yusuke1997/dblp-id-title huggingface dataset:
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
Mixed Membership Markov Models for Unsupervised Conversation Modeling
Semi-supervised CCG Lexicon Extension
Initializing Convolutional Filters with Semantic Features for Text Classification
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
Iterative Document Representation Learning Towards Summarization with Polishing
AxCell: Automatic Extraction of Results from Machine Learning Papers
A Simple Language Model based on PMI Matrix Approximations
Large Language Models for Propaganda Span Annotation
Statistical Filtering and Subcategorization Frame Acquisition
TOWER: Tree Organized Weighting for Evaluating Complex Instructions
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective
EEG responds to conceptual stimuli and corpus semantics
The Locality and Symmetry of Positional Encodings
NP Bracketing by Maximum Entropy Tagging and SVM Reranking
Hybrid Text Mining for Finding Abbreviations and their Definitions
Confidence in Structured-Prediction Using Confidence-Weighted Models
Automatic Discovery of Manner Relations and its Applications
ACE: A LLM-based Negotiation Coaching System
Developing a Curated Topic Model for COVID-19 Medical Research Literature
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Revisiting Sparse Retrieval for Few-shot Entity Linking
Are Large Language Models (LLMs) Good Social Predictors?
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Representation Projection Invariance Mitigates Representation Collapse
Self-Detoxifying Language Models via Toxification Reversal
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media
Learning Prototype Representations Across Few-Shot Tasks for Event Detection
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains
Rumor Detection on Social Media with Crowd Intelligence and ChatGPT-Assisted Networks
Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction
Automated Essay Scoring: A Reflection on the State of the Art
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models
Visual Goal-Step Inference using wikiHow
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
TextHide: Tackling Data Privacy for Language Understanding Tasks
Sketch Algorithms for Estimating Point Queries in NLP
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
Learning variable length units for SMT between related languages via Byte Pair Encoding
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
Segmentation-Free Word Embedding for Unsegmented Languages
Exact Decoding for Phrase-Based Statistical Machine Translation
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
Entity Annotation based on Inverse Index Operations
Gradient-guided Unsupervised Lexically Constrained Text Generation
Mental Disorder Classification via Temporal Representation of Text
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
Fact-Checking Meets Fauxtography: Verifying Claims About Images
NLP Found Helpful (at least for one Text Categorization Task)
RobustQA: A Framework for Adversarial Text Generation Analysis on Question Answering Systems
Understanding Computational Models of Semantic Change: New Insights from the Speech Community
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders
Leading Whitespaces of Language Models' Subword Vocabulary Pose a Confound for Calculating Word Probabilities
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling
Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
Evaluating Debiasing Techniques for Intersectional Biases
Reducing Gender Bias in Abusive Language Detection
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing
Unfolding and Shrinking Neural Machine Translation Ensembles
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack
SeqAttack: On Adversarial Attacks for Named Entity Recognition
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
Empirical Prior for Text Autoencoders
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
Debias NLU Datasets via Training-free Perturbations
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering
What do Models Learn from Question Answering Datasets?
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation
Specialist or Generalist? Instruction Tuning for Specific NLP Tasks
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
Adapting Coreference Resolution for Narrative Processing
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
What is "Typological Diversity" in NLP?
Why Doesn't EM Find Good HMM POS-Taggers?
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots
A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer
Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
End-to-End Neural Relation Extraction with Global Optimization
KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings
Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators
"I Know Who You Are": Character-Based Features for Conversational Humor Recognition in Chinese
Search-Aware Tuning for Machine Translation
Learning Recurrent Event Queries for Web Search
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings
Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis
Relation-aware Video Reading Comprehension for Temporal Language Grounding
Leveraging Web-Crawled Data for High-Quality Fine-Tuning
TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets
Ranking Manipulation for Conversational Search Engines
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets
Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction
SRL-Based Verb Selection for ESL
Informed Sampling for Diversity in Concept-to-Text NLG
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings
Rapid Adaptation of Neural Machine Translation to New Languages
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
An Iterative Approach to Estimating Frequencies over a Semantic Hierarchy
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
Quick Back-Translation for Unsupervised Machine Translation
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection
Team UMBC-FEVER : Claim verification using Semantic Lexical Resources
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
Multimodal Phased Transformer for Sentiment Analysis
Inverse Reinforcement Learning for Text Summarization
Object-Extraction and Question-Parsing using CCG
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning
DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations
Ask-before-Plan: Proactive Language Agents for Real-World Planning
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models
Interpretable Structure Induction via Sparse Attention
An Evaluation of Parser Robustness for Ungrammatical Sentences
MATE: Multi-view Attention for Table Transformer Efficiency
Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition
Detecting Temporal Ambiguity in Questions
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification
Learning to Abstract with Nonparametric Variational Information Bottleneck
Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition
Gender Inference of Twitter Users in Non-English Contexts
Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text
Mitigating Temporal Misalignment by Discarding Outdated Facts
Mapping probability word problems to executable representations
Predicting the Resolution of Referring Expressions from User Behavior
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
Predicting Clinical Trial Results by Implicit Evidence Integration
A Self-training Framework for Automated Medical Report Generation
Determining Event Outcomes: The Case of #fail
Improved Alignment Models for Statistical Machine Translation
Topic-Guided Abstractive Multi-Document Summarization
Elephant: Sequence Labeling for Word and Sentence Segmentation
Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data
Multi-Granularity Representations of Dialog
A Joint Learning Framework for Restaurant Survival Prediction and Explanation
Empower Nested Boolean Logic via Self-Supervised Curriculum Learning
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
Red Teaming Language Models for Processing Contradictory Dialogues
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
Extending Context Window of Large Language Models from a Distributional Perspective
Efficient Left-to-Right Hierarchical Phrase-Based Translation with Improved Reordering
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Position Engineering: Boosting Large Language Models through Positional Information Manipulation
Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations
V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks
Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model
Does Corpus Quality Really Matter for Low-Resource Languages?
Dual Inference for Improving Language Understanding and Generation
A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task
Name Searching and Information Retrieval
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention
Adversarial Examples for Evaluating Math Word Problem Solvers
Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation
GenKIE: Robust Generative Multimodal Document Key Information Extraction
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
'Fighting' or 'Conflict'? An Approach to Revealing Concepts of Terms in Political Discourse
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model
Entity-Based Evaluation of Political Bias in Automatic Summarization
Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval
Web-Scale Distributional Similarity and Entity Set Expansion
Benchmarking and Improving Text-to-SQL Generation under Ambiguity
Machine translation impact in E-commerce multilingual search
Density-Driven Cross-Lingual Transfer of Dependency Parsers
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
Knowledge Base Completion Meets Transfer Learning
Arabic Named Entity Recognition using Optimized Feature Sets
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Dual Attention Networks for Visual Reference Resolution in Visual Dialog
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems
A Hybrid Model for Morpho-Syntactic Annotation of German with a Large Tagset
Strings over intervals
BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
Contextual Interaction for Argument Post Quality Assessment
Revealing the Dark Secrets of BERT
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding
Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
Beyond Layout Embedding: Layout Attention with Gaussian Biases for Structured Document Understanding
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
Understanding the Value of Features for Coreference Resolution
Multimodal Knowledge Learning for Named Entity Disambiguation
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016
Optimizing Retrieval-augmented Reader Models via Token Elimination
Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison
PropTest: Automatic Property Testing for Improved Visual Programming
Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs
Pedagogical Alignment of Large Language Models
"So You Think You're Funny?": Rating the Humour Quotient in Standup Comedy
AUTOSUMM: Automatic Model Creation for Text Summarization
Improving Query Graph Generation for Complex Question Answering over Knowledge Base
Neural Text Generation from Structured Data with Application to the Biography Domain
Hierarchical Catalogue Generation for Literature Review: A Benchmark
Getting the Structure Right for Word Alignment: LEAF
Improved Decipherment of Homophonic Ciphers
Getting MoRE out of Mixture of Language Model Reasoning Experts
Improving Multi-task Stance Detection with Multi-task Interaction Network
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios
Improving Generative Visual Dialog by Answering Diverse Questions
Mitigating Hallucination in Fictional Character Role-Play
Cross-Domain Sentiment Classification using Semantic Representation
Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition
A Discriminative Model for Tree-to-Tree Translation
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
Targeted Multilingual Adaptation for Low-resource Language Families
Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons
Parallel Iterative Edit Models for Local Sequence Transduction
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
A Resource-light Approach to Russian Morphology: Tagging Russian using Czech resources
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation
Probabilistic Finite State Machines for Regression-based MT Evaluation
Q-TOD: A Query-driven Task-oriented Dialogue System
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
Inducing Terminology for Lexical Acquisition
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task
ARES: A Reading Comprehension Ensembling Service
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
Fact Checking Machine Generated Text with Dependency Trees
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
Shortest-Path Graph Kernels for Document Similarity
WantWords: An Open-source Online Reverse Dictionary System
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
Muli-label Text Categorization with Hidden Components
Towards Concept-Aware Large Language Models
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Unsupervised Discovery of Implicit Gender Bias
Sorting through the noise: Testing robustness of information processing in pre-trained language models
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
Zero-shot User Intent Detection via Capsule Neural Networks
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Dialect-to-Standard Normalization: A Large-Scale Multilingual Evaluation
DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation
Exploiting Attention to Reveal Shortcomings in Memory Models
Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
Control Large Language Models via Divide and Conquer
Attention Is All You Need for Chinese Word Segmentation
Concurrent Acquisition of Word Meaning and Lexical Categories
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Semi-supervised Speech Act Recognition in Emails and Forums
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
Challenges of Using Text Classifiers for Causal Inference
Re-entry Prediction for Online Conversations via Self-Supervised Learning
Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
Bi-directional Attention with Agreement for Dependency Parsing
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge
Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters
Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information