the identification of instances of negated or speculatively stated event instances. Seven teams submitted final results to the EPI task in the shared task, with the highest-performing system achieving 53% F-score in the full task and 69% F-score in the extraction of a simplified set of core event arguments.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

From Graphs to Events: A Subgraph Matching Approach for Information Extraction from Biomedical Text

We participated in the BioNLP Shared Task 2011, addressing the GENIA event extraction (GE) and the Epigenetics and Post-translational Modifications (EPI) tasks. A graph-based approach is employed to automatically learn rules for detecting biological events in the life-science literature. The event rules are learned by identifying the key contextual dependencies from full syntactic parsing of an...

متن کامل

PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations

Recent efforts in biomolecular event extraction have mainly focused on core event types involving genes and proteins, such as gene expression, protein-protein interactions, and protein catabolism. The BioNLP’11 Shared Task extended the event extraction approach to sub-protein events and relations in the Epigenetics and Post-translational Modifications (EPI) and Protein Relations (REL) tasks. In...

متن کامل

Event Extraction for Post-Translational Modifications

We consider the task of automatically extracting post-translational modification events from biomedical scientific publications. Building on the success of event extraction for phosphorylation events in the BioNLP’09 shared task, we extend the event annotation approach to four major new post-transitional modification event types. We present a new targeted corpus of 157 PubMed abstracts annotate...

متن کامل

Model Combination for Event Extraction in BioNLP 2011

We describe the FAUST entry to the BioNLP 2011 shared task on biomolecular event extraction. The FAUST system explores several stacking models for combination using as base models the UMass dual decomposition (Riedel and McCallum, 2011) and Stanford event parsing (McClosky et al., 2011b) approaches. We show that using stacking is a straightforward way to improving performance for event extracti...

متن کامل

Event Extraction as Dependency Parsing for BioNLP 2011

We describe the Stanford entry to the BioNLP 2011 shared task on biomolecular event extraction (Kim et al., 2011a). Our framework is based on the observation that event structures bear a close relation to dependency graphs. We show that if biomolecular events are cast as these pseudosyntactic structures, standard parsing tools (maximum-spanning tree parsers and parse rerankers) can be applied t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011