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01/29/2023
Unifying Molecular and Textual Representations via Multi-task Language Modelling
The recent advances in neural language models have also been successfull...
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01/20/2023
Domain-agnostic and Multi-level Evaluation of Generative Models
While the capabilities of generative models heavily improved in differen...
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08/15/2022
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection
Intent discovery is a fundamental task in NLP, and it is increasingly re...
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07/08/2022
GT4SD: Generative Toolkit for Scientific Discovery
With the growing availability of data within various scientific domains,...
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02/01/2022
Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens
We report the Regression Transformer (RT), a method that abstracts regre...
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10/15/2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Large language models have recently been shown to attain reasonable zero...
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12/18/2020
Understood in Translation, Transformers for Domain Understanding
Knowledge acquisition is the essential first step of any Knowledge Graph...
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12/05/2020
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
Less than 1 annotated. Natural Language Processing (NLP) community has r...
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09/23/2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Sequence labelling tasks like Dialog Act and Emotion/Sentiment identific...
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05/27/2020
PaccMann^RL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
With the fast development of COVID-19 into a global pandemic, scientists...
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05/27/2020
Targeted design of antiviral compounds against SARS-CoV-2 with conditional generative models
With the fast development of COVID-19 into a global pandemic, scientists...
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02/21/2020
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
The task of predicting dialog acts (DA) based on conversational dialog i...
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02/20/2020
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
The task of predicting dialog acts (DA) based on conversational dialog i...
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07/19/2019
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Information extraction and data mining in biochemical literature is a da...
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04/25/2019
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
In line with recent advances in neural drug design and sensitivity predi...
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01/17/2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Application of neural networks to a vast variety of practical applicatio...
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11/16/2018
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
We present a novel approach for the prediction of anticancer compound se...
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08/18/2018
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer
We present the Network-based Biased Tree Ensembles (NetBiTE) method for ...
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03/29/2018