yusuke1997/dblp-id-title huggingface dataset:
Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle
Resolving Pronominal Reference to Abstract Entities
Tailor: Generating and Perturbing Text with Semantic Controls
Coreference Resolution with World Knowledge
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment
Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction
Model-Based Simulation for Optimising Smart Reply
Sentiment Tagging with Partial Labels using Modular Architectures
Analysis of Syntax-Based Pronoun Resolution Methods
Recognizing Implied Predicate-Argument Relationships in Textual Inference
Prospects for Computer-Assisted Dialect Adaption
Constructing Multilingual Code Search Dataset Using Neural Machine Translation
StableMoE: Stable Routing Strategy for Mixture of Experts
Entity-Relation Extraction as Multi-Turn Question Answering
Finding document topics for improving topic segmentation
Machine Translation Detection from Monolingual Web-Text
Self-Attentional Models for Lattice Inputs
Parsing as Deduction
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection
Embedding Learning Through Multilingual Concept Induction
Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem
A Fast Approach for Semantic Similar Short Texts Retrieval
MaskLID: Code-Switching Language Identification through Iterative Masking
Synthetic QA Corpora Generation with Roundtrip Consistency
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
Modularized Interaction Network for Named Entity Recognition
What causes a causal relation? Detecting Causal Triggers in Biomedical Scientific Discourse
Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Evolving New Lexical Association Measures Using Genetic Programming
Fine-Grained Temporal Relation Extraction
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning
Aligning Words in English-Hindi Parallel Corpora
Interpretable Question Answering on Knowledge Bases and Text
Bridging CNNs, RNNs, and Weighted Finite-State Machines
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network
Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers
Neural Entity Recognition with Gazetteer based Fusion
PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset
Parallel Entity and Treebank Annotation
Comparison of Diverse Decoding Methods from Conditional Language Models
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
LaMP: When Large Language Models Meet Personalization
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
Parsing a Free-Word Order Language: Warlpiri
Universal Decompositional Semantic Parsing
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
BATS: BenchmArking Text Simplicity 🦇
Question Condensing Networks for Answer Selection in Community Question Answering
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
Representation Bending for Large Language Model Safety
Extracting Latent Steering Vectors from Pretrained Language Models
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Sheep's Skin, Wolf's Deeds: Are LLMs Ready for Metaphorical Implicit Hate Speech?
Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity
Predicting Power Relations between Participants in Written Dialog from a Single Thread
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
Prompt Optimization via Adversarial In-Context Learning
On the Predictability of Human Assessment: when Matrix Completion Meets NLP Evaluation
Evaluating Dialogue Generation Systems via Response Selection
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models
Training Trajectories of Language Models Across Scales
Generalizing Tree Transformations for Inductive Dependency Parsing
The mathematics of language learning
Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension
Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment
DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words
MIST: Mutual Information Maximization for Short Text Clustering
Attention as Grounding: Exploring Textual and Cross-Modal Attention on Entities and Relations in Language-and-Vision Transformer
Neural Network Alignment for Sentential Paraphrases
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
ETRQA: A Comprehensive Benchmark for Evaluating Event Temporal Reasoning Abilities of Large Language Models
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
Stacked Ensembles of Information Extractors for Knowledge-Base Population
LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding
Local and Global Algorithms for Disambiguation to Wikipedia
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
Dynamic Programming for Linear-Time Incremental Parsing
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers
Robust Lottery Tickets for Pre-trained Language Models
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning
Predictive Combinators: a Method for Efficient Processing of Combinatory Categorial Grammars
A Definite Clause Version of Categorial Grammar
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search
LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models
Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
New Techniques for Context Modeling
Towards Geo-Culturally Grounded LLM Generations
S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems
Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
Improving Factual Consistency of Abstractive Summarization via Question Answering
Improving Personalized Explanation Generation through Visualization
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
An Earley-style Predictive Chart Parsing Method for Lambek Grammars
WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events
From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression?
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
Pseudo-Projective Dependency Parsing
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation
Interpretable Neural Predictions with Differentiable Binary Variables
Experiences with an On-Line Translating Dialogue System
Creating Robust Supervised Classifiers via Web-Scale N-Gram Data
VALUE: Understanding Dialect Disparity in NLU
From Natural Language Specifications to Program Input Parsers
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
Vector Space Model for Adaptation in Statistical Machine Translation
Discontinuous Named Entity Recognition as Maximal Clique Discovery
DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect
Collocation Extraction beyond the Independence Assumption
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
A Graph Approach to Spelling Correction in Domain-Centric Search
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates
Advancing Multi-Criteria Chinese Word Segmentation Through Criterion Classification and Denoising
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
On-The-Fly Information Retrieval Augmentation for Language Models
Few-shot Named Entity Recognition with Self-describing Networks
BRIO: Bringing Order to Abstractive Summarization
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
English Event Detection With Translated Language Features
MoNoise: A Multi-lingual and Easy-to-use Lexical Normalization Tool
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
Self-Disclosure and Relationship Strength in Twitter Conversations
End-to-end Argument Generation System in Debating
Graph- and surface-level sentence chunking
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
BinaryAlign: Word Alignment as Binary Sequence Labeling
Rethinking Masked Language Modeling for Chinese Spelling Correction
Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
High probability or low information? The probability-quality paradox in language generation
Faithful Question Answering with Monte-Carlo Planning
Efficiency, Robustness and Accuracy in Picky Chart Parsing
Selective Prefix Tuning for Pre-trained Language Models
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
Translating Neuralese
Chinese Zero Pronoun Resolution: A Joint Unsupervised Discourse-Aware Model Rivaling State-of-the-Art Resolvers
DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
Grounding 'Grounding' in NLP
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary Study
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System
TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition
Verb Paraphrase based on Case Frame Alignment
A Modal Temporal Logic for Reasoning about Change
A Critical Reassessment of Evaluation Baselines for Speech Summarization
From Route Descriptions to Sketches: A Model for a Text-to-Image Translator
Defaults in Unification Grammar
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
Learning High-Level Planning from Text
Machine Translation without Words through Substring Alignment
Toward Treating English Noniinals Correctly
Hunt for Buried Treasures: Extracting Unclaimed Embodiments from Patent Specifications
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Distilling Calibrated Knowledge for Stance Detection
Clustering Clauses for High-Level Relation Detection: An Information-theoretic Approach
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Nested Named Entity Recognition with Span-level Graphs
An Optimal-Time Binarization Algorithm for Linear Context-Free Rewriting Systems with Fan-Out Two
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion
Unsupervised Paraphrasing without Translation
Semantic Parsing with Structured SVM Ensemble Classification Models
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
A Descriptive Characterization of Tree-Adjoining Languages (Project Note)
A Modular Tool for Automatic Summarization
Towards Debiasing Sentence Representations
Better Filtration and Augmentation for Hierarchical Phrase-Based Translation Rules
Sharing Problems and Solutions for Machine Translation of Spoken and Written Interaction
FLUSH: A Flexible Lexicon Design
Proceedings of the ACL 2016 Student Research Workshop, Berlin, Germany, August 7-12, 2016
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction
Towards Open Environment Intent Prediction
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
How does BERT's attention change when you fine-tune? An analysis methodology and a case study in negation scope
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Language Models Grow Less Humanlike beyond Phase Transition
The Critique of Critique
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification
Statistical Parsing with an Automatically-Extracted Tree Adjoining Grammar
Untangling Text Data Mining
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation
Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
CWSeg: An Efficient and General Approach to Chinese Word Segmentation
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter
Forest-to-String Statistical Translation Rules
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
Discourse: Codes and Clues in Contexts
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
Hierarchical Phrase Table Combination for Machine Translation
End-to-end Aspect-based Sentiment Analysis with Combinatory Categorial Grammar
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
SirLLM: Streaming Infinite Retentive LLM
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance
MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages
Dramatic Conversation Disentanglement
Improved Typesetting Models for Historical OCR
Controllable Style Arithmetic with Language Models
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Exploring Spatial Schema Intuitions in Large Language and Vision Models
DoT: An efficient Double Transformer for NLP tasks with tables
From Arguments to Key Points: Towards Automatic Argument Summarization
MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks
Metrics for Evaluation of Word-level Machine Translation Quality Estimation
Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling
A Generative Lexicon Perspective for Adjectival Modification
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
A Logical Basis for the D Combinator and Normal Form in CCG
Learning to Map Dependency Parses to Abstract Meaning Representations
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks
Morphological Smoothing and Extrapolation of Word Embeddings
Automatic Evaluation Method for Machine Translation Using Noun-Phrase Chunking
Universal Conditional Masked Language Pre-training for Neural Machine Translation
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
Future Prospects for Computational Linguistics
Deploying Part-of-Speech Patterns to Enhance Statistical Phrase-Based Machine Translation Resources
Expressing Disjunctive and Negative Feature Constraints with Classical First-Order Logic
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition
Robust Natural Language Understanding with Residual Attention Debiasing
Composite Kernels For Relation Extraction
Learning Script Knowledge with Web Experiments
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Benchmarking Multi-National Value Alignment for Large Language Models
Learning Job Title Representation from Job Description Aggregation Network
Representing Paraphrases Using Synchronous TAGs
Lightweight reranking for language model generations
A Nonparametric Method for Extraction of Candidate Phrasal Terms
Annotation Schemes and their Influence on Parsing Results
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore
Search and Inference Strategies in Pronoun Resolution: an Experimental Study
Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
Comprehensive Abstractive Comment Summarization with Dynamic Clustering and Chain of Thought
Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD
An Implementation of Combined Partial Parser and Morphosyntactic Disambiguator
Learning Structured Predictors from Bandit Feedback for Interactive NLP
Very Large Lexical Databases
Weakly Supervised Part-of-speech Tagging Using Eye-tracking Data
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
Semantic Ambiguity Detection in Sentence Classification using Task-Specific Embeddings
Language Production: the Source of the Dictionary
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
Using Intermediate Representations to Solve Math Word Problems
Word Segmentation by Separation Inference for East Asian Languages
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework
Words of Warmth: Trust and Sociability Norms for over 26k English Words
C-XNLI: Croatian Extension of XNLI Dataset
Building Deep Dependency Structures using a Wide-Coverage CCG Parser
Compositional Syntactico-SemBanking for English as a Second or Foreign Language
Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages
Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
WizIE: A Best Practices Guided Development Environment for Information Extraction
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
Attributable and Scalable Opinion Summarization
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Exploring Different Preposition Sets, Models and Feature Sets in Automatic Generation of Spatial Image Descriptions
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
An Integrated Framework for Semantic and Pragmatic Interpretation
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment
Better Automatic Treebank Conversion Using A Feature-Based Approach
Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction
Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification
The Second Release of the RASP System
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs
Information Locality as an Inductive Bias for Neural Language Models
YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering
LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation
A Mixture-of-Experts Model for Antonym-Synonym Discrimination
Reasoning Implicit Sentiment with Chain-of-Thought Prompting
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media