yusuke1997/dblp-id-title huggingface dataset:
Query Snowball: A Co-occurrence-based Approach to Multi-document Summarization for Question Answering
Efficiently Identifying Watermarked Segments in Mixed-Source Texts
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
Knowledge Distillation for Quality Estimation
Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection
Learning to Insert [PAUSE] Tokens for Better Reasoning
Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
zipfR: Word Frequency Modeling in R
IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction
A Fast, Accurate Deterministic Parser for Chinese
Unsupervised Learning of Narrative Schemas and their Participants
Learning with Limited Text Data
Words and Echoes: Assessing and Mitigating the Non-Randomness Problem in Word Frequency Distribution Modeling
TDCSA: LLM-Guided Top-Down Approach for Robust Citation Sentiment Analysis
Using X-Calculus to Represent Meanings in Logic Grammars
Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles
Detecting Metaphor by Contextual Analogy
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
An Unsupervised Model for Statistically Determining Coordinate Phrase Attachment
Producing Biographical Summaries: Combining Linguistic Knowledge with Corpus Statistics
EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
Compiling Regular Formalisms with Rule Features into Finite-State Automata
Aligning Speech Segments Beyond Pure Semantics
A Computational Linguistic Study of Personal Recovery in Bipolar Disorder
Evaluating Word Embeddings with Categorical Modularity
Unsupervised Word Influencer Networks from News Streams
On the Language Coverage Bias for Neural Machine Translation
Graph-based Semi-Supervised Learning Algorithms for NLP
AdaV: Adaptive Text-visual Redirection for Vision-Language Models
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
Robust Temporal Processing of News
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
Reducing Semantic Drift with Bagging and Distributional Similarity
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
Tracking unbounded Topic Streams
BizBench: A Quantitative Reasoning Benchmark for Business and Finance
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
Predicting the Focus of Negation: Model and Error Analysis
Statistical Machine Translation by Parsing
FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration
Predicting accuracy on large datasets from smaller pilot data
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification
Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat
Bypassing LLM Watermarks with Color-Aware Substitutions
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
Identifying Event-Sentiment Association using Lexical Equivalence and Co-reference Approaches
Relation Extraction Using Label Propagation Based Semi-Supervised Learning
Unsupervised Open-domain Keyphrase Generation
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond
Recyclable Tuning for Continual Pre-training
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, ACL 2019, Florence, Italy, July 28, 2019, Volume 4: Tutorial Abstracts
Chinese Named Entity and Relation Identification System
Improved Source-Channel Models for Chinese Word Segmentation
X-TURING: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents
Quantifier Scope and Constituency
Scaling Laws and Efficient Inference for Ternary Language Models
Paraphrasing Using Given and New Information in a Question-Answer System
Chain of Methodologies: Scaling Test Time Computation without Training
SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media
Detecting annotation noise in automatically labelled data
LocAgent: Graph-Guided LLM Agents for Code Localization
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra
StoryWars: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
Self-Taught Agentic Long Context Understanding
EmpathicStories++: A Multimodal Dataset for Empathy Towards Personal Experiences
SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
Reproducibility in NLP: What Have We Learned from the Checklist?
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
Learning to Play Like Humans: A Framework for LLM Adaptation in Interactive Fiction Games
Term-list Translation using Mono-lingual Word Co-occurence Vectors
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection
Uncertainty Estimation of Transformer Predictions for Misclassification Detection
Explainable Hallucination through Natural Language Inference Mapping
Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking
Similarity Metrics for Aligning Children's Articulation Data
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification
Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics
genCNN: A Convolutional Architecture for Word Sequence Prediction
The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models
Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions
TAGs as a Grammatical Formalism for Generation
CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
Embeddings for Word Sense Disambiguation: An Evaluation Study
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding
Reducing cohort bias in natural language understanding systems with targeted self-training scheme
Flowchart-Based Decision Making with Large Language Models
The Manually Annotated Sub-Corpus: A Community Resource for and by the People
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop
New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron
Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model
R2-MultiOmnia: Leading Multilingual Multimodal Reasoning via Self-Training
Corpus Effects on the Evaluation of Automated Transliteration Systems
Context-Aware Neural Model for Temporal Information Extraction
Cross-Language Text Classification Using Structural Correspondence Learning
Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries
Using Hypernymy Acquisition to Tackle (Part of) Textual Entailment
VLSBench: Unveiling Visual Leakage in Multimodal Safety
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
A New Syntactic Metric for Evaluation of Machine Translation
RealFormer: Transformer Likes Residual Attention
LLM-Enhanced Query Generation and Retrieval Preservation for Task-Oriented Dialogue
Large-Scale Correlation Analysis of Automated Metrics for Topic Models
A Probability Model to Improve Word Alignment
Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm
Data Caricatures: On the Representation of African American Language in Pretraining Corpora
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization
Fine-Grained Tree-to-String Translation Rule Extraction
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting
Parsing as Reduction
Erase and Rewind: Manual Correction of NLP Output through a Web Interface
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
Sentiment Analysis on Naija-Tweets
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Obtaining Faithful Interpretations from Compositional Neural Networks
Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations
Exploring Distributional Similarity Based Models for Query Spelling Correction
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
Automatically Assessing the Post Quality in Online Discussions on Software
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation
LLMCrit: Teaching Large Language Models to Use Criteria
Neural Machine Translation with Phrase-Level Universal Visual Representations
English Multiword Expression-aware Dependency Parsing Including Named Entities
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings
DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction
Mixture of Ordered Scoring Experts for Cross-prompt Essay Trait Scoring
More Identifiable yet Equally Performant Transformers for Text Classification
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
Syntax-based Semi-Supervised Named Entity Tagging
Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
A Robust Information-Masking Approach for Domain Counterfactual Generation
Grammar-Based Patches Generation for Automated Program Repair
Fact-based Text Editing
A Semantic-based Method for Unsupervised Commonsense Question Answering
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework
Universal Information Extraction with Meta-Pretrained Self-Retrieval
Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
LexSym: Compositionality as Lexical Symmetry
Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents
BiSync: A Bilingual Editor for Synchronized Monolingual Texts
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Interpretability for Language Learners Using Example-Based Grammatical Error Correction
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space
First the Worst: Finding Better Gender Translations During Beam Search
On the Computational Complexity of Dominance Links in Grammatical Formalisms
Entity Contrastive Learning in a Large-Scale Virtual Assistant System
Word Alignment for Languages with Scarce Resources
Did Translation Models Get More Robust Without Anyone Even Noticing?
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
FinTextQA: A Dataset for Long-form Financial Question Answering
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
Large Language Models Are Natural Video Popularity Predictors
Better Red Teaming via Searching with Large Language Model
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers
Unsupervised Translation Induction for Chinese Abbreviations using Monolingual Corpora
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
Statistical inference on black-box generative models in the data kernel perspective space
Data Recombination for Neural Semantic Parsing
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step
Negative Lexically Constrained Decoding for Paraphrase Generation
Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
Applications of GPC Rules and Character Structures in Games for Learning Chinese Characters
My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis
TemplateGEC: Improving Grammatical Error Correction with Detection Template
An Interface for Rapid Natural Language Processing Development in UIMA
On the Challenges of Translating NLP Research into Commercial Products
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
Evaluating Very Long-Term Conversational Memory of LLM Agents
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
Pinpointing Diffusion Grid Noise to Enhance Aspect Sentiment Quad Prediction
Sampling-based Pseudo-Likelihood for Membership Inference Attacks
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling
A DQN-based Approach to Finding Precise Evidences for Fact Verification
Towards a discourse relation-aware approach for Chinese-English machine translation
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
Finding Contradictions in Text
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
Unsupervised Transcription of Historical Documents
Natural Language Generation enhances human decision-making with uncertain information
The Rhetorical Parsing of Natural Language Texts
Modelling Lexical Redundancy for Machine Translation
HotFlip: White-Box Adversarial Examples for Text Classification
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
Semantically Smooth Knowledge Graph Embedding
Tackling Sparse Data Issue in Machine Translation Evaluation
Structured Tuning for Semantic Role Labeling
Inferring Activity Time in News through Event Modeling
Neural Legal Judgment Prediction in English
Dynamic Compilation of Weighted Context-Free Grammars
NovelPerspective: Identifying Point of View Characters
Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?
A Unified Generative Framework for Aspect-based Sentiment Analysis
Multimodal Neural Graph Memory Networks for Visual Question Answering
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees
PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
Can Explanations Be Useful for Calibrating Black Box Models?
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
Aspect Extraction with Automated Prior Knowledge Learning
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
QAEval: Mixture of Evaluators for Question-Answering Task Evaluation
HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese
Discriminative Word Alignment with Conditional Random Fields
Knowledge Base Completion via Coupled Path Ranking
Strategy Selection for an ATN Syntactic Parser
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching
Multi-Input Attention for Unsupervised OCR Correction
Exploiting Sentential Context for Neural Machine Translation
Systematic Task Exploration with LLMs: A Study in Citation Text Generation
Constructing Procedural Graphs with Multiple Dependency Relations: A New Dataset and Baseline
HAHAcronym: A Computational Humor System
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Empathy Prediction from Diverse Perspectives
Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
Topic Balancing with Additive Regularization of Topic Models
Better Exploiting Latent Variables in Text Modeling
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
Bootstrapping coreference resolution using word associations
Do Grammatical Error Correction Models Realize Grammatical Generalization?
Efficient Tabular LR Parsing
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent
Knowledge Diffusion for Neural Dialogue Generation
Adversarial Learning for Discourse Rhetorical Structure Parsing
Crowdsourcing Interaction Logs to Understand Text Reuse from the Web
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)
Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions
Clarifying Underspecified Discourse Relations in Instructional Texts
Topical Keyphrase Extraction from Twitter
Constraining MGbank: Agreement, L-Selection and Supertagging in Minimalist Grammars
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering
WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
Simplify the Usage of Lexicon in Chinese NER
An Alternative LR Algorithm for TAGs
Reaping the Benefits of Interactive Syntax and Semantics
Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes
Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems
Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association
MORSE: Semantic-ally Drive-n MORpheme SEgment-er
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Weakly-Supervised Spoken Video Grounding via Semantic Interaction Learning
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
Packing of Feature Structures for Efficient Unification of Disjunctive Feature Structures
An Eclectic Approach to Building Natural Languages Interfaces
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
An Empirical Study of In-context Learning in LLMs for Machine Translation
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues
LMentry: A Language Model Benchmark of Elementary Language Tasks
A Multi-Domain Translation Model Framework for Statistical Machine Translation
Automatic Discovery of Named Entity Variants: Grammar-driven Approaches to Non-Alphabetical Transliterations
SARA: Salience-Aware Reinforced Adaptive Decoding for Large Language Models in Abstractive Summarization
Action Representation for NL Instructions
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
Multilingual Gloss-free Sign Language Translation: Towards Building a Sign Language Foundation Model
Reflection on Knowledge Graph for Large Language Models Reasoning
Don't 'Have a Clue'? Unsupervised Co-Learning of Downward-Entailing Operators
I am a Strange Dataset: Metalinguistic Tests for Language Models
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
KinyaBERT: a Morphology-aware Kinyarwanda Language Model
ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation
Metagent-P: A Neuro-Symbolic Planning Agent with Metacognition for Open Worlds
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain, July 21-26, 2004 - Student Research Workshop
Online Generation of Locality Sensitive Hash Signatures
On Prefix-tuning for Lightweight Out-of-distribution Detection
A Comparison of Techniques to Automatically Identify Complex Words
In-tool Learning for Selective Manual Annotation in Large Corpora
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset