最近整理了下AAAI2021 NLP論文各個(gè)細(xì)方向的接收列表！應(yīng)該還有幾篇漏網(wǎng)之魚，之后發(fā)現(xiàn)了補(bǔ)上~ AAAI2021接收論文PDF查看地址如下： https://aaai.org/Conferences/AAAI-21/wp-content/uploads/2020/12/AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf

NLP細(xì)方向論文列表

情感分析

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

An Adaptive Hybrid Framework for Cross-Domain Aspect-Based Sentiment Analysis

Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based Sentiment Analysis and Sequential Metaphor Identification

Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis

A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis

Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis

Segmentation of Tweets with URLs and its Applications to Sentiment Analysis

A Neural Group-Wise Sentiment Analysis Model with Data Sparsity Awareness

句法分析

Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs

Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees

命名實(shí)體識(shí)別

Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance

CrossNER: Evaluating Cross-Domain Named Entity Recognition

A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition

Nested Named Entity Recognition with Partially-Observed TreeCRFs

Continual Learning for Named Entity Recognition

Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model

MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization

人機(jī)對(duì)話/問(wèn)答

Reinforced History Backtracking for Conversational Question Answering

Quantum-Inspired Neural Network for Conversational Emotion Recognition

DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks

NaturalConv: A Chinese Dialogue Dataset Towards Multi-Turn Topic-Driven Conversation

Conversational Neuro-Symbolic Commonsense Reasoning

Keyword-Guided Neural Conversational Model

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations

Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question Answering

Reinforced History Backtracking for Conversational Question Answering

What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering

Regularizing Attention Networks for Anomaly Detection in Visual Question Answering50

TSQA: Tabular Scenario Based Question Answering

Unanswerable Question Correction in Question Answering over Personal Knowledge Base

Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to Text Transformation

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense Question Answering

Asking the Right Questions: Learning Interpretable Action Models through Query Answering

HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions

關(guān)系抽取

FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction

Multi-View Inference for Relation Extraction with Uncertain Knowledge

GDPNet: Refining Latent Multi-View Graph for Relation Extraction

Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

Document-Level Relation Extraction with Reconstruction

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document Level Relation Extraction

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations

事件抽取

GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event Extraction

What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering

Span-Based Event Coreference Resolution

機(jī)器翻譯

Self-Supervised Bilingual Syntactic Alignment for Neural Machine Translation

Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation8

Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance

Finding Sparse Structure for Domain Specific Neural Machine Translation

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information

Synchronous Interactive Decoding for Multilingual Neural Machine Translation

Accelerating Neural Machine Translation with Partial Word Embedding Compression

DirectQE: Direct Pretraining for Machine Translation Quality Estimation

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation

知識(shí)圖譜

Dual Quaternion Knowledge Graph Embeddings

Type-Augmented Relation Prediction in Knowledge Graphs

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding

KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders

GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning

Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge Graphs

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy Generation Networks

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

Knowledge Graph Embeddings with Projective Transformations

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual Property Theft

Dynamic Knowledge Graph Alignment

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense Question Answering

閱讀理解

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading

Retrospective Reader for Machine Reading Comprehension

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

VisualMRC: Machine Reading Comprehension on Document Images

A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality Attention

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading

文本生成

A Theoretical Analysis of the Repetition Problem in Text Generation

TextGAIL: Generative Adversarial Imitation Learning for Text Generation

Towards Faithfulness in Open Domain Table-to-Text Generation from an Entity-Centric View

Perception Score: A Learned Metric for Open-Ended Text Generation Evaluation

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text

Write-a-Speaker: Text-Based Emotional and Rhythmic Talking-Head Generation

Stylized Dialogue Response Generation Using Stylized Unpaired Texts

知識(shí)蒸餾

PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning

LRC-BERT: Latent-Representation Contrastive Knowledge Distillation for Natural Language Understanding

Peer Collaborative Learning for Online Knowledge Distillation

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation

Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures

Diverse Knowledge Distillation for End-to-End Person Search

Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation

Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis

ALP-KD: Attention-Based Layer Projection for Knowledge Distillation

Progressive Network Grafting for Few-Shot Knowledge Distillation

Show, Attend and Distill: Knowledge Distillation via Attention-Based Feature Matching

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks

Reinforced Multi-Teacher Selection for Knowledge Distillation

少量或者零樣本學(xué)習(xí)

Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors

Learning Intact Features by Erasing-Inpainting for Few-Shot Classification

PTN: A Poisson Transfer Network for Semi-Supervised Few-Shot Learning

Few-Shot Lifelong Learning

Partial Is Better Than All: Revisiting Fine-Tuning Strategy for Few-Shot Learning

Few-Shot Font Generation with Localized Style Representations and Factorization

Few-Shot One-Class Classification via Meta-Learning

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph

FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction

Learning a Few-Shot Embedding Model with Contrastive Learning

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks

Looking Wider for Better Adaptive Representation in Few-Shot Learning

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation

Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition

Task Cooperation for Semi-Supervised Few-Shot Learning

SALNet: Semi-Supervised Few-Shot Text Classification with Attention-Based Lexicon Construction

StarNet: Towards Weakly Supervised Few-Shot Object Detection

Progressive Network Grafting for Few-Shot Knowledge Distillation

Few-Shot Learning for Multi-Label Intent Detection

Incremental Embedding Learning via Zero-Shot Translation

Task Aligned Generative Meta-Learning for Zero-Shot Learning

Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question Answering

Generalized Zero-Shot Learning via Disentangled Representation

DASZL: Dynamic Action Signatures for Zero-Shot Learning

Semantic-Guided Reinforced Region Embedding for Generalized Zero-Shot Learning

Extracting Zero-Shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers

A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking

Leveraging Table Content for Zero-Shot Text-to-SQL with Meta-Learning

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense Question Answering

跨領(lǐng)域

Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation17

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing

An Adaptive Hybrid Framework for Cross-Domain Aspect-Based Sentiment Analysis

CrossNER: Evaluating Cross-Domain Named Entity Recognition

Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation

Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation

Embracing Domain Differences in Fake News: Cross-Domain Fake News Detection Using Multi-Modal Data

跨語(yǔ)言

FILTER: An Enhanced Fusion Method for Cross-Lingual Language Understanding

On the Importance of Word Order Information in Cross-Lingual Sequence Labeling

XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation

GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event Extraction

多語(yǔ)言

How Linguistically Fair Are Multilingual Pre-Trained Language Models?

Synchronous Interactive Decoding for Multilingual Neural Machine Translation

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition

Analogy Training Multilingual Encoders

Multilingual Transfer Learning for QA Using Translation as Data Augmentation

新bert改進(jìn)模型

RpBERT: A Text-Image Relation Propagation-Based BERT Model for Multimodal NER

LRC-BERT: Latent-Representation Contrastive Knowledge Distillation for Natural Language Understanding

U-BERT: Pre-Training User Representations for Improved Recommendation

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces

RareBERT: Transformer Architecture for Rare Disease Patient Identification Using Administrative Claims

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest

多模態(tài)

Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality Attention

SMIL: Multimodal Learning with Severely Missing Modality

RpBERT: A Text-Image Relation Propagation-Based BERT Model for Multimodal NER

Confidence-Aware Non-Repetitive Multimodal Transformers for TextCaps

Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction

Multi-Modal Multi-Label Emotion Recognition with Heterogeneous Hierarchical Message Passing

Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance

Robust Multi-Modality Person Re-Identification

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-Modal Solution Characterization for Computational Imaging

VMLoc: Variational Fusion for Learning-Based Multimodal Camera Localization

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers

Learning Intuitive Physics with Multimodal Generative Models

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces

Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives

Embracing Domain Differences in Fake News: Cross-Domain Fake News Detection Using Multi-Modal Data

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning

Humor Knowledge Enriched Transformer for Understanding Multimodal Humor

MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification

責(zé)任編輯：xj

原文標(biāo)題：【AAAI2021】NLP所有方向論文列表（情感分析、句法、NER、對(duì)話/問(wèn)答、關(guān)系抽取、KD等）

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