yusuke1997/dblp-id-title huggingface dataset:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Iterative GNN-based Decoder for Question Generation
Learning to Adapt to Low-Resource Paraphrase Generation
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems
Visual Elements Mining as Prompts for Instruction Learning for Target-Oriented Multimodal Sentiment Classification
A Semantically Enhanced Approach to Determine Textual Similarity
Reducing Grounded Learning Tasks To Grammatical Inference
Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
Meta-Learning Online Adaptation of Language Models
DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization
PDFTriage: Question Answering over Long, Structured Documents
Syntax-aware Multilingual Semantic Role Labeling
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis
Composed Variational Natural Language Generation for Few-shot Intents
Graph Based Network with Contextualized Representations of Turns in Dialogue
Towards Interpretable Mental Health Analysis with Large Language Models
Detection of Steganographic Techniques on Twitter
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
LiMiT: The Literal Motion in Text Dataset
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing
Cross-Policy Compliance Detection via Question Answering
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
Continued Pretraining for Better Zero- and Few-Shot Promptability
Syntactic Multi-view Learning for Open Information Extraction
Measuring Faithful and Plausible Visual Grounding in VQA
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
Decoding a Neural Retriever's Latent Space for Query Suggestion
Predicting Success in Machine Translation
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages
Prompt-Based Meta-Learning For Few-shot Text Classification
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
Legal Docket Classification: Where Machine Learning Stumbles
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition
Countering Misinformation via Emotional Response Generation
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
Semantic Relatedness Based Re-ranker for Text Spotting
How to Compute the Probability of a Word
Quadapter: Adapter for GPT-2 Quantization
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
Fine-grained Entity Typing via Label Reasoning
Relaxed Cross-lingual Projection of Constituent Syntax
An Alignment-Agnostic Model for Chinese Text Error Correction
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
Social Commonsense Reasoning with Multi-Head Knowledge Attention
Structure-Augmented Keyphrase Generation
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
Unsupervised Statistical Machine Translation
Discourse parsing for multi-party chat dialogues
Natural Language Processing for Achieving Sustainable Development: the Case of Neural Labelling to Enhance Community Profiling
Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds
Ling-CL: Understanding NLP Models through Linguistic Curricula
Measuring Information Propagation in Literary Social Networks
Adapting Sequence Models for Sentence Correction
FactAlign: Long-form Factuality Alignment of Large Language Models
On General Language Understanding
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
Analyzing and Evaluating Faithfulness in Dialogue Summarization
On the Role of Lexical Features in Sequence Labeling
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
Fixing Translation Divergences in Parallel Corpora for Neural MT
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
Leveraging Information Bottleneck for Scientific Document Summarization
Corroborating Text Evaluation Results with Heterogeneous Measures
Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification
Applying Extrasentential Context To Maximum Entropy Based Tagging With A Large Semantic And Syntactic Tagset
Filling the Blanks (hint: plural noun) for Mad Libs Humor
CISLR: Corpus for Indian Sign Language Recognition
Reading to Learn: Constructing Features from Semantic Abstracts
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications
A General-Purpose Tagger with Convolutional Neural Networks
Towards Zero-shot Learning for End-to-end Cross-modal Translation Models
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
AfroLID: A Neural Language Identification Tool for African Languages
Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems
Digital Voicing of Silent Speech
Understanding "Democratization" in NLP and ML Research
Robust Gram Embeddings
MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
A Picture is Worth a Thousand Words: Language Models Plan from Pixels
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics
MiniChain: A Small Library for Coding with Large Language Models
UniHD@CL-SciSumm 2020: Citation Extraction as Search
All You Need is Attention: Lightweight Attention-based Data Augmentation for Text Classification
Controlled Transformation of Text-Attributed Graphs
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Sensicon: An Automatically Constructed Sensorial Lexicon
Reasoning with Language Model is Planning with World Model
Reading Between the Lines: Exploring Infilling in Visual Narratives
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
Word Salad: Relating Food Prices and Descriptions
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
Event-Location Tracking in Narratives: A Case Study on Holocaust Testimonies
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation
Projecting Parameters for Multilingual Word Sense Disambiguation
Neural Deepfake Detection with Factual Structure of Text
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Generating Lexical Analogies Using Dependency Relations
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework
Syntax-Based Grammaticality Improvement using CCG and Guided Search
Mitigating Data Poisoning in Text Classification with Differential Privacy
Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method
Automatic Document Selection for Efficient Encoder Pretraining
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
ALCUNA: Large Language Models Meet New Knowledge
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes
Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning
CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings
Memory-assisted prompt editing to improve GPT-3 after deployment
Improving Author Attribute Prediction by Retrofitting Linguistic Representations with Homophily
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Autoregressive Structured Prediction with Language Models
STEER: Unified Style Transfer with Expert Reinforcement
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
Feature Subsumption for Opinion Analysis
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Dynamic Feature Selection for Dependency Parsing
Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection
Language Model Rest Costs and Space-Efficient Storage
Low Resource Quadratic Forms for Knowledge Graph Embeddings
Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking
We Need to Talk About train-dev-test Splits
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
Eeny, meeny, miny, moe. How to choose data for morphological inflection
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
Measuring Thematic Fit with Distributional Feature Overlap
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse
One-to-Many Communication and Compositionality in Emergent Communication
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
Characterizing Stylistic Elements in Syntactic Structure
On Diversified Preferences of Large Language Model Alignment
Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains
InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem
Exploiting Diversity in Natural Language Processing: Combining Parsers
LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
Teaching Small Language Models Reasoning through Counterfactual Distillation
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Linking Entities to a Knowledge Base with Query Expansion
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Joint Completion and Alignment of Multilingual Knowledge Graphs
Improving LLM Attributions with Randomized Path-Integration
Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
Fusing Eye Gaze with Speech Recognition Hypotheses to Resolve Exophoric References in Situated Dialogue
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation
Tree Kernel-based Negation and Speculation Scope Detection with Structured Syntactic Parse Features
Personalized Emphasis Framing for Persuasive Message Generation
Neural News Recommendation with Heterogeneous User Behavior
Towards Unifying Reference Expression Generation and Comprehension
OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data
Friends with Motives: Using Text to Infer Influence on SCOTUS
Learning General Connotation of Words using Graph-based Algorithms
Natural Language Model Re-usability for Scaling to Different Domains
Improving Consistency for Text Summarization with Energy Functions
End-to-end Neural Coreference Resolution
Better Alignment with Instruction Back-and-Forth Translation
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank
Diversify Question Generation with Retrieval-Augmented Style Transfer
Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations
Working Memory Identifies Reasoning Limits in Language Models
Don't Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation
Representational Isomorphism and Alignment of Multilingual Large Language Models
Definitions Matter: Guiding GPT for Multi-label Classification
Applying Conditional Random Fields to Japanese Morphological Analysis
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
Neural Conversation Recommendation with Online Interaction Modeling
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Distributed Representations for Unsupervised Semantic Role Labeling
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
Seq2seq is All You Need for Coreference Resolution
Semantic Role Labeling of NomBank: A Maximum Entropy Approach
On Event Individuation for Document-Level Information Extraction
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
Question Answering over Linked Data Using First-order Logic
Exploring the Role of Argument Structure in Online Debate Persuasion
The Benefits of Label-Description Training for Zero-Shot Text Classification
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning
SafeText: A Benchmark for Exploring Physical Safety in Language Models
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
PathQG: Neural Question Generation from Facts
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Efficient Sequential Decision Making with Large Language Models
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
How to leverage the multimodal EHR data for better medical prediction?
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Varying Sentence Representations via Condition-Specified Routers
Learning with Instance Bundles for Reading Comprehension
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
Explore Unsupervised Structures in Pretrained Models for Relation Extraction
CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Treebank Annotation Schemes and Parser Evaluation for German
Anchoring and Agreement in Syntactic Annotations
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning
Knowledge Rumination for Pre-trained Language Models
Knowledge Conflicts for LLMs: A Survey
Automatic Evaluation of Translation Quality for Distant Language Pairs
Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
Generating Summaries with Controllable Readability Levels
Semantic graph parsing with recurrent neural network DAG grammars
Aligning Language Models to User Opinions
Examining the Ordering of Rhetorical Strategies in Persuasive Requests
A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations
SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training
A Multi-Modal Knowledge Graph for Classical Chinese Poetry
A Unified Model for Word Sense Representation and Disambiguation
Grounding language acquisition by training semantic parsers using captioned videos
Structured Relation Discovery using Generative Models
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
Detection and Measurement of Syntactic Templates in Generated Text
Explaining Mixtures of Sources in News Articles
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
2008 Conference on Empirical Methods in Natural Language Processing, EMNLP 2008, Proceedings of the Conference, 25-27 October 2008, Honolulu, Hawaii, USA, A meeting of SIGDAT, a Special Interest Group of the ACL
Are Word Embedding-based Features Useful for Sarcasm Detection?
An Empirical Approach to Text Categorization Based on Term Weight Learning
Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages
Optimizing BERT for Unlabeled Text-Based Items Similarity
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
How agents see things: On visual representations in an emergent language game
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention
PRover: Proof Generation for Interpretable Reasoning over Rules
Guided Knowledge Generation with Language Models for Commonsense Reasoning
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism
Aligning Large Language Models with Diverse Political Viewpoints
Online Learning for Deterministic Dependency Parsing
The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction
Generating Media Background Checks for Automated Source Critical Reasoning
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community
Sequence Effects in Crowdsourced Annotations
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Identifying Constant and Unique Relations by using Time-Series Text
At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging
Verbal and Nonverbal Clues for Real-life Deception Detection
Syntactic and Semantic Uniformity for Semantic Parsing and Task-Oriented Dialogue Systems
Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning
A Sequential Model for Multi-Class Classification
Word Etymology as Native Language Interference
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
A Neural Model of Adaptation in Reading
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
Make Templates Smarter: A Template Based Data2Text System Powered by Text Stitch Model
Identifying Physical Object Use in Sentences
Self-Evaluation of Large Language Model based on Glass-box Features
An Insight Extraction System on BioMedical Literature with Deep Neural Networks
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models
Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verification
Lexically Grounded Subword Segmentation
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Learning Concept Abstractness Using Weak Supervision
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
Gradient-based Adversarial Attacks against Text Transformers
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers
What Your Username Says About You
Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation