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Found 35 papers, 10 papers with code
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
Specifically, we train the supernet with a large sharing extent (an easier curriculum) at the beginning and gradually decrease the sharing extent of the supernet (a harder curriculum).
A Boundary-aware Neural Model for Nested Named Entity Recognition
We propose a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categorical labels.
Ranked #11 on
Named Entity Recognition (NER)
on GENIA
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging
This paper is the first to propose jointly performing MNER and MRE as a joint multimodal entity-relation extraction task (JMERE).
Controllable Abstractive Sentence Summarization with Guiding Entities
Entities are the major proportion and build up the topic of text summaries.
Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline
To this end, we present a Chinese sticker-based multimodal dataset for the sentiment analysis task (CSMSA).
Scene-Text Oriented Reffering Expression Comprehension
Abstract—Referring expression comprehension (REC) aims to identify and locate a specific object in visual scenes referred to by a natural language expression.
Power of Explanations: Towards automatic debiasing in hate speech detection
Hate speech detection is a common downstream application of natural language processing (NLP) in the real world.
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation
Latent Dirichlet Allocation (LDA) and its variants have been widely used to discover latent topics in textual documents.
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks
Aspect-level sentiment classification, which is a fine-grained sentiment analysis task, has received lots of attention these years.
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
Visual question answering aims to answer the natural language question about a given image.
Task-oriented Domain-specific Meta-Embedding for Text Classification
Meta-embedding learning, which combines complementary information in different word embeddings, have shown superior performances across different Natural Language Processing tasks.
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs
Compute-in-memory (CiM) is a promising approach to alleviating the memory wall problem for domain-specific applications.
Emerging Technologies
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
It provides high scalability because the paths within an EIO network exponentially increase with the network depth.
TSDG: Content-aware Neural Response Generation with Two-stage Decoding Process
Neural response generative models have achieved remarkable progress in recent years but tend to yield irrelevant and uninformative responses.
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification
Relation Classification (RC) plays an important role in natural language processing (NLP).
Fast Extraction of Word Embedding from Q-contexts
In this work, we show that with merely a small fraction of contexts (Q-contexts)which are typical in the whole corpus (and their mutual information with words), one can construct high-quality word embedding with negligible errors.
XPROAX-Local explanations for text classification with progressive neighborhood approximation
The importance of the neighborhood for training a local surrogate model to approximate the local decision boundary of a black box classifier has been already highlighted in the literature.
ChicHealth @ MEDIQA 2021: Exploring the limits of pre-trained seq2seq models for medical summarization
In this article, we will describe our system for MEDIQA2021 shared tasks.
Learning Large-scale Network Embedding from Representative Subgraph
Then, NES computes the network embedding from this representative subgraph, efficiently.
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information
Time is an important aspect of documents and is used in a range of NLP and IR tasks.
Mitigating Contradictions in Dialogue Based on Contrastive Learning
Chatbot models have achieved remarkable progress in recent years but tend to yield contradictory responses.
Knowledge Graph Quality Evaluation under Incomplete Information
Winner of the game is thus considered to have better qualities.
Disco Intelligent Reflecting Surfaces: Active Channel Aging for Fully-Passive Jamming Attacks
A theoretical analysis of the proposed DIRS-based FPJ that provides an evaluation of the DIRS-based jamming attacks is derived.
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps
One possible reason is that current studies mainly focus on constructing the plane-level geometric relationship of scene text without depth information.
Explaining text classifiers through progressive neighborhood approximation with realistic samples
The importance of neighborhood construction in local explanation methods has been already highlighted in the literature.
An Adversarial Non-Autoregressive Model for Text Generation with Incomplete Information
Non-autoregressive models have been widely studied in the Complete Information Scenario (CIS), in which the input has complete information of corresponding output.
An Anti-Jamming Strategy for Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks
Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, while also pose a huge risk for physical layer security.
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Attribution methods shed light on the explainability of data-driven approaches such as deep learning models by revealing the most contributing features to decisions that have been made.
Anti-Jamming Precoding Against Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks
Numerical results are also presented to evaluate the effectiveness of the proposed anti-jamming precoder against the DIRS-based FPJs and the feasibility of the designed data frame used by the legitimate AP to estimate the statistical characteristics.
DISCO Might Not Be Funky: Random Intelligent Reflective Surface Configurations That Attack
Moreover, we outline future research directions and challenges for the DIRS-based FPJ and its anti-jamming precoding to stimulate this line of research and pave the way for practical applications.
Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation
Moreover, our study identifies weaknesses in existing models' ability to repair vulnerable code, even when provided with vulnerability information.
Graph neural topic model with commonsense knowledge
In this paper, we use the commonsense relationship between words as a bridge to connect the words in each document.
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
LMPM incorporates an external memory structure to learn and store the latent representations of logical patterns, which aids in generating logically consistent conclusions.
Integrated Sensing and Communication Under DISCO Physical-Layer Jamming Attacks
Moreover, a theoretical analysis is conducted to quantify the impact of DISCO jamming attacks.
