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06/28/2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
In recent years, Transformer-based language models have become the stand...
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10/31/2022
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM
Limited computational budgets often prevent transformers from being used...
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10/18/2022
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
The extraction of aspect terms is a critical step in fine-grained sentim...
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09/22/2022
Efficient Few-Shot Learning Without Prompts
Recent few-shot methods, such as parameter-efficient fine-tuning (PEFT) ...
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04/13/2022
TangoBERT: Reducing Inference Cost by using Cascaded Architecture
The remarkable success of large transformer-based models such as BERT, R...
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11/18/2021
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length
Limited computational budgets often prevent transformers from being used...
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11/10/2021
Prune Once for All: Sparse Pre-Trained Language Models
Transformer-based language models are applied to a wide range of applica...
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10/14/2019
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
Training models on low-resource named entity recognition tasks has been ...
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10/14/2019
Q8BERT: Quantized 8Bit BERT
Recently, pre-trained Transformer based language models such as BERT and...
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09/12/2019
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
We present ABSApp, a portable system for weakly-supervised aspect-based ...
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04/04/2019
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
In this paper, we present a novel algorithm that combines multi-context ...
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08/27/2018
Term Set Expansion based NLP Architect by Intel AI Lab
We present SetExpander, a corpus-based system for expanding a seed set o...
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07/26/2018
