yusuke1997/dblp-id-title huggingface dataset:
MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?
Learning Universal Authorship Representations
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
Segmenting Email Message Text into Zones
Topic Intrusion for Automatic Topic Model Evaluation
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing
Learning multiview embeddings for assessing dementia
An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets
Domain adaptive bootstrapping for named entity recognition
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval
CLEAR: Can Language Models Really Understand Causal Graphs?
A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
HUME: Human UCCA-Based Evaluation of Machine Translation
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
Improving Transformer-based Program Repair Model through False Behavior Diagnosis
SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
Learning Adaptive Segmentation Policy for Simultaneous Translation
Explainable Automated Fact-Checking for Public Health Claims
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection
Unsupervised Timeline Generation for Wikipedia History Articles
Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
Subgoal Discovery for Hierarchical Dialogue Policy Learning
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens
CoGen: Learning from Feedback with Coupled Comprehension and Generation
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
A Multi-Persona Chatbot for Hotline Counselor Training
Addressee and Response Selection for Multi-Party Conversation
Self-Distillation with Meta Learning for Knowledge Graph Completion
Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets
Belief Revision: The Adaptability of Large Language Models Reasoning
Narrative Style and the Spread of Health Misinformation on Twitter
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
Detecting Speculations and their Scopes in Scientific Text
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Semantic Novelty Detection in Natural Language Descriptions
Predicting Fine-Tuning Performance with Probing
Robust Retrieval Augmented Generation for Zero-shot Slot Filling
A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Don't Go Far Off: An Empirical Study on Neural Poetry Translation
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
Inserting Information Bottleneck for Attribution in Transformers
Generating Subsequent Reference in Shared Visual Scenes: Computation vs Re-Use
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment
VER: Unifying Verbalizing Entities and Relations
Rethinking Evaluation Methods for Machine Unlearning
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN
BESTCUT: A Graph Algorithm for Coreference Resolution
Adversarial Self-Supervised Data-Free Distillation for Text Classification
Knowledge-based Consistency Testing of Large Language Models
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment
Detecting Dementia from Long Neuropsychological Interviews
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Importance Estimation from Multiple Perspectives for Keyphrase Extraction
Revisiting Machine Translation for Cross-lingual Classification
Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models' Transferability
Story Comprehension for Predicting What Happens Next
Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification
Incubating Text Classifiers Following User Instruction with Nothing but LLM
Predicting Entity Salience in Extremely Short Documents
A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness
Analyzing Human and Machine Performance In Resolving Ambiguous Spoken Sentences
Corpora Evaluation and System Bias detection in Multi Document Summarization
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
On Parsing as Tagging
Large Language Models are Temporal and Causal Reasoners for Video Question Answering
Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing
Iteratively Prompt Pre-trained Language Models for Chain of Thought
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval
Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias
Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants
Improved Transition-Based Parsing and Tagging with Neural Networks
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
A Streaming Approach For Efficient Batched Beam Search
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering
stopes - Modular Machine Translation Pipelines
Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping
Improving Grammatical Error Correction with Machine Translation Pairs
Learning from Task Descriptions
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models
PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification
Knowledge Base Unification via Sense Embeddings and Disambiguation
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Non-Autoregressive Document-Level Machine Translation
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Counterfactual Story Reasoning and Generation
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Revisiting Pre-Trained Models for Chinese Natural Language Processing
LLM Questionnaire Completion for Automatic Psychiatric Assessment
Evaluating Information Content by Factoid Analysis: Human annotation and stability
Unnatural language processing: How do language models handle machine-generated prompts?
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Using Question Answering Rewards to Improve Abstractive Summarization
The Multilingual Amazon Reviews Corpus
Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
C-STS: Conditional Semantic Textual Similarity
Retrieval-Augmented Few-shot Text Classification
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good
COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning
Fluency detection on communication networks
Privacy-preserving Neural Representations of Text
AfriInstruct: Instruction Tuning of African Languages for Diverse Tasks
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
Collaborative Ranking: A Case Study on Entity Linking
JDDC 2.1: A Multimodal Chinese Dialogue Dataset with Joint Tasks of Query Rewriting, Response Generation, Discourse Parsing, and Summarization
WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization
Watermarking LLMs with Weight Quantization
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Semantic Parsing with Relaxed Hybrid Trees
Error Detection for Text-to-SQL Semantic Parsing
Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models
VIPHY: Probing "Visible" Physical Commonsense Knowledge
SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning
Select and Attend: Towards Controllable Content Selection in Text Generation
Cross-topic Argument Mining from Heterogeneous Sources
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
Multilingual Topic Classification in X: Dataset and Analysis
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
Automatic Instruction Evolving for Large Language Models
Russian Stress Prediction using Maximum Entropy Ranking
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
A Technical Question Answering System with Transfer Learning
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction
Neuralizing Regular Expressions for Slot Filling
A Thorough Evaluation of Task-Specific Pretraining for Summarization
Universal Sentence Representation Learning with Conditional Masked Language Model
Stanceosaurus: Classifying Stance Towards Multicultural Misinformation
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments
Mandarin Part-of-Speech Tagging and Discriminative Reranking
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation
A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading
Do Models of Mental Health Based on Social Media Data Generalize?
A Study of Imitation Learning Methods for Semantic Role Labeling
MT2: Towards a Multi-Task Machine Translation Model with Translation-Specific In-Context Learning
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation
Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation
Multi-View Learning: Multilingual and Multi-Representation Entity Typing
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
Dual Decomposition with Many Overlapping Components
Learning the Visualness of Text Using Large Vision-Language Models
Word-Context Character Embeddings for Chinese Word Segmentation
Normal-Abnormal Decoupling Memory for Medical Report Generation
Modularized Transfomer-based Ranking Framework
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
SALTED: A Framework for SAlient Long-tail Translation Error Detection
Prompt2Model: Generating Deployable Models from Natural Language Instructions
Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Lattice-based System Combination for Statistical Machine Translation
Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification
Unbounded Dependency Recovery for Parser Evaluation
On Romanization for Model Transfer Between Scripts in Neural Machine Translation
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning
Chinese Semantic Role Labeling with Shallow Parsing
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
Unsupervised Word Alignment by Agreement Under ITG Constraint
Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
Conversational Semantic Parsing
PP-Attachment: A Committee Machine Approach
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation
Quantifying the Dialect Gap and its Correlates Across Languages
LDM²: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
Effects of Empty Categories on Machine Translation
1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
MSCFFN: A New FFN with Multi-Space Cross to Accelerate Transformer
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
WordTies: Measuring Word Associations in Language Models via Constrained Sampling
PLM-based World Models for Text-based Games
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
Distilling Linguistic Context for Language Model Compression
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields
Semantic Specialization of Distributional Word Vectors
Claim Check-Worthiness Detection as Positive Unlabelled Learning
Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale
Gradient-based Analysis of NLP Models is Manipulable
Exploring Logographic Image for Chinese Aspect-based Sentiment Classification
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
G-DAug: Generative Data Augmentation for Commonsense Reasoning
Cross-Register Projection for Headline Part of Speech Tagging
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
Regular Expression Guided Entity Mention Mining from Noisy Web Data
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs
Tracking the perspectives of interacting language models
Classification of telicity using cross-linguistic annotation projection
MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Memory-augmented Neural Machine Translation
Evaluating Object Hallucination in Large Vision-Language Models
Knowledge Distillation for Bilingual Dictionary Induction
Speech segmentation with a neural encoder model of working memory
The Geometry of Multilingual Language Model Representations
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
Sentiment Analysis using Support Vector Machines with Diverse Information Sources
On the Use of Web Search to Improve Scientific Collections
Learning to Ask for Conversational Machine Learning
Invited Talk: Learning from Rational Behavior
A Joint Sequential and Relational Model for Frame-Semantic Parsing
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers
AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
LongWanjuan: Towards Systematic Measurement for Long Text Quality
TinyBERT: Distilling BERT for Natural Language Understanding
Semantic Role Labeling as Syntactic Dependency Parsing
Multilingual Sentence Transformer as A Multilingual Word Aligner
Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
Streaming Analysis of Discourse Participants
Touch-Based Pre-Post-Editing of Machine Translation Output
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
Associative Multichannel Autoencoder for Multimodal Word Representation
Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing using Language Models
Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4
A Simple Domain-Independent Probabilistic Approach to Generation
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation
Chinese Novelty Mining
Probing sentence embeddings for structure-dependent tense
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification
Investigating Mysteries of CoT-Augmented Distillation
Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization
DocCGen: Document-based Controlled Code Generation
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data
SWAG: Storytelling With Action Guidance
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation
Improving Zero-shot LLM Re-Ranker with Risk Minimization
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
Disentangling Representations of Text by Masking Transformers
Learning a Policy for Opportunistic Active Learning
Does 'well-being' translate on Twitter?
Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks
Joint Bootstrapping of Corpus Annotations and Entity Types
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
Plug and Play Autoencoders for Conditional Text Generation
MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs
Hierarchical Discriminative Classification for Text-Based Geolocation
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation
UNQOVERing Stereotypical Biases via Underspecified Questions
Kernel Methods for Relation Extraction
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates
The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment
Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning
Semantic Simplification for Sentiment Classification
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training
Primacy Effect of ChatGPT
Heterogeneous Graph Neural Networks for Keyphrase Generation
Unsupervised Cross-Lingual Lexical Substitution
Sound of Story: Multi-modal Storytelling with Audio
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
Plan-then-Generate: Controlled Data-to-Text Generation via Planning
AirDialogue: An Environment for Goal-Oriented Dialogue Research
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation
Text Detoxification using Large Pre-trained Neural Models
Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach
Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control
LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Advancing Test-Time Adaptation in Wild Acoustic Test Settings
Smoothing Dialogue States for Open Conversational Machine Reading
Keep Me Updated! Memory Management in Long-term Conversations
Sentiment Analysis of Tweets using Heterogeneous Multi-layer Network Representation and Embedding
Random Forests in Language Modelin
TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering