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04/04/2023
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Multi-vector retrieval models such as ColBERT [Khattab and Zaharia, 2020...
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11/02/2022
Multi-Vector Retrieval as Sparse Alignment
Multi-vector retrieval models improve over single-vector dual encoders o...
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10/25/2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval
Building dense retrievers requires a series of standard procedures, incl...
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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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12/16/2021
Simple Questions Generate Named Entity Recognition Datasets
Named entity recognition (NER) is a task of extracting named entities of...
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09/17/2021
Simple Entity-Centric Questions Challenge Dense Retrievers
Open-domain question answering has exploded in popularity recently due t...
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09/16/2021
Phrase Retrieval Learns Passage Retrieval, Too
Dense retrieval methods have shown great promise over sparse retrieval m...
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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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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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04/30/2020
Look at the First Sentence: Position Bias in Question Answering
Many extractive question answering models are trained to predict start a...
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04/29/2020
Adversarial Subword Regularization for Robust Neural Machine Translation
Exposing diverse subword segmentations to neural machine translation (NM...
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11/07/2019
Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
A sparse representation is known to be an effective means to encode prec...
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09/18/2019
Pre-trained Language Model for Biomedical Question Answering
The recent success of question answering systems is largely attributed t...
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06/13/2019
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Existing open-domain question answering (QA) models are not suitable for...
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01/25/2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Biomedical text mining is becoming increasingly important as the number ...
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01/25/2019
BioBERT: pre-trained biomedical language representation model for biomedical text mining
Biomedical text mining has become more important than ever as the number...
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11/09/2018
Typeface Completion with Generative Adversarial Networks
The mood of a text and the intention of the writer can be reflected in t...
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10/01/2018
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
Recently, open-domain question answering (QA) has been combined with mac...
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09/21/2018
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
Background: Finding biomedical named entities is one of the most essenti...
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09/05/2018