yusuke1997/dblp-id-title huggingface dataset:
Mixed-Session Conversation with Egocentric Memory
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Max-Margin Parsing
Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
Targeted Syntactic Evaluation of Language Models
Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Why We Need New Evaluation Metrics for NLG
Natural Language Video Localization with Learnable Moment Proposals
Discriminative Neural Sentence Modeling by Tree-Based Convolution
Scalable and Domain-General Abstractive Proposition Segmentation
A Closer Look into Using Large Language Models for Automatic Evaluation
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management
Unsupervised Sentence Enhancement for Automatic Summarization
Detecting Ambiguous Utterances in an Intelligent Assistant
Predicting Prerequisite Relations for Unseen Concepts
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Character-LLM: A Trainable Agent for Role-Playing
Automatic Diacritics Restoration for Hungarian
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism
A Nil-Aware Answer Extraction Framework for Question Answering
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Refocusing on Relevance: Personalization in NLG
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
Thinking Like a Skeptic: Defeasible Inference in Natural Language
HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search
KOAS: Korean Text Offensiveness Analysis System
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
SEGMENT+: Long Text Processing with Short-Context Language Models
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook
Towards Realistic Few-Shot Relation Extraction
Abstract Text Summarization: A Low Resource Challenge
Detecting Propaganda Techniques in Code-Switched Social Media Text
Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
Out-of-Sample Representation Learning for Knowledge Graphs
Improving Compositional Generalization in Semantic Parsing
Evaluating Large Language Models on Controlled Generation Tasks
TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Successive Prompting for Decomposing Complex Questions
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data
Automatic Comma Insertion for Japanese Text Generation
Event Detection with Trigger-Aware Lattice Neural Network
Predicting Dialect Variation in Immigrant Contexts Using Light Verb Constructions
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
One-to-many testing for code generation from (just) natural language
Self-Paced Learning for Neural Machine Translation
Can Transformers Reason in Fragments of Natural Language?
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models
With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
CancerEmo: A Dataset for Fine-Grained Emotion Detection
Towards Grounding of Formulae
Adversarial Removal of Demographic Attributes from Text Data
Simple Customization of Recursive Neural Networks for Semantic Relation Classification
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
Can we teach language models to gloss endangered languages?
How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA
One Thousand and One Pairs: A "novel" challenge for long-context language models
Self-Influence Guided Data Reweighting for Language Model Pre-training
Unsupervised Parsing via Constituency Tests
Text Editing as Imitation Game
Turn-taking phenomena in incremental dialogue systems
Visually Grounded Continual Learning of Compositional Phrases
Visually Grounded Concept Composition
Probing Pretrained Language Models for Lexical Semantics
Phrasetable Smoothing for Statistical Machine Translation
LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
A Computational Cognitive Model of Novel Word Generalization
Hierarchical Recurrent Neural Network for Document Modeling
Scaling Properties of Speech Language Models
Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
Multi-hop Inference for Question-driven Summarization
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding
Using Language Models to Disambiguate Lexical Choices in Translation
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Integrating Transformer and Paraphrase Rules for Sentence Simplification
SLANG: New Concept Comprehension of Large Language Models
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints
Exploiting Deep Representations for Neural Machine Translation
Substance over Style: Document-Level Targeted Content Transfer
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
Contrastive Attention Mechanism for Abstractive Sentence Summarization
Improving Users' Demographic Prediction via the Videos They Talk about
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Efficient Classification of Long Documents via State-Space Models
Joint Learning and Inference for Grammatical Error Correction
Modeling the Relationship between User Comments and Edits in Document Revision
Learning to Correct for QA Reasoning with Black-box LLMs
AutoEQA: Auto-Encoding Questions for Extractive Question Answering
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
R2D2: Robust Data-to-Text with Replacement Detection
Few-shot Natural Language Generation for Task-Oriented Dialog
Using New York Times Picks to Identify Constructive Comments
Juman++: A Morphological Analysis Toolkit for Scriptio Continua
4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees
VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments
NwQM: A neural quality assessment framework for Wikipedia
Classifying Dialogue Acts in One-on-One Live Chats
GDA: Grammar-based Data Augmentation for Text Classification using Slot Information
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding
Learning-based Multi-Sieve Co-reference Resolution with Knowledge
Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
Exploring Graph Pre-training for Aspect-based Sentiment Analysis
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
Shallow Domain Adaptive Embeddings for Sentiment Analysis
Self-Supervised Neural Topic Modeling
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
Inducing Search Keys for Name Filtering
Supervised Seeded Iterated Learning for Interactive Language Learning
Multi-Domain Learning: When Do Domains Matter?
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective
Learning Linear Ordering Problems for Better Translation
Sentence Compression by Deletion with LSTMs
Large Language Models Can Be Contextual Privacy Protection Learners
Multimodal neural pronunciation modeling for spoken languages with logographic origin
Demystifying Verbatim Memorization in Large Language Models
Accelerating Toeplitz Neural Network with Constant-time Inference Complexity
Where Are You? Localization from Embodied Dialog
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Learning Compact Lexicons for CCG Semantic Parsing
The strange geometry of skip-gram with negative sampling
Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification
Constrained Language Models Yield Few-Shot Semantic Parsers
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
Absolute Position Embedding Learns Sinusoid-like Waves for Attention Based on Relative Position
Semi-supervised Chinese Word Segmentation based on Bilingual Information
Can Language Models Recognize Convincing Arguments?
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
WIQA: A dataset for "What if..." reasoning over procedural text
IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
The Linguistic Structure of English Web-Search Queries
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices
Parse, Price and Cut--Delayed Column and Row Generation for Graph Based Parsers
Fine-tuned Language Models are Continual Learners
Semantic Label Smoothing for Sequence to Sequence Problems
Automatically Learning Data Augmentation Policies for Dialogue Tasks
Open Information Extraction via Chunks
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation
Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
Investigating Multilingual Coreference Resolution by Universal Annotations
Linking Named Entities to Any Database
Towards Dynamic Computation Graphs via Sparse Latent Structure
TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy
mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection
Improving Statistical Machine Translation Using Word Sense Disambiguation
Does Putting a Linguist in the Loop Improve NLU Data Collection?
Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation
Point-of-Interest Type Prediction using Text and Images
Reconsidering Sentence-Level Sign Language Translation
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue
Challenges in Context-Aware Neural Machine Translation
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models
Comparing Representations of Semantic Roles for String-To-Tree Decoding
Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning
NeuReduce: Reducing Mixed Boolean-Arithmetic Expressions by Recurrent Neural Network
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting
Byte Pair Encoding is Suboptimal for Language Model Pretraining
Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer
Impact of Co-occurrence on Factual Knowledge of Large Language Models
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Incremental Text Structuring with Online Hierarchical Ranking
LongForm: Effective Instruction Tuning with Reverse Instructions
Dynamic Stance: Modeling Discussions by Labeling the Interactions
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
A Visual Attention Grounding Neural Model for Multimodal Machine Translation
Self-training with Few-shot Rationalization
A Hybrid Approach to Natural Language Web Search
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks
Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
Fine-grained Entity Typing without Knowledge Base
REBEL: Relation Extraction By End-to-end Language generation
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
CLAIR: Evaluating Image Captions with Large Language Models
CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules
Multi-Dimensional Gender Bias Classification
MobileQuant: Mobile-friendly Quantization for On-device Language Models
Globally Coherent Text Generation with Neural Checklist Models
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
Optimizing Entity Resolution in Voice Interfaces: An ASR-Aware Entity Reference Expansion Approach
Effect Generation Based on Causal Reasoning
Iterative Stratified Testing and Measurement for Automated Model Updates
Grammatical Error Correction with Contrastive Learning in Low Error Density Domains
Dependency-based Semantic Role Labeling of PropBank
Disfluency Detection using Auto-Correlational Neural Networks
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
Long-Range Language Modeling with Selective Cache
On the Ability and Limitations of Transformers to Recognize Formal Languages
Forest Reranking through Subtree Ranking
A Learning Approach to Shallow Parsing
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations
Improving Quotation Attribution with Fictional Character Embeddings
Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
Data Selection Curriculum for Abstractive Text Summarization
SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning
Identifying Cognate Sets Across Dictionaries of Related Languages
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models
BioMegatron: Larger Biomedical Domain Language Model
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Multilingual Translation via Grafting Pre-trained Language Models
POSQA: Probe the World Models of LLMs with Size Comparisons
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
Modeling Temporality of Human Intentions by Domain Adaptation
To Annotate or Not? Predicting Performance Drop under Domain Shift
DIRECT: Direct and Indirect Responses in Conversational Text Corpus
A System for Worldwide COVID-19 Information Aggregation
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
Revisiting Automated Evaluation for Long-form Table Question Answering
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue
Argument mining as a multi-hop generative machine reading comprehension task
Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem?
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
Proceedings of the First Workshop on Fact Extraction and VERification, FEVER@EMNLP 2018, Brussels, Belgium, November 1, 2018
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue
Towards Aligning Language Models with Textual Feedback
Unsupervised Bilingual POS Tagging with Markov Random Fields
Global Learning of Labeled Dependency Trees
Contextualizing Language Models for Norms Diverging from Social Majority
"I'd rather just go to bed": Understanding Indirect Answers
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Identifying and Following Expert Investors in Stock Microblogs
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval
Exploring Task Difficulty for Few-Shot Relation Extraction
Improving Embedding-based Large-scale Retrieval via Label Enhancement
BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention
Learning Retrieval Augmentation for Personalized Dialogue Generation
Adversarial Removal of Demographic Attributes Revisited
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
Reasoning about Ambiguous Definite Descriptions
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events
A Cascaded Classification Approach to Semantic Head Recognition
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals
DREAM: Deployment of Recombination and Ensembles in Argument Mining
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Solving Hard Analogy Questions with Relation Embedding Chains
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages
From None to Severe: Predicting Severity in Movie Scripts
A Comprehensive Evaluation of Biomedical Entity-centric Search
Evaluating Gender Bias of LLMs in Making Morality Judgements
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
Position Paper: Data-Centric AI in the Age of Large Language Models
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
Adversarial training for multi-context joint entity and relation extraction
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning
Reward Difference Optimization For Sample Reweighting In Offline RLHF
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Towards Understanding Neural Machine Translation with Word Importance
Factual Error Correction for Abstractive Summarization Models
Context-Aware Interaction Network for Question Matching
Approximate Scalable Bounded Space Sketch for Large Data NLP
Neural-Davidsonian Semantic Proto-role Labeling
LGPSolver - Solving Logic Grid Puzzles Automatically
Efficient Continue Training of Temporal Language Model with Structural Information
Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection
Rationales for Sequential Predictions
EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
Video-Helpful Multimodal Machine Translation
Chunk-based Chinese Spelling Check with Global Optimization