yusuke1997/dblp-id-title huggingface dataset:
Composition of web services using multi agent based planning with high availability of web services
Comparison study for computer assisted detection and diagnosis 'CAD' systems dedicated to prostate cancer detection using MRImp modalities
New and optimal set up for 3D-based stereovision system for manufacturing inspection in 4.0 industry
Comparison between two methods of facial emotion classification: The degree of characterization and percentage of variation
3D Convolutional Recurrent Global Neural Network for Speech Emotion Recognition
Microcalcifications detection from mammographie images based on region growing and variational energy convergence
Speckle noise reduction in digital speckle pattern interferometry using Riesz wavelets transform
LULC Change Detection Using Combined Machine and Deep Learning Classifiers
Detection of Epileptic High Frequency Oscillations Using Support Vector Machines
Credit Card Fraud Detection Using Synthetic Minority Oversampling Technique and Deep Learning Technique
Estimating of water quality parameters using SAR and thermal microwave remote sensing data
Forecasting of the normalized difference vegetation index time series in Jbeniana
Tandem repeat search tools performance for the Arabidopsis thaliana genome
Automated detection and tracking of phlebotominaes
Performance Evaluation of Various Denoising Filters and segmentation methods for OCT images
Gabor-SVM applied to 3D-2D deformed mesh model
Audio signal Enhancement based on amplitude and phase deep learning model
Real time positioning over WSN and RFID network integration
A deep learning approach based on morphological profiles for Hyperspectral Image unmixing
Identification of the user by using a hardware device
Speech emotion recognition in noisy environment
Siamese Network for Face Recognition in Degraded Conditions
Yield estimation of the winter wheat using Radarsat 2 polarimetric SAR reponse
Wigner ville representation of voiced speech signal: Quasi-harmonic model vs. sinusoidal model
Classification of DNA Microarrays Using Deep Learning to identify Cell Cycle Regulated Genes
Inversion of vegetation canopy reflectance based on variationnel multiscale approach
Advanced graph deep learning for High-dimensional image analysis: challenges and opportunities
Efficient source separation algorithm based on NMF approach
The Design, by Physical Topology Optimizing, of a Passive UHF RFID Identification System: Suitable for Applications with Various Constraints
Application of BSIF, Log-Gabor and mRMR transforms for iris and palmprint based Bi-modal identification system
Dynamic Bayesian networks for Arabic phonemes recognition
A multimodal Physiological-Based Stress Recognition: Deep Learning Models' Evaluation in Gamers' Monitoring Application
A Novel Deep Neural Network Model using Resnet50-BiLSTM for Biometric Ear Recognition in Degraded Conditions
A Clinical support system for Prediction of Heart Disease using Machine Learning Techniques
Anomaly detection through outlier and neighborhood data in Wireless Sensor Networks
Real time ultrasound image denoising using NVIDIA CUDA
Network In-Network (NIN) for Glioma Tumor Grade classification
3D acquisition system for 3D forms recognition
Wavelet regularization in parallel imaging
A spectroscopic approach based on Non-negative Matrix Factorization method for multispectral fluorescence images unmixing
On the use of pitch-based features for fear emotion detection from speech
Target recognition from ISAR image using polar mapping and shape matrix
Pathological voices detection using Support Vector Machine
Saliency attention and sift keypoints combination for automatic target recognition on MSTAR dataset
Feature Optimization for Gifted Children Diagnosis
Adding dimensional features for emotion recognition on speech
Towards Early Diagnosis Of Parkinson's Disease Through Speech Signals' Analysis Based on Advanced Deep Learning Techniques
The Role of Virtual Reality Technology in Knowledge Acquisition: A Systematic Review
Transfer Learning Models for MRI-Based Brain Tumor Detection
Exploring the Nexus of Mental Health Research and Data Synthesis: Role of Medical Data Quality in Machine Learning for Addiction Studies
Demographic Face Profiling Based on Age, Gender and Race
Automatic sign language recognition: A survey
R peak detection in electrocardiogram signal based on a combination between empirical mode decomposition and Hilbert transform
Possibility theory based approach for iris recognition in biometric systems
Multidatabase ECG signal processing
FPGA-based secondary on-board computer system for low-earth-orbit nano-satellite
Denoising uterine EMG signals using LMS and RLS adaptive algorithms
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
How Length Prediction Influence the Performance of Non-Autoregressive Translation?
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification
BERTnesia: Investigating the capture and forgetting of knowledge in BERT
The Explanation Game: Towards Prediction Explainability through Sparse Communication
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models
Controlled tasks for model analysis: Retrieving discrete information from sequences
Multi-Granular Text Encoding for Self-Explaining Categorization
Derivational Morphological Relations in Word Embeddings
Unsupervised Evaluation for Question Answering with Transformers
Post-hoc analysis of Arabic transformer models
Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System
A Minimal Model for Compositional Generalization on gSCAN
Screening Gender Transfer in Neural Machine Translation
Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains
Understanding Domain Learning in Language Models Through Subpopulation Analysis
Probing the representations of named entities in Transformer-based Language Models
Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Using Roark-Hollingshead Distance to Probe BERT's Syntactic Competence
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2021, Punta Cana, Dominican Republic, November 11, 2021
Testing the Generalization Power of Neural Network Models across NLI Benchmarks
ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
Analyzing BERT's Knowledge of Hypernymy via Prompting
Controlling for Stereotypes in Multimodal Language Model Evaluation
Learning the Dyck Language with Attention-based Seq2Seq Models
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently
Detecting Political Bias in News Articles Using Headline Attention
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle
Open Sesame: Getting inside BERT's Linguistic Knowledge
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering
Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised
How Much Consistency Is Your Accuracy Worth?
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Latent Tree Learning with Ordered Neurons: What Parses Does It Produce?
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
What Happens To BERT Embeddings During Fine-tuning?
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model
Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks
To what extent do human explanations of model behavior align with actual model behavior?
Explaining Translationese: why are Neural Classifiers Better and what do they Learn?
Probing GPT-3's Linguistic Knowledge on Semantic Tasks
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis
Can Neural Networks Understand Monotonicity Reasoning?
Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
Defining Explanation in an AI Context
This is a BERT. Now there are several of them. Can they generalize to novel words?
Emergent Language Generalization and Acquisition Speed are not tied to Compositionality
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms
Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems
What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2023, Singapore, December 7, 2023
Efficient Explanations from Empirical Explainers
An in-depth look at Euclidean disk embeddings for structure preserving parsing
On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition
Character-Level Chinese Backpack Language Models
Probing Pretrained Models of Source Codes
On the Realization of Compositionality in Neural Networks
Examining the rhetorical capacities of neural language models
Faithful Multimodal Explanation for Visual Question Answering
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines
The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation
The Self-Contained Negation Test Set
NPIs Aren't Exactly Easy: Variation in Licensing across Large Language Models
Investigating Negation in Pre-trained Vision-and-language Models
Investigating the Characteristics of a Transformer in a Few-Shot Setup: Does Freezing Layers in RoBERTa Help?
Sentence Ambiguity, Grammaticality and Complexity Probes
Test Harder than You Train: Probing with Extrapolation Splits
What Does BERT Look at? An Analysis of BERT's Attention
Not Wacky vs. Definitely Wacky: A Study of Scalar Adverbs in Pretrained Language Models
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation
It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark
diagNNose: A Library for Neural Activation Analysis
Not all parameters are born equal: Attention is mostly what you need
Analyzing the Structure of Attention in a Transformer Language Model
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2020, Online, November 2020
Modeling Paths for Explainable Knowledge Base Completion
On the Compositional Generalization Gap of In-Context Learning
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
How (Un)Faithful is Attention?
Exploring Neural Entity Representations for Semantic Information
The Meaning of "Most" for Visual Question Answering Models
Do Language Embeddings capture Scales?
Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests
Self-Consistency of Large Language Models under Ambiguity
Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis
"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation
GEval: Tool for Debugging NLP Datasets and Models
Probing Language Models for Understanding of Temporal Expressions
Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling
Training Dynamic based data filtering may not work for NLP datasets
On the Limits of Minimal Pairs in Contrastive Evaluation
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
Evaluating Recurrent Neural Network Explanations
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@ACL 2019, Florence, Italy, August 1, 2019
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit
Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference
An Investigation of Language Model Interpretability via Sentence Editing
Rigorously Assessing Natural Language Explanations of Neurons
Garden Path Traversal in GPT-2
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality
The Acceptability Delta Criterion: Testing Knowledge of Language using the Gradience of Sentence Acceptability
Evaluating Attribution Methods using White-Box LSTMs
METAPROBE: A Representation- and Task-Agnostic Probe
Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions
Knowledge-Grounded Natural Language Recommendation Explanation
The EOS Decision and Length Extrapolation
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
Do Language Models Know the Way to Rome?
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
Decomposing Natural Logic Inferences for Neural NLI
Exploratory Model Analysis Using Data-Driven Neuron Representations
Second-Order NLP Adversarial Examples
A howling success or a working sea? Testing what BERT knows about metaphors
Variation and generality in encoding of syntactic anomaly information in sentence embeddings
Leveraging Extracted Model Adversaries for Improved Black Box Attacks
Investigating Semantic Subspaces of Transformer Sentence Embeddings through Linear Structural Probing
An LSTM Adaptation Study of (Un)grammaticality
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions
DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models
Introducing VULCAN: A Visualization Tool for Understanding Our Models and Data by Example
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?
Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings
Is It Smaller Than a Tennis Ball? Language Models Play the Game of Twenty Questions
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Explaining Data Patterns in Natural Language with Language Models
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
Controlling the Imprint of Passivization and Negation in Contextualized Representations
Discrete representations in neural models of spoken language
An Analysis of Source-Side Grammatical Errors in NMT
Probing with Noise: Unpicking the Warp and Weft of Embeddings
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
Are Multilingual Sentiment Models Equally Right for the Right Reasons?
Practical Benefits of Feature Feedback Under Distribution Shift
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English
Universal Evasion Attacks on Summarization Scoring
Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation
Revisit Systematic Generalization via Meaningful Learning
Relating Neural Text Degeneration to Exposure Bias
Analyzing the Representational Geometry of Acoustic Word Embeddings
Layered Bias: Interpreting Bias in Pretrained Large Language Models
How does BERT capture semantics? A closer look at polysemous words
Character Eyes: Seeing Language through Character-Level Taggers
Investigating the Encoding of Words in BERT's Neurons Using Feature Textualization
Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing
BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset
Intermediate Entity-based Sparse Interpretable Representation Learning
Do Human Rationales Improve Machine Explanations?
Enhancing Interpretability Using Human Similarity Judgements to Prune Word Embeddings
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
Sparse Interventions in Language Models with Differentiable Masking
Neural Machine Translation Techniques for Named Entity Transliteration
Proceedings of the 2010 Named Entities Workshop, NEWS@ACL 2010, Uppsala, Sweden, July 16, 2010
Regulating Orthography-Phonology Relationship for English to Thai Transliteration
$$-extension Hidden Markov Models and Weighted Transducers for Machine Transliteration
Think Globally, Apply Locally: Using Distributional Characteristics for Hindi Named Entity Identification
DirecTL: a Language Independent Approach to Transliteration
Assessing the Challenge of Fine-Grained Named Entity Recognition and Classification
Regularity and Flexibility in English-Chinese Name Transliteration
Integrating Models Derived from non-Parametric Bayesian Co-segmentation into a Statistical Machine Transliteration System
A Hybrid Approach to English-Korean Name Transliteration
Transliteration of Name Entity via Improved Statistical Translation on Character Sequences
Report of NEWS 2018 Named Entity Transliteration Shared Task
Phonological Context Approximation and Homophone Treatment for NEWS 2009 English-Chinese Transliteration Shared Task
English to Indian Languages Machine Transliteration System at NEWS 2010
Report of NEWS 2011 Machine Transliteration Shared Task
Transliteration by Sequence Labeling with Lattice Encodings and Reranking
Classifying Wikipedia Articles into NE's Using SVM's with Threshold Adjustment
Syllable-based Machine Transliteration with Extra Phrase Features
Product Name Identification and Classification in Thai Economic News
Transliteration Experiments on Chinese and Arabic
Combining a Two-step Conditional Random Field Model and a Joint Source Channel Model for Machine Transliteration
Whitepaper of NEWS 2015 Shared Task on Machine Transliteration
Neural Network Transduction Models in Transliteration Generation
NEWS 2018 Whitepaper
A Hybrid Model for Urdu Hindi Transliteration
NEWS 2009 Machine Transliteration Shared Task System Description: Transliteration with Letter-to-Phoneme Technology
Attention-based Semantic Priming for Slot-filling
English-Hindi Transliteration Using Context-Informed PB-SMT: the DCU System for NEWS 2009
Substring-based Transliteration with Conditional Random Fields
Multi-source named entity typing for social media
Syllable-Based Thai-English Machine Transliteration
Spanish NER with Word Representations and Conditional Random Fields
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods
A Language-Independent Transliteration Schema Using Character Aligned Models at NEWS 2009
Name Matching between Roman and Chinese Scripts: Machine Complements Human
Chinese-English Organization Name Translation Based on Correlative Expansion
Report of NEWS 2010 Transliteration Generation Shared Task
HAREM and Klue: how to put two tagsets for named entities annotation together
Transliteration by Bidirectional Statistical Machine Translation
Testing and Performance Evaluation of Machine Transliteration System for Tamil Language
Named Entity Transcription with Pair n-Gram Models
Named Entity Recognition for Hindi-English Code-Mixed Social Media Text
Improving Transliteration Accuracy Using Word-Origin Detection and Lexicon Lookup
Data representation methods and use of mined corpora for Indian language transliteration
Transliteration Mining with Phonetic Conflation and Iterative Training
Moses-based official baseline for NEWS 2016
Applying Neural Networks to English-Chinese Named Entity Transliteration
Whitepaper of NEWS 2010 Shared Task on Transliteration Generation
The Amirkabir Machine Transliteration System for NEWS 2011: Farsi-to-English Task
Voted NER System using Appropriate Unlabeled Data
Cost-benefit Analysis of Two-Stage Conditional Random Fields based English-to-Chinese Machine Transliteration
Latent Semantic Transliteration using Dirichlet Mixture
Whitepaper of NEWS 2009 Machine Transliteration Shared Task
Rule-Based Named Entity Recognition in Urdu
Comparative Evaluation of Spanish Segmentation Strategies for Spanish-Chinese Transliteration
How do you spell that? A journey through word representations
CONE: Metrics for Automatic Evaluation of Named Entity Co-Reference Resolution
NCU IISR English-Korean and English-Chinese Named Entity Transliteration Using Different Grapheme Segmentation Approaches
Automata for Transliteration and Machine Translation
Combining MDL Transliteration Training with Discriminative Modeling
Boosting Named Entity Recognition with Neural Character Embeddings
Transliteration Using a Phrase-Based Statistical Machine Translation System to Re-Score the Output of a Joint Multigram Model
Proceedings of the Sixth Named Entity Workshop, NEWS@ACL 2016, Berlin, Germany, August 12, 2016
An Unsupervised Alignment Model for Sequence Labeling: Application to Name Transliteration
Graphemic Approximation of Phonological Context for English-Chinese Transliteration
Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology
Proceedings of the Seventh Named Entities Workshop, NEWS@ACL 2018, Melbourne, Australia, July 20, 2018
Applying mpaligner to Machine Transliteration with Japanese-Specific Heuristics
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues
Maximum n-Gram HMM-based Name Transliteration: Experiment in NEWS 2009 on English-Chinese Corpus
Rescoring a Phrase-based Machine Transliteration System with Recurrent Neural Network Language Models
Automatically generated NE tagged corpora for English and Hungarian
Whitepaper of NEWS 2012 Shared Task on Machine Transliteration
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages