7.5k citations · 8.9k across the 37 of their papers we have counts for
6 papers · 1 filter
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
Wonjin Yoon, Richard Jackson, Elliot Ford +2
In order to assist the drug discovery/development process, pharmaceutical companies often apply biomedical NER and linking techniques over internal and public corpora. Decades of s…
Enhancing Label Consistency on Document-level Named Entity Recognition
Minbyul Jeong, Jaewoo Kang
Named entity recognition (NER) is a fundamental part of extracting information from documents in biomedical applications. A notable advantage of NER is its consistency in extractin…
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer
Mogan Gim, Donghee Choi, Kana Maruyama +4
We propose a computational approach for recipe ideation, a downstream task that helps users select and gather ingredients for creating dishes. To perform this task, we developed Re…
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations
Hyunjae Kim, Jaehyo Yoo, Seunghyun Yoon +1
Most weakly supervised named entity recognition (NER) models rely on domain-specific dictionaries provided by experts. This approach is infeasible in many domains where dictionarie…
Optimizing Test-Time Query Representations for Dense Retrieval
Mujeen Sung, Jungsoo Park, Jaewoo Kang +2
Recent developments of dense retrieval rely on quality representations of queries and contexts from pre-trained query and context encoders. In this paper, we introduce TOUR (Test-T…
Generating Information-Seeking Conversations from Unlabeled Documents
Gangwoo Kim, Sungdong Kim, Kang Min Yoo +1
In this paper, we introduce a novel framework, SIMSEEK, (Simulating information-Seeking conversation from unlabeled documents), and compare its two variants. In our baseline SIMSEE…