The First Workshop on Matching: Introduction, Scope, and Highlights
The goal of this workshop is to bring together the research communities from academia and industries related to these areas. These stakeholders are already interested in the development and the application of novel approaches/models/systems to address challenges around different matching tasks. While the workshop is intended to bring contributions to a wide range of topics, we will now discuss a few example research problems that might be of interest to the workshop audience.
MEGAnno: Exploratory Labeling for NLP in Jupyter Notebooks
In this blog post, we present MEGAnno, our flexible, exploratory, efficient, and seamless labeling framework for NLP researchers and practitioners. In short, MEGAnno aims to reduce costs while improving the quality of labeling.
Highlights of 2022 at Megagon Labs
2022 was a very productive year for our research team to bring forth many ideas to fruition as published papers in top conferences and workshops in the fields of natural language processing, machine learning, data Management, and human-computer interaction.
Summarizing Community-based Question-Answer Pairs
Megagon Labs researchers proposed a new CQA Summarization task focused on summarizing QA pairs in Community-based Question Answering. In addition, we developed a multi-stage annotation framework and created a benchmark CoQASum for the CQA Summarization task.
Hybrid Active Learning for Low-Resource LM Fine-tuning
We identified two key designs that can improve the effectiveness and efficiency of sample acquisition: random sampling reduces the unlabeled pool being considered for acquisition, and decouples the diversity and uncertainty objectives in hybrid acquisition. Based on an investigation of existing methods, we propose a novel active learning method: TYROGUE.
Paraphrase Generation for Long Text
In this blog post, we will define the problem of paraphrasing. We will explain the challenges of document-level paraphrasing, especially in the business domain. These challenges include evaluation. Following this, we will briefly describe the results of the survey study, and identify key ideas.
ACM SIGKDD 2022 Conference Highlight
The ACM SIGKDD conference is the premier forum for the advancement, education, and adoption of computer science, specifically for knowledge discovery and data mining. Get an inside view of what happened at this year’s conference.
JGLUE Hands-on: An outline of the performance evaluation procedure of the Transformers model using JGLUE
This article explains how to evaluate the models of hugginface/transformers systems using JGLUE, and evaluates the ELECTRA model used in GiNZA* by JGLUE.
NAACL 2022 Highlights
NAACL is a key conference for our research work, as such 6 of our researchers attended the event and Megagon Labs was a Platinum level sponsor of the event. To share with you what we gathered from the conference, below we summarize papers, workshops, invited talks, and other conference events. We found the topics both interesting and relevant to the ongoing research at Megagon Labs.
Megagon Labs Summer 2022 Internship Experience
Summer 2022 interns worked on projects related to HCI, NLP, knowledge graphs, and data lakes.
