no code implementations • ACL (CASE) 2021 • Parul Awasthy, Jian Ni, Ken Barker, Radu Florian
In this paper, we present the event detection models and systems we have developed for Multilingual Protest News Detection - Shared Task 1 at CASE 2021.
no code implementations • ACL (CASE) 2021 • Ken Barker, Parul Awasthy, Jian Ni, Radu Florian
The NLI reranker uses a textual representation of target types that allows it to score the strength with which a type is implied by a text, without requiring training data for the types.
no code implementations • 14 Jan 2024 • Somin Wadhwa, Oktie Hassanzadeh, Debarun Bhattacharjya, Ken Barker, Jian Ni
In this work, we explore the use of Large Language Models (LLMs) to generate event sequences that can effectively be used for probabilistic event model construction.
1 code implementation • 4 Dec 2023 • Steve Fonin Mbouadeu, Martin Lorenzo, Ken Barker, Oktie Hassanzadeh
In this paper, we present a methodology for creating a benchmark dataset of news headlines mapped to event classes in Wikidata, and resources for the evaluation of methods that perform the mapping.
no code implementations • IJCNLP 2019 • Sara Rosenthal, Ken Barker, Zhicheng Liang
We propose using sections from medical literature (e. g., textbooks, journals, web content) that contain content similar to that found in EHR sections.
no code implementations • IJCNLP 2019 • Oren Melamud, Mihaela Bornea, Ken Barker
In this work, we combine these two approaches to improve low-shot text classification with two novel methods: a simple bag-of-words embedding approach; and a more complex context-aware method, based on the BERT model.
no code implementations • 10 Jul 2018 • Zahra Shakeri Hossein Abad, Munib Rahman, Abdullah Cheema, Vincenzo Gervasi, Didar Zowghi, Ken Barker
Requirements elicitation can be very challenging in projects that require deep domain knowledge about the system at hand.
no code implementations • WS 2017 • Nazneen Fatema Rajani, Mihaela Bornea, Ken Barker
In the medical domain, it is common to link text spans to medical concepts in large, curated knowledge repositories such as the Unified Medical Language System.