yusuke1997/dblp-id-title huggingface dataset:
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
From Isolates to Families: Using Neural Networks for Automated Language Affiliation
Reordering Constraint Based on Document-Level Context
The CASS Technique for Evaluating the Performance of Argument Mining
The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information
Memorisation versus Generalisation in Pre-trained Language Models
Don't Say No: Jailbreaking LLM by Suppressing Refusal
To Test Machine Comprehension, Start by Defining Comprehension
Studying the Evolution of Scientific Topics and their Relationships
Co-training for Low Resource Scientific Natural Language Inference
Query Segmentation Based on Eigenspace Similarity
ExpBERT: Representation Engineering with Natural Language Explanations
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking
CoLA: Collaborative Low-Rank Adaptation
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
MLQA: Evaluating Cross-lingual Extractive Question Answering
Exploring Discourse Structures for Argument Impact Classification
Active Learning-Based Elicitation for Semi-Supervised Word Alignment
On the Subjectivity of Human Authored Summaries
Accurate and Nuanced Open-QA Evaluation Through Textual Entailment
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph
DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption
Discourse Structure and Computation: Past, Present and Future
Connecting Embeddings for Knowledge Graph Entity Typing
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Semantic Scaffolds for Pseudocode-to-Code Generation
A Hybrid Approach to Word Segmentation and POS Tagging
A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset
Generating Diverse Translations with Sentence Codes
Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization
Extracting Lexical Reference Rules from Wikipedia
An Investigation on The Effectiveness of Employing Topic Modeling Techniques to Provide Topic Awareness For Conversational Agents
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
Topic Modeling with Wasserstein Autoencoders
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
Mamba Knockout for Unraveling Factual Information Flow
Hierarchical Search for Word Alignment
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
Extending the BLEU MT Evaluation Method with Frequency Weightings
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes
Finding Parts in Very Large Corpora
Word Clustering and Disambiguation Based on Co-occurence Data
Semantic Frame Identification with Distributed Word Representations
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization
Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Part-of-Speech Tagging using Conditional Random Fields: Exploiting Sub-Label Dependencies for Improved Accuracy
Automatic Story Segmentation using a Bayesian Decision Framework for Statistical Models of Lexical Chain Features
A Distributional Model of Semantic Context Effects in Lexical Processing
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans
Problems With Domain-Independent Natural Language Database Access Systems
Improving Neural Conversational Models with Entropy-Based Data Filtering
How Do Multilingual Language Models Remember Facts?
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
LongSafety: Evaluating Long-Context Safety of Large Language Models
PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free
Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels
Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data
Calibrating Large Language Models Using Their Generations Only
Towards Reliable Large Audio Language Model
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
Improving Grammatical Error Correction via Contextual Data Augmentation
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
Translating Dialectal Arabic to English
An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation - Avoiding Discrepancies
Concept-aware Data Construction Improves In-context Learning of Language Models
Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection
Grammatical and Ungrammatical Structures in User-Adviser Dialogues= Evidence for Sufficiency of Restricted Languages in Natural Language Interfaces to Advisory Systems
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Generating overspecified referring expressions: the role of discrimination
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
ProgCo: Program Helps Self-Correction of Large Language Models
Downstream Datasets Make Surprisingly Good Pretraining Corpora
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Neighbors Help: Bilingual Unsupervised WSD Using Context
Predicate Argument Structure Analysis Using Transformation Based Learning
Topical Coherence in LDA-based Models through Induced Segmentation
Unsupervised Learning of Dependency Structure for Language Modeling
Sensei: Self-Supervised Sensor Name Segmentation
Knowledge Acquisition from Texts: Using an Automatic Clustering Method Based on Noun-Modifier Relationship
Empowering Language Understanding with Counterfactual Reasoning
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition
Distilling Translations with Visual Awareness
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation
Phran - A Knowledge-Base Natural Language Understander
From RAGS to RICHES: Exploiting the Potential of a Flexible Generation Architecture
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning
Levels of certainty in knowledge-intensive corpora: an initial annotation study
Lifelong Learning of Topics and Domain-Specific Word Embeddings
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
Learning-based Composite Metrics for Improved Caption Evaluation
Hierarchical Transfer Learning for Multi-label Text Classification
Recursive Template-based Frame Generation for Task Oriented Dialog
Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose
Revealing Phonological Similarities between Related Languages from Automatically Generated Parallel Corpora
Multi-Engine Machine Translation Guided by Explicit Word Matching
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
Global Learning of Focused Entailment Graphs
TicTac: Time-aware Supervised Fine-tuning for Automatic Text Dating
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
Semantic Relation-aware Difference Representation Learning for Change Captioning
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
"I Want to Talk About, Again, My Record On Energy ...": Modeling Agendas and Framing in Political Debates and Other Conversations
Structured Learning for Taxonomy Induction with Belief Propagation
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources
CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Co-VQA : Answering by Interactive Sub Question Sequence
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles
A Unified MRC Framework for Named Entity Recognition
Adding Domain Specificity to an MT System
On-the-fly Cross-lingual Masking for Multilingual Pre-training
Sense Embeddings are also Biased - Evaluating Social Biases in Static and Contextualised Sense Embeddings
A Machine Learning Approach to German Pronoun Resolution
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games
Multi-Agent Collaboration via Cross-Team Orchestration
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
A Phrase-Based Statistical Model for SMS Text Normalization
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Learning to Reason from Feedback at Test-Time
Inspecting the concept knowledge graph encoded by modern language models
HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring
Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking
Causal Estimation of Memorisation Profiles
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models
A Common Framework for Syntactic Annotation
Automatic clustering of collocation for detecting practical sense boundary
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
Biomedical text retrieval in languages with a complex morphology
What is the Real Intention behind this Question? Dataset Collection and Intention Classification
Riemannian Optimization for Skip-Gram Negative Sampling
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
Automatic Evaluation of Local Topic Quality
Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description
Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions
Learning to Temporally Order Medical Events in Clinical Text
ACL 2008, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, June 15-20, 2008, Columbus, Ohio, USA, Tutorial Abstracts
Extracting Commonsense Properties from Embeddings with Limited Human Guidance
∞-former: Infinite Memory Transformer
Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores
Optimizing Decomposition for Optimal Claim Verification
Incorporating Graph Information in Transformer-based AMR Parsing
On the Generation of Medical Dialogs for COVID-19
Improving Robustness of Language Models from a Geometry-aware Perspective
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
Investigating Context Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
Automatically Generating Annotator Rationales to Improve Sentiment Classification
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
PPT: Pre-trained Prompt Tuning for Few-shot Learning
On Evaluating and Mitigating Gender Biases in Multilingual Settings
RulE: Knowledge Graph Reasoning with Rule Embedding
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
Adapting a WSJ-Trained Parser to Grammatically Noisy Text
Identifying Cascading Errors using Constraints in Dependency Parsing
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD
Synthetic Pre-Training Tasks for Neural Machine Translation
Partial Parsing from Bitext Projections
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
VADE: Visual Attention Guided Hallucination Detection and Elimination
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
Never Look Back: An Alternative to Centering
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
Enhancing Descriptive Image Captioning with Natural Language Inference
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization
Steering Llama 2 via Contrastive Activation Addition
Proceedings of the First Workshop on Economics and Natural Language Processing, ECONLP@ACL 2018, Melbourne, Australia, July 20, 2018
Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations
Putting Words in Context: LSTM Language Models and Lexical Ambiguity
Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
Neural reality of argument structure constructions
Conundrums in Cross-Prompt Automated Essay Scoring: Making Sense of the State of the Art
Split and Rephrase: Better Evaluation and Stronger Baselines
Graph Propagation based Data Augmentation for Named Entity Recognition
USDC: A Dataset of \underlineUser \underlineStance and \underlineDogmatism in Long \underlineConversations
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks
Completing A Systematic Review in Hours instead of Months with Interactive AI Agents
Requirement Mining in Technical Documents
Web-Scale Features for Full-Scale Parsing
MoE-SLU: Towards ASR-Robust Spoken Language Understanding via Mixture-of-Experts
Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
M-RewardBench: Evaluating Reward Models in Multilingual Settings
Constraint-Based Categorical Grammar
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance
The Unstoppable Rise of Computational Linguistics in Deep Learning
DeepPavlov Dream: Platform for Building Generative AI Assistants
OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction
Intention-Based Segmentation: Human Reliability and Correlation with Linguistic Cues
BertGCN: Transductive Text Classification by Combining GNN and BERT
Content Word Aware Neural Machine Translation
Language Diversity: Visible to Humans, Exploitable by Machines
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, NeSp-NLP@ACL 2010, Uppsala, Sweden, July 10, 2010
IMoJIE: Iterative Memory-Based Joint Open Information Extraction
Neuron-Level Sequential Editing for Large Language Models
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue
Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress
A Discriminative Graph-Based Parser for the Abstract Meaning Representation
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment
An Unsupervised Alignment Algorithm for Text Simplification Corpus Construction
WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering
Bridging SMT and TM with Translation Recommendation
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models
Ontology Population from Textual Mentions: Task Definition and Benchmark
taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades
A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding
Spontaneous Speech Understanding for Robust Multi-Modal Human-Robot Communication
Choosing the Word Most Typical in Context Using a Lexical Co-Occurrence Network
Learning to Imagine: Visually-Augmented Natural Language Generation
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought
Incorporating Domain Knowledge into Materials Tokenization
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model
Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi
Accurate SHRG-Based Semantic Parsing
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora
19th Annual Meeting of the Association for Computational Linguistics, Stanford University, Stanford, California, USA, June 29 - July 1, 1981
Prompt-Based Metric Learning for Few-Shot NER
Transition-based Dependency DAG Parsing Using Dynamic Oracles
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
Brutus: A Semantic Role Labeling System Incorporating CCG, CFG, and Dependency Features
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
Evaluating a City Exploration Dialogue System with Integrated Question-Answering and Pedestrian Navigation
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement
Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages
Recognizing Salient Entities in Shopping Queries
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
RST Discourse Parsing with Second-Stage EDU-Level Pre-training
WARP: Word-level Adversarial ReProgramming
ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing
LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation
Machine Translation with Grammar Association: Some Improvements and the Loco_C Model
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
The Role of Global and Local Context in Named Entity Recognition
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives
Context versus Prior Knowledge in Language Models
Transforming Projective Bilexical Dependency Grammars into efficiently-parsable CFGs with Unfold-Fold
CoDesc: A Large Code-Description Parallel Dataset
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis
Token Dropping for Efficient BERT Pretraining
Machine Translation into Low-resource Language Varieties
Leveraging FrameNet to Improve Automatic Event Detection
Extracting bilingual terminologies from comparable corpora
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
Investigating Memorization of Conspiracy Theories in Text Generation
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning
Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning
Robust Utility-Preserving Text Anonymization Based on Large Language Models
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
From Complexity to Clarity: AI/NLP's Role in Regulatory Compliance
Supervised Grammar Induction using Training Data with Limited Constituent Information
Hidden Markov Tree Model in Dependency-based Machine Translation
Spelling Correction Using Context
Inducing Frame Semantic Verb Classes from WordNet and LDOCE
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor
Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions
Composing Distributed Representations of Relational Patterns
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
Towards more equitable question answering systems: How much more data do you need?
AI 'News' Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian
Lexical Transfer Using a Vector-Space Model
Interleaving Syntax and Semantics in an Effecient Bottom-Up Parser
Morphological Disambiguation by Voting Constraints
GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Automatically Identifying Complaints in Social Media
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
Consistency Training by Synthetic Question Generation for Conversational Question Answering
RaDA: Retrieval-augmented Web Agent Planning with LLMs
Text Categorization as a Graph Classification Problem