yusuke1997/dblp-id-title huggingface dataset:
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association
An Empirical Study of Frame Selection for Text-to-Video Retrieval
Self-Attention with Structural Position Representations
PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection
Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering
Sentiment Analysis with Weighted Graph Convolutional Networks
A Deep Neural Network Sentence Level Classification Method with Context Information
Continual Dialogue State Tracking via Example-Guided Question Answering
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification
MIBench: Evaluating Multimodal Large Language Models over Multiple Images
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models
Open World Classification with Adaptive Negative Samples
Conditioning on Dialog Acts improves Empathy Style Transfer
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
SimCKP: Simple Contrastive Learning of Keyphrase Representations
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task
Pathologies of Neural Models Make Interpretation Difficult
Fast Joint Compression and Summarization via Graph Cuts
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant
Learning to select data for transfer learning with Bayesian Optimization
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model
Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
Subword Segmental Language Modelling for Nguni Languages
Guiding Neural Machine Translation with Semantic Kernels
Dialogue Meaning Representation for Task-Oriented Dialogue Systems
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
Is NLP Ready for Standardization?
TrojanSQL: SQL Injection against Natural Language Interface to Database
Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024
MatRank: Text Re-ranking by Latent Preference Matrix
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
Low-resource Interactive Active Labeling for Fine-tuning Language Models
Generative Models for Product Attribute Extraction
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Parsing with Multilingual BERT, a Small Treebank, and a Small Corpus
Open-world Multi-label Text Classification with Extremely Weak Supervision
Single Malt or Blended? A Study in Multilingual Parser Optimization
Anaphor Assisted Document-Level Relation Extraction
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
Convolutional Neural Network Language Models
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Copyright Violations and Large Language Models
A Corpus-based Syntactic Analysis of Two-termed Unlike Coordination
Framework of Automatic Text Summarization Using Reinforcement Learning
Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
BiSPN: Generating Entity Set and Relation Set Coherently in One Pass
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation
A Beam-Search Decoder for Grammatical Error Correction
Tab2Text - A framework for deep learning with tabular data
A Joint Model for Unsupervised Chinese Word Segmentation
How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT
Syntax Encoding with Application in Authorship Attribution
Calibrating Long-form Generations From Large Language Models
WorryWords: Norms of Anxiety Association for over 44k English Words
Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
In-Context Former: Lightning-fast Compressing Context for Large Language Model
EDTC: A Corpus for Discourse-Level Topic Chain Parsing
Mapping Multilingual Hierarchies Using Relaxation Labeling
Is a Prestigious Job the same as a Prestigious Country? A Case Study on Multilingual Sentence Embeddings and European Countries
Discovering Language-neutral Sub-networks in Multilingual Language Models
Robust Open-Vocabulary Translation from Visual Text Representations
Extracting Entities and Relations with Joint Minimum Risk Training
Cross-lingual intent classification in a low resource industrial setting
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
Automatically Inferring Gender Associations from Language
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs
BERT-enhanced Relational Sentence Ordering Network
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Help! Need Advice on Identifying Advice
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
Online Large-Margin Training of Syntactic and Structural Translation Features
Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection
BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets
Where to Submit? Helping Researchers to Choose the Right Venue
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation
A Structural Support Vector Method for Extracting Contexts and Answers of Questions from Online Forums
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents
Probing the "Creativity" of Large Language Models: Can models produce divergent semantic association?
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories
DeSMOG: Detecting Stance in Media On Global Warming
Learning what to read: Focused machine reading
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Sparse Teachers Can Be Dense with Knowledge
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Knowledge-Centric Templatic Views of Documents
Identifying pandemic-related stress factors from social-media posts - Effects on students and young-adults
Discourse Context Predictability Effects in Hindi Word Order
Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach
RobBERT: a Dutch RoBERTa-based Language Model
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
Character Based Pattern Mining for Neology Detection
VGA: Vision GUI Assistant - Minimizing Hallucinations through Image-Centric Fine-Tuning
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
Joint Morphological and Syntactic Disambiguation
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
Convolutional Neural Networks for Sentence Classification
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
A Neural Graph-based Local Coherence Model
Reward Modeling Requires Automatic Adjustment Based on Data Quality
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding
SLING: Sino Linguistic Evaluation of Large Language Models
Visual Denotations for Recognizing Textual Entailment
DepDist: Surface realization via regex and learned dependency-distance tolerance
Few-Shot Named Entity Recognition: An Empirical Baseline Study
Semantics and Discourse Processing for Expressive TTS
Prediction Improves Simultaneous Neural Machine Translation
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction
Incremental Neural Coreference Resolution in Constant Memory
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Prompterator: Iterate Efficiently towards More Effective Prompts
Towards a Unified Framework for Reference Retrieval and Related Work Generation
MiSS: An Assistant for Multi-Style Simultaneous Translation
The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
Consistent Document-level Relation Extraction via Counterfactuals
Linguistic Dependencies and Statistical Dependence
Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
The (Undesired) Attenuation of Human Biases by Multilinguality
Towards Better Context-aware Lexical Semantics: Adjusting Contextualized Representations through Static Anchors
Evaluation of African American Language Bias in Natural Language Generation
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection
A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations
Rater Cohesion and Quality from a Vicarious Perspective
Improving word mover's distance by leveraging self-attention matrix
Explorations in Automatic Book Summarization
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
Event Detection and Co-reference with Minimal Supervision
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
Improving Mention Detection Robustness to Noisy Input
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Constituent Parsing as Sequence Labeling
Code-Switching with Word Senses for Pretraining in Neural Machine Translation
Twitter Polarity Classification with Label Propagation over Lexical Links and the Follower Graph
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
Unsupervised morphological segmentation and clustering with document boundaries
Learning from Mistakes via Cooperative Study Assistant for Large Language Models
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
Dependency Graph Parsing as Sequence Labeling
A Development Environment for Distributed Systems
On the Design of Parallel Programs for Machines with Distributed Memory
Multicomputers UNIX based on CHORUS
Code Generation for Data Parallel Programs on DMPCs
The Architecture of the European MIMD Supercomputer GENESIS
Experiences in Parallelizing an Existing CFD Algorithm
Fault-Tolerant Gossiping on Hypercube Multicomputers
The Next Generation Transputers and Beyond
An Object-Oriented Interface for Parallel Programming of Loosely-Coupled Multiprocessor Systems
Flexible User-Definable Memory Coherence Scheme in Distributed Shared Memory of GALAXY
Parallel Algorithms for the Direct Solution of Finite Element Equations on a Distributed Memory Computer
Parallelization of Lee's Routing Algorithm on a Hypercube Multicomputer
Mapping Systolic Algorithms on Distributed Memory Computers
A Compiler for a Distributed Inference Model
SIMPLE: A Performance Evaluation Tool Environment for Parallel and Distributed Systems
Using a Weak Coherency Model for a Parallel Lisp
Partial Ordering of Synchronization Events for Distributed Debugging in Tightly-coupled Multiprocessor Systems
A Shared Environment Parallel Logic Programming System on Distributed Memory Architectures
Monitor-Supported Analysis of a Communication System for Transputer-Networks
Making PEACE a Dynamic Alterable System
An Optimal Structure that Accomodates both a Ring and a Binary Tree
Implementation and Evaluation of Distributed Synchronization on a Distributed Memory Parallel Machine
Optimal Multinode Broadcast on a Mesh Connected Graph with Reduced Bufferization
DAMP - A Dynamic Reconfigurable Multiprocessor System with a Distributed Switching Network
On the Design of Deadlock-Free Adaptive Routing Algorithms for Multicomputers: Theoretical Aspects
OAL: an Implementation of an Actor Language on a Massively Parallel Message-Passing Architecture
A Scalable Communication Processor Design supporting Systolic Communication
Parallelization of Multigrid Programs in SUPERB
Simulation of the MC88000 Microprocessor System on a Transputer Network
Implementing Committed-Choice Logic Programming Languages on Distributed Memory Computers
ADAM - An Abstract Dataflow Machine and Its Transputer Implementation
Managing the Recursive Generation of Tasks in a Transputer Network
A Domain Decomposition Method for Scattered Data Approximation on a Distributed Memory Multiprocessor
Mapping Graphs onto a Partially Reconfigurable Architecture
Performance Benefits from Locally Adaptive Interval Routing in Dynamically Switched Interconnection Networks
Efficient and Scalable Logic Busses for Message-Passing Interconnection Networks
An Integrated Environment for Programming Distributed Memory Multiprocessors
Efficient Execution Replay Technique for Distributed Memory Architectures
Simulation Facility of Distributed Memory System with "Mad Postman" Communication Network
Store Coherency in a Parallel Distributed-Memory Machine
The New Age of Supercomputing
Nonlinear Adaptive Finite Element Systems on Distributed Memory Computers
On Automatic Loop Data-Mapping for Distributed-Memory Multiprocessors
European Declarative System (EDS): Architecture and Interprocess Communication
Interleaving Partitions of Systolic Algorithms for Programming Distributed Memory Multiprocessors
Distributed Heapmanagement using reference weights
Architecture, Implementation and System Software of K2
A Distributed Implementation of Shared Virtual Memory with Strong and Weak Coherence
Distributed Memory Computing, 2nd European Conference, EDMCC2, Munich, FRG, April 22-24, 1991, Proceedings
Adaptive Irregular Multiple Grids on a Distributed Memory Multiprocessor
ELAINE: rELiAbility and evIdence-aware News vErifier
Proceedings of the Workshop on NLP applied to Misinformation co-located with 39th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Jaen, Spain, Septembre 26, 2023
Google Snippets and Twitter Posts; Examining Similarities to Identify Misinformation
Where Does It End? Long Named Entity Recognition for Propaganda Detection and Beyond
HAMiSoN Project
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS
ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions
Alternating Autoencoders for Matrix Completion
Profit Maximizing Logistic Regression Modeling for Credit Scoring
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization
Dynamic Functional Connectivity Using Heat Kernel
Online Tensor Decomposition and Imputation for Count Data
MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs
Subspace Data Visualization with Dissimilarity Based on Principal Angle
Scalable Learning with Privacy Over Graphs
Deep CNN Sparse Coding Analysis: Towards Average Case
Graph Topology Learning and Signal Recovery Via Bayesian Inference
Multispectral Snapshot Demosaicing Via Non-Convex Matrix Completion
Spectral Statistics of Directed Networks with Random Link Model Transpose-Asymmetry
Comprehensive Personalized Ranking Using One-Bit Comparison Data
On Graph Convolution for Graph CNNs
Sparse and Functional Principal Components Analysis
Recovery of Missing Data in Correlated Smart Grid Datasets
Simultaneous Multivariate Outlier and Trend Detection
Sampling of Graph Signals with Blue Noise Dithering
On Learning Laplacians of Tree Structured Graphs
Online selective training for faster neural network learning
Learning from Signals Defined over Simplicial Complexes
A Stochastic LBFGS Algorithm for Radio Interferometric Calibration
Online Graph Learning from Sequential Data
Online Sparse Subspace Clustering
Splitting Methods For Convex Bi-Clustering And Co-Clustering
Subsampling Least Squares and Elemental Estimation
False Discovery Rate Control with Concave Penalties Using Stability Selection
Learning to Infer Voltage Stability Margin Using Transfer Learning
The Core Consistency of a Compressed Tensor
Online Identification of Directional Graph Topologies Capturing Dynamic and Nonlinear Dependencies
Statistical Learning Using Hierarchical Modeling of Probability Tensors
Distance-Penalized Active Learning via Markov Decision Processes
Semi-Supervised Transfer Learning Using Marginal Predictors
Enhancing Medical Imaging Semantic Segmentation Using the Digital Annealer
Learning Flexible Representations of Stochastic Processes on Graphs
Learning to Infer Power Grid Topologies: Performance and Scalability
Data Driven Measurement Matrix Learning for Sparse Reconstruction
Uncertainty Quantification in Sunspot Counts
Semi-Blind Inference of Topologies and Signals over Graphs
Sparse Subspace Clustering with Missing and Corrupted Data
Assessing the Resilience of the Texas Power Grid Network
Optimizing Thermal Comfort and Energy Consumption in a Large Building without Renovation Work
An Efficient Recommender System by Integrating Non-Negative Matrix Factorization with Trust and Distrust Relationships
Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations
Network Inference from Complex Systems Steady States Observations: Theory and Methods
Classification of Hyperspectral Colon Cancer Images Using Convolutional Neural Networks
Learning to Detect an Anomalous Target with Observations from an Exponential Family
Endmember Extraction on the Grassmannian
Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning
Online Topology Inference from Streaming Stationary Graph Signals
Vector Compression for Similarity Search Using Multi-Layer Sparse Ternary Codes
Long-Range Dependence Parameter Estimation For Mixed Spectra Gaussian Processes
Structural Robustness for Deep Learning Architectures
Sparsest Network Support Estimation: A Submodular Approach
Convolutional Neural Networks via Node-Varying Graph Filters
2018 IEEE Data Science Workshop, DSW 2018, Lausanne, Switzerland, June 4-6, 2018
Non-Negative Super-Resolution is Stable
Non-Negative Matrix Factorization of Clustered Data with Missing Values
An Exponentially Convergent Algorithm for Learning Under Distributed Features
Canonical Polyadic (CP) Decomposition of Structured Semi-Symmetric Fourth-Order Tensors
Kernel-Based Efficient Lifelong Learning Algorithm
Causality from a Distributional Robustness Point of View
Divide-and-Conquer Tomography for Large-Scale Networks
IEEE Data Science Workshop, DSW 2019, Minneapolis, MN, USA, June 2-5, 2019
A Novel Backbone Network Anomaly Detector via Clustering in Sketch Space
Online Distributed Estimation of Principal Eigenspaces
Sparse Anomaly Representations in Very High-Dimensional Brain Signals
Computational Strategies for Statistical Inference Based on Empirical Optimal Transport
Directed Network Topology Inference via Graph Filter Identification
Subgradient Projection Over Directed Graphs Using Surplus Consensus
The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact
Data-Driven Mean-Field Game Approximation for a Population of Electric Vehicles
Localization of Data Injection Attacks on Distributed M-Estimation
Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering
Blind Ensemble Classification of Sequential Data
On Modeling Voltage Phasor Measurements as Graph Signals
Distributed Nonparametric Inference Using a One-Sample Bootstrapped Anderson-Darling Test and P-Value Fusion
Deep One-Class Classification Using Intra-Class Splitting
Estimation of State-Space Models with Gaussian Mixture Process Noise
Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion
SAVE - Space Alternating Variational Estimation for Sparse Bayesian Learning
Rumour Detection Via News Propagation Dynamics and User Representation Learning
Gradient Coding with Clustering and Multi-Message Communication
Vertex-Frequency Clustering
Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs
Lfinite Sample Bounds on the Performance of Weighted Linear Least Squares in Sub-Gaussian Correlated Noise
Revised Note on Learning Quadratic Assignment with Graph Neural Networks
Bayesian Multiple Hypothesis Testing For Distributed Detection In Sensor Networks
Multi-Scale Algorithms for Optimal Transport
Deep Mimo Detection Using ADMM Unfolding
Supervised Principal Component Analysis Via Manifold Optimization
Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems
BYRDIE: A Byzantine-Resilient Distributed Learning Algorithm
Subspace Principal Angle Preserving Property of Gaussian Random Projection
Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks
Towards a Spectrum of Graph Convolutional Networks
Predicting Electricity Outages Caused By Convective Storms
Coke: Communication-Censored Kernel Learning Via Random Features
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Robust and Consistent Clustering Recovery via SDP Approaches
Graphical Models and Dynamic Latent Factors for Modeling Functional Brain Connectivity
Asynchronous Distributed Edge-Variant Graph Filters
Optimal Sampling Sets in Cographs
Training Generative Networks Using Random Discriminators
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition
Predictive Maintenance of Photovoltaic Panels via Deep Learning
Matching Convolutional Neural Networks without Priors about Data
Distributed Training with Mobile Agents: Optimization Over Dynamic Directed Graphs
Time-Varying Interaction Estimation Using Ensemble Methods