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05/19/2023
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing
Reaction diagram parsing is the task of extracting reaction schemes from...
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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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05/28/2022
Robust Molecular Image Recognition: A Graph Generation Approach
Molecular image recognition is a fundamental task in information extract...
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09/27/2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
The few-shot natural language understanding (NLU) task has attracted muc...
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03/18/2021
GPT Understands, Too
While GPTs with traditional fine-tuning fail to achieve strong results o...
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03/18/2021
All NLP Tasks Are Generation Tasks: A General Pretraining Framework
There have been various types of pretraining architectures including aut...
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10/31/2018
GraphIE: A Graph-Based Framework for Information Extraction
Most modern Information Extraction (IE) systems are implemented as seque...
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02/23/2017
A Probabilistic Framework for Location Inference from Social Media
We study the extent to which we can infer users' geographical locations ...
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11/14/2016
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction
Measuring research impact and ranking academic achievement are important...
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11/14/2016