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07/10/2023
KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization
In this paper, we introduce CheXOFA, a new pre-trained vision-language m...
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05/24/2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Intent classification (IC) plays an important role in task-oriented dial...
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05/25/2022
Refining Query Representations for Dense Retrieval at Test Time
Dense retrieval uses a contrastive learning framework to learn dense rep...
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01/06/2022
BERN2: an advanced neural biomedical named entity recognition and normalization tool
In biomedical natural language processing, named entity recognition (NER...
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11/20/2021
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles
This paper is a technical report on our system submitted to the chemical...
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09/15/2021
Can Language Models be Biomedical Knowledge Bases?
Pre-trained language models (LMs) have become ubiquitous in solving vari...
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12/23/2020
Learning Dense Representations of Phrases at Scale
Open-domain question answering can be reformulated as a phrase retrieval...
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09/26/2020
Can pandemics transform scientific novelty? Evidence from COVID-19
Scientific novelty is important during the pandemic due to its critical ...
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07/01/2020
Transferability of Natural Language Inference to Biomedical Question Answering
Biomedical question answering (QA) is a challenging problem due to the s...
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06/29/2020
Answering Questions on COVID-19 in Real-Time
The recent outbreak of the novel coronavirus is wreaking havoc on the wo...
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05/01/2020
Biomedical Entity Representations with Synonym Marginalization
Biomedical named entities often play important roles in many biomedical ...
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04/29/2020