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Found 8 papers, 1 papers with code
IBM MNLP IE at CASE 2021 Task 1: Multigranular and Multilingual Event Detection on Protest News
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.
IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification
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.
Distilling Event Sequence Knowledge From Large Language Models
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.
An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph
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.
Leveraging Medical Literature for Section Prediction in Electronic Health Records
We propose using sections from medical literature (e. g., textbooks, journals, web content) that contain content similar to that found in EHR sections.
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification
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.
Dynamic Visual Analytics for Elicitation Meetings with ELICA
Requirements elicitation can be very challenging in projects that require deep domain knowledge about the system at hand.
Stacking With Auxiliary Features for Entity Linking in the Medical Domain
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.
