yusuke1997/dblp-id-title huggingface dataset:
Re-examining the Role of Schema Linking in Text-to-SQL
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
Automatic classification of citation function
Semi-Markov Phrase-Based Monolingual Alignment
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning
Topic-Driven Multi-Document Summarization with Encyclopedic Knowledge and Spreading Activation
Recursive Context-Aware Lexical Simplification
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency
We Need to Talk About Reproducibility in NLP Model Comparison
An Information-Theoretic Characterization of Morphological Fusion
Learning to Plan by Updating Natural Language
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
Surprisal Predicts Code-Switching in Chinese-English Bilingual Text
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification
Unsupervised Non-transferable Text Classification
Unsupervised Induction of Cross-Lingual Semantic Relations
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
NarrativeXL: a Large-scale Dataset for Long-Term Memory Models
Transformer-based Model for Single Documents Neural Summarization
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
Automatically Identifying the Arguments of Discourse Connectives
Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger
Predicting Discourse Structure using Distant Supervision from Sentiment
FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition
QA-NatVer: Question Answering for Natural Logic-based Fact Verification
Latent Document Re-Ranking
Syntax-Aware Retrieval Augmented Code Generation
Navigating Hallucinations for Reasoning of Unintentional Activities
Word Order Matters When You Increase Masking
A Query-Parallel Machine Reading Comprehension Framework for Low-resource NER
Answering questions by learning to rank - Learning to rank by answering questions
Extending Phrase Grounding with Pronouns in Visual Dialogues
Experimenting with Power Divergences for Language Modeling
Domain adapted machine translation: What does catastrophic forgetting forget and why?
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Narrative Embedding: Re-Contextualization Through Attention
Learning to Ground Visual Objects for Visual Dialog
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
Cheap Translation for Cross-Lingual Named Entity Recognition
PepRec: Progressive Enhancement of Prompting for Recommendation
Query-based Image Captioning from Multi-context 360cdegree Images
MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention
Multi-view Story Characterization from Movie Plot Synopses and Reviews
Quantifying the Contextualization of Word Representations with Semantic Class Probing
Learning to Use Tools via Cooperative and Interactive Agents
Execution-Based Evaluation for Open-Domain Code Generation
Should We Ban English NLP for a Year?
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition
Efficient Adversarial Training with Robust Early-Bird Tickets
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
Can LLMs Facilitate Interpretation of Pre-trained Language Models?
Probabilistic models of similarity in syntactic context
Encoding Spreadsheets for Large Language Models
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base
Length Does Matter: Summary Length can Bias Summarization Metrics
Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation
Aligning context-based statistical models of language with brain activity during reading
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning
Robust Text Classification: Analyzing Prototype-Based Networks
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
Effective Use of Transformer Networks for Entity Tracking
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Textual Dataset Distillation via Language Model Embedding
Joint Optimization for Machine Translation System Combination
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
Multi-Step Inference for Reasoning Over Paragraphs
Supervised Distributional Hypernym Discovery via Domain Adaptation
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation
arXivEdits: Understanding the Human Revision Process in Scientific Writing
Reading The Web with Learned Syntactic-Semantic Inference Rules
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
VISTA: Visual-Textual Knowledge Graph Representation Learning
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
Semantically Driven Sentence Fusion: Modeling and Evaluation
Re-training Monolingual Parser Bilingually for Syntactic SMT
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding
SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
Comparing Edge-based and Node-based Methods on a Citation Prediction Task
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis
Imitation Learning for Neural Morphological String Transduction
Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials
Neural Paraphrase Identification of Questions with Noisy Pretraining
Online topic model for Twitter considering dynamics of user interests and topic trends
Language Clustering for Multilingual Named Entity Recognition
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Large Margin Synchronous Generation and its Application to Sentence Compression
Antecedent Selection Techniques for High-Recall Coreference Resolution
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
Learning Methods for Combining Linguistic Indicators to Classify Verbs
Emptying the Ocean with a Spoon: Should We Edit Models?
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars
Large Language Models are Limited in Out-of-Context Knowledge Reasoning
BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla Lemmatizer
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems
Question Answering as Programming for Solving Time-Sensitive Questions
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations
A Diffusion Weighted Graph Framework for New Intent Discovery
Constraint-based Learning of Phonological Processes
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
Sentence Bottleneck Autoencoders from Transformer Language Models
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features
Interpreting Predictions of NLP Models
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems
Pruning Multilingual Large Language Models for Multilingual Inference
Data Collection and End-to-End Learning for Conversational AI
Validity Assessment of Legal Will Statements as Natural Language Inference
End-to-End Information Extraction without Token-Level Supervision
Improved Automatic Keyword Extraction Given More Linguistic Knowledge
Why Doesn't Natural Language Come Naturally?
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
Splitting Noun Compounds via Monolingual and Bilingual Paraphrasing: A Study on Japanese Katakana Words
Discriminative Sample Selection for Statistical Machine Translation
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
Automatic Detection and Classification of Social Events
A Challenge Set and Methods for Noun-Verb Ambiguity
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge
Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment
Uncovering the Limits of Text-based Emotion Detection
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval
Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
Merely Judging Metaphor is Not Enough: Research on Reasonable Metaphor Detection
Semi-Supervised Semantic Role Labeling with Cross-View Training
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
Controlling Machine Translation for Multiple Attributes with Additive Interventions
Improving Text Understanding via Deep Syntax-Semantics Communication
Neural Ranking Models for Temporal Dependency Structure Parsing
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
Autoregressive Text Generation Beyond Feedback Loops
Understanding Social Media Cross-Modality Discourse in Linguistic Space
Few-Shot Learning for Opinion Summarization
Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates
Conditional Supervised Contrastive Learning for Fair Text Classification
HEGEL: Hypergraph Transformer for Long Document Summarization
Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval
Multi-Level Cross-Modal Alignment for Speech Relation Extraction
Plug-and-Play Conversational Models
Retrieval-Based Neural Code Generation
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations
Creative Problem Solving in Large Language and Vision Models - What Would it Take?
Any-language frame-semantic parsing
Joey NMT: A Minimalist NMT Toolkit for Novices
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading
Antecedent Selection for Sluicing: Structure and Content
Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions
The Labeled Segmentation of Printed Books
INDUS: Effective and Efficient Language Models for Scientific Applications
Deconvolutional time series regression: A technique for modeling temporally diffuse effects
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
A surprisal-duration trade-off across and within the world's languages
Creating Causal Embeddings for Question Answering with Minimal Supervision
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation
Learning and Analyzing Generation Order for Undirected Sequence Models
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation
Hallucination Detection for Grounded Instruction Generation
An Embedding Model for Predicting Roll-Call Votes
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Denoising Relation Extraction from Document-level Distant Supervision
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks
BERT-QE: Contextualized Query Expansion for Document Re-ranking
CogCompTime: A Tool for Understanding Time in Natural Language
Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
Better Summarization Evaluation with Word Embeddings for ROUGE
Tending Towards Stability: Convergence Challenges in Small Language Models
Improving generalization in large langue model by learning prefix subspaces
Cross-Thought for Sentence Encoder Pre-training
Learning Compact Metrics for MT
Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning
Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art
New Protocols and Negative Results for Textual Entailment Data Collection
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
Geographical Erasure in Language Generation
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization
Local Additivity Based Data Augmentation for Semi-supervised NER
LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems
IM⌃2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Neural Headline Generation on Abstract Meaning Representation
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Faithful Knowledge Graph Explanations in Commonsense Question Answering
Multi-Fact Correction in Abstractive Text Summarization
Measuring Prerequisite Relations Among Concepts
Semi-Structured Object Sequence Encoders
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing
Interactive Abstractive Summarization for Event News Tweets
Video Dialog via Progressive Inference and Cross-Transformer
Modularized Syntactic Neural Networks for Sentence Classification
Contrastive Explanations for Model Interpretability
Identifying Semantically Deviating Outlier Documents
Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation
Simulating Early-Termination Search for Verbose Spoken Queries
Reverse-Engineering the Reader
Single Training Dimension Selection for Word Embedding with PCA
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
A Diagnostic Study of Explainability Techniques for Text Classification
Bootstrapping Lexical Choice via Multiple-Sequence Alignment
Adversarial Text Generation by Search and Learning
STANCY: Stance Classification Based on Consistency Cues
Lexical Differences in Autobiographical Narratives from Schizophrenic Patients and Healthy Controls
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
Detecting Subject Boundaries Within Text: A Language Independent Statistical Approach
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings
Character-level Analysis of Semi-Structured Documents for Set Expansion
Modeling Preconditions in Text with a Crowd-sourced Dataset
Deciphering Related Languages
Equation Parsing : Mapping Sentences to Grounded Equations
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models
LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
Fully Lexicalising CCGbank with Hat Categories
Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
Multi-view Response Selection for Human-Computer Conversation
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
Do Language Models Understand Measurements?
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
Grafting Pre-trained Models for Multimodal Headline Generation
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool
Profile Consistency Identification for Open-domain Dialogue Agents
A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing
Forced Derivation Tree based Model Training to Statistical Machine Translation
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Automatic Pronunciation Assessment - A Review
Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning
Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy Supervision
KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships
Stochastic Fine-Tuning of Language Models Using Masked Gradients
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation
A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
Investigating the Personality Consistency in Quantized Role-Playing Dialogue Agents
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models
Detection of Language (Model) Errors
Order of Magnitude Speedups for LLM Membership Inference
Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
A temporal model of text periodicities using Gaussian Processes
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality
Domain Adaptive Text Style Transfer
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Adversarial Attack and Defense of Structured Prediction Models
A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution
VIBE: Topic-Driven Temporal Adaptation for Twitter Classification
Pairwise Supervised Contrastive Learning of Sentence Representations
Agent Assist through Conversation Analysis
PAIGE: Personalized Adaptive Interactions Graph Encoder for Query Rewriting in Dialogue Systems
Proceedings of the Workshop on Textual Entailment, TextInfer@EMNLP 2011, Edinburgh, UK, July 30, 2011
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
Making Information Seeking Easier: An Improved Pipeline for Conversational Search
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence
Do "English" Named Entity Recognizers Work Well on Global Englishes?
Retrieving Multimodal Information for Augmented Generation: A Survey
ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool
OpenCQA: Open-ended Question Answering with Charts
Large Dual Encoders Are Generalizable Retrievers
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Paraphrasing with Large Language Models
Document-level Entity-based Extraction as Template Generation
SedarEval: Automated Evaluation using Self-Adaptive Rubrics
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues