yusuke1997/dblp-id-title huggingface dataset:
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
Incremental Skip-gram Model with Negative Sampling
Learning Scalar Adjective Intensity from Paraphrases
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
Linguistically Motivated Sign Language Segmentation
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism
Joint Inference for Bilingual Semantic Role Labeling
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
On Measuring the Intrinsic Few-Shot Hardness of Datasets
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
Explain-then-translate: an analysis on improving program translation with self-generated explanations
Dependency Language Models for Sentence Completion
Coordinated Topic Modeling
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
Lexical Entrainment for Conversational Systems
LLM4Decompile: Decompiling Binary Code with Large Language Models
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
Asking It All: Generating Contextualized Questions for any Semantic Role
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
DeepPaperComposer: A Simple Solution for Training Data Preparation for Parsing Research Papers
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Discrete and Soft Prompting for Multilingual Models
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
Modeling Content Importance for Summarization with Pre-trained Language Models
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars
MetaReflection: Learning Instructions for Language Agents using Past Reflections
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
Cross-lingual Decompositional Semantic Parsing
Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation
GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing
Learning Translations via Matrix Completion
Frustratingly Hard Domain Adaptation for Dependency Parsing
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
Towards Mitigating LLM Hallucination via Self Reflection
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
Using Argument-based Features to Predict and Analyse Review Helpfulness
Focus-Constrained Attention Mechanism for CVAE-based Response Generation
Revisiting Tri-training of Dependency Parsers
Question-type Driven Question Generation
Enhancing Mention Detection Using Projection via Aligned Corpora
Natural Language Questions for the Web of Data
In-Context Compositional Generalization for Large Vision-Language Models
CAPE: Context-Aware Private Embeddings for Private Language Learning
Better Document-level Sentiment Analysis from RST Discourse Parsing
Learning the Scope of Negation in Biomedical Texts
Temporally Grounding Natural Sentence in Video
What can we learn from Semantic Tagging?
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues
Dynamic Low-rank Estimation for Transformer-based Language Models
Class Name Guided Out-of-Scope Intent Classification
Learning Timeline Difference for Text Categorization
Computational Meme Understanding: A Survey
Learning Neural Templates for Recommender Dialogue System
Hierarchical System Combination for Machine Translation
What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation
Term Set Expansion based NLP Architect by Intel AI Lab
Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping
Knowledge Base Inference using Bridging Entities
Information Extraction Using the Structured Language Model
HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System
Exploring Semantic Representation in Brain Activity Using Word Embeddings
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets
Identifying Domain Adjacent Instances for Semantic Parsers
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning
On Tree-Based Neural Sentence Modeling
QUINT: Interpretable Question Answering over Knowledge Bases
Tracing Semantic Variation in Slang
Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can't See What I Mean
Graphine: A Dataset for Graph-aware Terminology Definition Generation
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
Improving Question Generation with Multi-level Content Planning
Probabilistic Models of Nonprojective Dependency Trees
MAVEN: A Massive General Domain Event Detection Dataset
GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation
PEDANTS: Cheap but Effective and Interpretable Answer Equivalence
Two graph-based algorithms for state-of-the-art WSD
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data
Towards Agile Text Classifiers for Everyone
Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
The role of context in neural pitch accent detection in English
Controlling Pre-trained Language Models for Grade-Specific Text Simplification
Why Does New Knowledge Create Messy Ripple Effects in LLMs?
RoBERT2VecTM: A Novel Approach for Topic Extraction in Islamic Studies
NERvous About My Health: Constructing a Bengali Medical Named Entity Recognition Dataset
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection
Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
Logical Fallacy Detection
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering
Will LLMs Sink or Swim? Exploring Decision-Making Under Pressure
Abstractive Multi-document Summarization with Semantic Information Extraction
Personalized Machine Translation: Predicting Translational Preferences
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
Improving fast_align by Reordering
Correcting Semantic Collocation Errors with L1-induced Paraphrases
Target Conditioning for One-to-Many Generation
SQuAD: 100, 000+ Questions for Machine Comprehension of Text
What Have We Achieved on Text Summarization?
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation
Zero-shot Relation Classification as Textual Entailment
An AMR Aligner Tuned by Transition-based Parser
An Improved Neural Baseline for Temporal Relation Extraction
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples
Cross-Lingual Training of Neural Models for Document Ranking
On Evaluation of Bangla Word Analogies
Matching-oriented Embedding Quantization For Ad-hoc Retrieval
A Utility Model of Authors in the Scientific Community
Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models
Syntactic Decision Tree LMs: Random Selection or Intelligent Design?
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation
Neural News Recommendation with Multi-Head Self-Attention
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
Event Extraction as Multi-turn Question Answering
On the Branching Bias of Syntax Extracted from Pre-trained Language Models
A Unified Model for Topics, Events and Users on Twitter
StreamHover: Livestream Transcript Summarization and Annotation
Uncertainty in Language Models: Assessment through Rank-Calibration
A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model
Modelling Stopping Criteria for Search Results using Poisson Processes
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
Characterizing Mechanisms for Factual Recall in Language Models
Higher-order Comparisons of Sentence Encoder Representations
Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
Language Transfer Hypotheses with Linear SVM Weights
Distilling Relation Embeddings from Pretrained Language Models
Identifying Multiple Userids of the Same Author
Identifying Event-related Bursts via Social Media Activities
Press Freedom Monitor: Detection of Reported Press and Media Freedom Violations in Twitter and News Articles
Towards Improving Adversarial Training of NLP Models
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction
Deploying Unified BERT Moderation Model for E-Commerce Reviews
Cross-document Event Coreference Resolution based on Cross-media Features
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages
Multimodal Subjectivity Analysis of Multiparty Conversation
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
Unsupervised Tokenization Learning
Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Regularizing Dialogue Generation by Imitating Implicit Scenarios
DUnE: Dataset for Unified Editing
Recycling a Pre-trained BERT Encoder for Neural Machine Translation
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
Measuring bias in Instruction-Following models with P-AT
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish
Statistical Power and Translationese in Machine Translation Evaluation
Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact
EU DisinfoTest: a Benchmark for Evaluating Language Models' Ability to Detect Disinformation Narratives
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
Transformer-based Live Update Generation for Soccer Matches from Microblog Posts
Scaling Systematic Literature Reviews with Machine Learning Pipelines
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
Thumbs up? Sentiment Classification using Machine Learning Techniques
Compressive Summarization with Plausibility and Salience Modeling
Adversarial Subword Regularization for Robust Neural Machine Translation
NITE: A Neural Inductive Teaching Framework for Domain Specific NER
A Study of Implicit Ranking Unfairness in Large Language Models
Clinical Contradiction Detection
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
Attention Optimization for Abstractive Document Summarization
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction
Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles
Semantic Parsing on Freebase from Question-Answer Pairs
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models
Automatic Reconstruction of Ancient Chinese Pronunciations
Measuring the Mixing of Contextual Information in the Transformer
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis
Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model
FAME: Towards Factual Multi-Task Model Editing
A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing
Hierarchical Region Learning for Nested Named Entity Recognition
Joint Multilingual Knowledge Graph Completion and Alignment
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions
A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval
Joint prediction in MST-style discourse parsing for argumentation mining
Improving Gender Classification of Blog Authors
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
A Computational Exploration of Pejorative Language in Social Media
Fast and Accurate Misspelling Correction in Large Corpora
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts
Pragmatic Norms Are All You Need - Why The Symbol Grounding Problem Does Not Apply to LLMs
Learning with Rejection for Abstractive Text Summarization
Shallow-to-Deep Training for Neural Machine Translation
SLOG: A Structural Generalization Benchmark for Semantic Parsing
Fast Large-Scale Approximate Graph Construction for NLP
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection
TOOLVERIFIER: Generalization to New Tools via Self-Verification
Generating Personalized Recipes from Historical User Preferences
Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Discontinuous Constituent Parsing as Sequence Labeling
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models
Staying on Topic: An Indicator of Power in Political Debates
A Graph-based Approach for Contextual Text Normalization
Tensor Fusion Network for Multimodal Sentiment Analysis
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Baked-in State Probing
MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
How Large Language Models are Transforming Machine-Paraphrase Plagiarism
DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
Are Compressed Language Models Less Subgroup Robust?
Paraphrase Generation with Deep Reinforcement Learning
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information
The Devil in Linear Transformer
CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
Exploring Markov Logic Networks for Question Answering
Global Bootstrapping Neural Network for Entity Set Expansion
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
Active Learning by Acquiring Contrastive Examples
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing
Revisiting Catastrophic Forgetting in Large Language Model Tuning
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
Aspect-based Sentiment Analysis in Question Answering Forums
Event Extraction as Machine Reading Comprehension
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
On the Influence of Masking Policies in Intermediate Pre-training
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Predicting Anti-Asian Hateful Users on Twitter during COVID-19
Stop Measuring Calibration When Humans Disagree
A Notion of Complexity for Theory of Mind via Discrete World Models
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
Improving Referring Ability for Biomedical Language Models
Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations
LOCR: Location-Guided Transformer for Optical Character Recognition
Detecting Content-Heavy Sentences: A Cross-Language Case Study
Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
MinIE: Minimizing Facts in Open Information Extraction
Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
SMT Helps Bitext Dependency Parsing
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
Title Generation with Quasi-Synchronous Grammar
User Demographics and Language in an Implicit Social Network
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
A Language Model-based Generative Classifier for Sentence-level Discourse Parsing
Efficient Vision-Language pre-training via domain-specific learning for human activities
"I Never Said That": A dataset, taxonomy and baselines on response clarity classification
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection
Enhancing Alignment using Curriculum Learning & Ranked Preferences
Out-of-domain Detection based on Generative Adversarial Network
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
Embedding Multimodal Relational Data for Knowledge Base Completion
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction
Multilingual Lottery Tickets to Pretrain Language Models
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic
Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling
Identification and Verification of Simple Claims about Statistical Properties
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
Cross-Lingual Leveled Reading Based on Language-Invariant Features
Hate-Speech and Offensive Language Detection in Roman Urdu
Semi-supervised Adversarial Text Generation based on Seq2Seq models
Multi Document Summarization Evaluation in the Presence of Damaging Content
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation