yusuke1997/dblp-id-title huggingface dataset:
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features
CUTE: Measuring LLMs' Understanding of Their Tokens
A Fine-Grained Taxonomy of Replies to Hate Speech
A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities
Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
Data Augmentation with Atomic Templates for Spoken Language Understanding
The Role of Pragmatic and Discourse Context in Determining Argument Impact
Linking Surface Facts to Large-Scale Knowledge Graphs
Open-Domain Sign Language Translation Learned from Online Video
Is Nike female? Exploring the role of sound symbolism in predicting brand name gender
Towards the Extraction of Customer-to-Customer Suggestions from Reviews
Question Classification using Head Words and their Hypernyms
Translingual Document Representations from Discriminative Projections
Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation
Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning
InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
Syntactic Transfer Using a Bilingual Lexicon
Saving Dense Retriever from Shortcut Dependency in Conversational Search
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
Plausibility Processing in Transformer Language Models: Focusing on the Role of Attention Heads in GPT
Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
SHAPE : Shifted Absolute Position Embedding for Transformers
P\textM²\textF²N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction
Unsupervised Natural Language Generation with Denoising Autoencoders
Assessing Phrasal Representation and Composition in Transformers
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
Piecewise Latent Variables for Neural Variational Text Processing
Bilingual Cluster Based Models for Statistical Machine Translation
Generative Language Models for Paragraph-Level Question Generation
Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
SUT: Active Defects Probing for Transcompiler Models
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
TADI: Topic-aware Attention and Powerful Dual-encoder Interaction for Recall in News Recommendation
Multi-Task Learning with Language Modeling for Question Generation
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles
Empirical Exploitation of Click Data for Task Specific Ranking
Convolutional Neural Networks with Recurrent Neural Filters
Adaptive Document Retrieval for Deep Question Answering
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks
Grounded and well-rounded: a methodological approach to the study of cross-modal and cross-lingual grounding
CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection
Commonsense Knowledge Mining from Pretrained Models
Goal-oriented Vision-and-Dialog Navigation via Reinforcement Learning
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
Measurement Extraction with Natural Language Processing: A Review
Multi-Document Summarisation Using Generic Relation Extraction
Hierarchical Phrase-based Translation Representations
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Benchmarking Language Models for Code Syntax Understanding
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation
Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations
Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations
Modeling Context With Linear Attention for Scalable Document-Level Translation
Exploring Topic Coherence over Many Models and Many Topics
DEMETR: Diagnosing Evaluation Metrics for Translation
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis
Mitigating the Alignment Tax of RLHF
On the Curious Case of l2 norm of Sense Embeddings
Entity Linking in 100 Languages
Identifying Predictive Causal Factors from News Streams
A Model of Discourse Predictions in Human Sentence Processing
S2abEL: A Dataset for Entity Linking from Scientific Tables
Unsupervised Learning of Syntactic Knowledge: Methods and Measures
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
Recent Trends in Linear Text Segmentation: A Survey
Microblog Entity Linking by Leveraging Extra Posts
STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 - System Demonstrations
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models
Where to start? Analyzing the potential value of intermediate models
Selection and Generation: Learning towards Multi-Product Advertisement Post Generation
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
Semi-Supervised Lifelong Language Learning
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models
Harnessing the power of LLMs: Evaluating human-AI text co-creation through the lens of news headline generation
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization
Open Relation and Event Type Discovery with Type Abstraction
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Finetuning Pretrained Transformers into RNNs
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure
Interpretable Relevant Emotion Ranking with Event-Driven Attention
Noisy Pair Corrector for Dense Retrieval
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Balancing via Generation for Multi-Class Text Classification Improvement
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Progressive Sentiment Analysis for Code-Switched Text Data
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
STTATTS: Unified Speech-To-Text And Text-To-Speech Model
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
Truth-Conditional Captions for Time Series Data
The Topology of Semantic Knowledge
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
Beyond Reference: Evaluating High Quality Translations Better than Human References
Bootstrapping Information Extraction from Field Books
A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games
ReportGPT: Human-in-the-loop Verifiable Table-to-Text Generation
Multi-Task Stance Detection with Sentiment and Stance Lexicons
SMASH: Improving SMAll Language Models' Few-SHot Ability with Prompt-Based Distillation
A Unified Dialogue User Simulator for Few-shot Data Augmentation
Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation
Recursive Deep Models for Discourse Parsing
Reasoning Robustness of LLMs to Adversarial Typographical Errors
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
ActiveEA: Active Learning for Neural Entity Alignment
Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
On the use of BERT for Neural Machine Translation
STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering
Defending Against Social Engineering Attacks in the Age of LLMs
DagoBERT: Generating Derivational Morphology with a Pretrained Language Model
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Valence Induction with a Head-Lexicalized PCFG
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations
Gradually Excavating External Knowledge for Implicit Complex Question Answering
Learning to Infer Entities, Properties and their Relations from Clinical Conversations
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks
Wine is not v i n. On the Compatibility of Tokenizations across Languages
ParaQG: A System for Generating Questions and Answers from Paragraphs
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
VecShare: A Framework for Sharing Word Representation Vectors
Language Models Based on Semantic Composition
Appropriately Incorporating Statistical Significance in PMI
A Data-Centric Framework for Composable NLP Workflows
A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction
Beyond Language: Learning Commonsense from Images for Reasoning
Revisiting the Impact of Pursuing Modularity for Code Generation
The effects of distance on NPI illusive effects in BERT
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
1-PAGER: One Pass Answer Generation and Evidence Retrieval
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion
PromptST: Abstract Prompt Learning for End-to-End Speech Translation
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder
Hybrid Disambiguation of Prepositional Phrase Attachment and Interpretation
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
On the Relationship between Truth and Political Bias in Language Models
Limitations in learning an interpreted language with recurrent models
Zero-Shot Data Maps. Efficient Dataset Cartography Without Model Training
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
On the Role of Scene Graphs in Image Captioning
Geo-BERT Pre-training Model for Query Rewriting in POI Search
Knowledge Base Question Answering via Encoding of Complex Query Graphs
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model
How Can Self-Attention Networks Recognize Dyck-n Languages?
Detecting Health Advice in Medical Research Literature
Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
Constructing a Psychometric Testbed for Fair Natural Language Processing
Licon: A Diverse, Controllable and Challenging Linguistic Concept Learning Benchmark
MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures
Frugal neural reranking: evaluation on the Covid-19 literature
Learning Musical Representations for Music Performance Question Answering
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing
Exploring the Best Practices of Query Expansion with Large Language Models
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
Sparse and Decorrelated Representations for Stable Zero-shot NMT
BanditSum: Extractive Summarization as a Contextual Bandit
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
Learning Opinion Summarizers by Selecting Informative Reviews
Revisiting the Uniform Information Density Hypothesis
Late Fusion of Transformers for Sentiment Analysis of Code-Switched Data
Large-Scale Verb Entailment Acquisition from the Web
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
Unsupervised Contextualized Document Representation
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
CSP: Code-Switching Pre-training for Neural Machine Translation
Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension
DeltaScore: Fine-Grained Story Evaluation with Perturbations
Deriving Machine Attention from Human Rationales
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
DEM: Distribution Edited Model for Training with Mixed Data Distributions
Cross-lingual Semantic Specialization via Lexical Relation Induction
LPC: A Logits and Parameter Calibration Framework for Continual Learning
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Language Modeling with Power Low Rank Ensembles
Block Pruning For Faster Transformers
Discreteness in Neural Natural Language Processing
Using Bins to Empirically Estimate Term Weights for Text Categorization
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Data-Efficient Language Shaped Few-shot Image Classification
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base
Cross-lingual Information Retrieval Using Hidden Markov Models
Specializing Word Embeddings (for Parsing) by Information Bottleneck
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation
Inference-Time Language Model Alignment via Integrated Value Guidance
Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
Extracting Aspect Specific Opinion Expressions
Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding
Using Universal Linguistic Knowledge to Guide Grammar Induction
Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy
Toward Unifying Text Segmentation and Long Document Summarization
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models
N-ary Relation Extraction using Graph-State LSTM
SRLGRN: Semantic Role Labeling Graph Reasoning Network
kNN-LM Does Not Improve Open-ended Text Generation
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Using Discourse Information for Paraphrase Extraction
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
Who is Who and What is What: Experiments in Cross-Document Co-Reference
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies
Improving Fine-grained Entity Typing with Entity Linking
On the Robustness of Editing Large Language Models
Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction
Few-Shot Novel Concept Learning for Semantic Parsing
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Competitive generative models with structure learning for NLP classification tasks
Retrieval Augmented Spelling Correction for E-Commerce Applications
Deriving continous grounded meaning representations from referentially structured multimodal contexts
Hope 'The Paragraph Guy' explains the rest : Introducing MeSum, the Meme Summarizer
Characterizing the Language of Online Communities and its Relation to Community Reception
Learning Dynamic Representations for Discourse Dependency Parsing
How to Stop an Avalanche? JoDeM: Joint Decision Making through Compare and Contrast for Dialog State Tracking
Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration
Japanese Zero Pronoun Resolution based on Ranking Rules and Machine Learning
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning
Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
Identifying Argumentative Discourse Structures in Persuasive Essays
Exploring and Predicting Transferability across NLP Tasks
Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
Building Chinese Discourse Corpus with Connective-driven Dependency Tree Structure
TINA: Textual Inference with Negation Augmentation
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
DA³: A Distribution-Aware Adversarial Attack against Language Models
End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching
Topical Coherence for Graph-based Extractive Summarization
Latent Domain Phrase-based Models for Adaptation
Large-Scale Cognate Recovery
MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup
Naive Bayes Word Sense Induction
Large Language Models in Machine Translation
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021
PCFG Induction for Unsupervised Parsing and Language Modelling
Non-linear Mapping for Improved Identification of 1300+ Languages
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation
Condenser: a Pre-training Architecture for Dense Retrieval
CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs
Lexicon-Based Graph Convolutional Network for Chinese Word Segmentation
Online Word Games for Semantic Data Collection
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
Semi-supervised New Event Type Induction and Event Detection
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Improving Verb Clustering with Automatically Acquired Selectional Preferences
FIRST: Faster Improved Listwise Reranking with Single Token Decoding
Unlocking the Potential of Model Merging for Low-Resource Languages
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers
Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only
Content- and Topology-Aware Representation Learning for Scientific Multi-Literature
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
Classifying Tweet Level Judgements of Rumours in Social Media
A Read-and-Select Framework for Zero-shot Entity Linking
HypMix: Hyperbolic Interpolative Data Augmentation
Schema-Driven Information Extraction from Heterogeneous Tables
SpeechQE: Estimating the Quality of Direct Speech Translation
A Semiparametric Model for Bayesian Reader Identification