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09/19/2023
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval
Open-domain table question answering aims to provide answers to a questi...
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04/11/2023
FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training
Fashion vision-language pre-training models have shown efficacy for a wi...
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03/09/2023
Replacement as a Self-supervision for Fine-grained Vision-language Pre-training
Fine-grained supervision based on object annotations has been widely use...
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02/23/2023
A Neural Span-Based Continual Named Entity Recognition Model
Named Entity Recognition (NER) models capable of Continual Learning (CL)...
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12/03/2022
iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models
Motivation: Enhancers are important cis-regulatory elements that regulat...
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11/20/2022
SeDR: Segment Representation Learning for Long Documents Dense Retrieval
Recently, Dense Retrieval (DR) has become a promising solution to docume...
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11/06/2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Calibration strengthens the trustworthiness of black-box models by produ...
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11/06/2022
Prompt-based Text Entailment for Low-Resource Named Entity Recognition
Pre-trained Language Models (PLMs) have been applied in NLP tasks and ac...
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07/12/2022
A Survey on Table Question Answering: Recent Advances
Table Question Answering (Table QA) refers to providing precise answers ...
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12/20/2021
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Automatic diagnosis has attracted increasing attention but remains chall...
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12/20/2021
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Recent works have shown explainability and robustness are two crucial in...
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10/20/2021
VLDeformer: Vision-Language Decomposed Transformer for Fast Cross-Modal Retrieval
Cross-model retrieval has emerged as one of the most important upgrades ...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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06/08/2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
Graph convolutional network (GCN) has become popular in various natural ...
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03/27/2021
You Can Do Better! If You Elaborate the Reason When Making Prediction
Neural predictive models have achieved groundbreaking performance improv...
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12/22/2020
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews
We address the task of automatically scoring the competency of candidate...
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04/16/2020
Neural Data-to-Text Generation with Dynamic Content Planning
Neural data-to-text generation models have achieved significant advancem...
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04/07/2020
Neural Image Inpainting Guided with Descriptive Text
Neural image inpainting has achieved promising performance in generating...
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12/01/2019
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
Integrating visual features has been proved useful in language represent...
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05/18/2019
BERTSel: Answer Selection with Pre-trained Models
Recently, pre-trained models have been the dominant paradigm in natural ...
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04/19/2017
CNN based music emotion classification
Music emotion recognition (MER) is usually regarded as a multi-label tag...
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10/13/2016
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition
In this paper, we propose a novel model, named Stroke Sequence-dependent...
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06/22/2015
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
In this paper, the answer selection problem in community question answer...
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06/19/2015
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Automatic text summarization is widely regarded as the highly difficult ...
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03/11/2015
