yusuke1997/dblp-id-title huggingface dataset:
NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
Word Re-Embedding via Manifold Dimensionality Retention
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
Enhancing Advanced Visual Reasoning Ability of Large Language Models
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer)
Large language models are few-shot clinical information extractors
Multimodal Automated Fact-Checking: A Survey
Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings
Joint Mention Extraction and Classification with Mention Hypergraphs
Improving Back-Translation with Uncertainty-based Confidence Estimation
Transformers are Multi-State RNNs
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
Asking too much? The rhetorical role of questions in political discourse
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
Divide and Conquer: Legal Concept-guided Criminal Court View Generation
Picking Apart Story Salads
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks
Joint Inference for Knowledge Base Population
Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes
RELLY: Inferring Hypernym Relationships Between Relational Phrases
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
Analyzing Individual Neurons in Pre-trained Language Models
Bridging the Training-Inference Gap for Dense Phrase Retrieval
ExpertEase: A Multi-Agent Framework for Grade-Specific Document Simplification with Large Language Models
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Automatic Discrimination between Inherited and Borrowed Latin Words in Romance Languages
On the Transferability of Visually Grounded PCFGs
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
Enhancing Aspect Term Extraction with Soft Prototypes
Event Ontology Completion with Hierarchical Structure Evolution Networks
Evaluating the Morphosyntactic Well-formedness of Generated Texts
CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
Personalized Recommendation of User Comments via Factor Models
Collocation Extraction Using Monolingual Word Alignment Method
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
KPDROP: Improving Absent Keyphrase Generation
STaCK: Sentence Ordering with Temporal Commonsense Knowledge
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression
Chain and Causal Attention for Efficient Entity Tracking
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents
PROTEGE: Prompt-based Diverse Question Generation from Web Articles
Toxicity in Multilingual Machine Translation at Scale
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations
A Comparison of Criteria for Maximum Entropy/ Minimum Divergence Feature Selection
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
How to Build User Simulators to Train RL-based Dialog Systems
Open-Domain Name Error Detection using a Multi-Task RNN
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
Compressing Context to Enhance Inference Efficiency of Large Language Models
NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval
A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Similarity-Based Reconstruction Loss for Meaning Representation
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Adding High-Precision Links to Wikipedia
Parsing transcripts of speech
Pre-train or Annotate? Domain Adaptation with a Constrained Budget
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
Japanese Zero Reference Resolution Considering Exophora and Author/Reader Mentions
Poisoning Retrieval Corpora by Injecting Adversarial Passages
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
Query-focused Scenario Construction
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Success with Style: Using Writing Style to Predict the Success of Novels
A Bayesian Model for Learning SCFGs with Discontiguous Rules
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data
AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts
RepGraph: Visualising and Analysing Meaning Representation Graphs
Generative Prompt Tuning for Relation Classification
Multi 2 OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting
Jointly Combining Implicit Constraints Improves Temporal Ordering
The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis
Learning Noun Phrase Query Segmentation
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
Hierarchical Text Classification with Reinforced Label Assignment
Learning to Map into a Universal POS Tagset
Cross-Lingual Multi-Hop Knowledge Editing
Converting the Point of View of Message Spoken to Virtual Assistants
Decomposing Complex Queries for Tip-of-the-tongue Retrieval
Eyes Don't Lie: Subjective Hate Annotation and Detection with Gaze
Large-scale Exploration of Neural Relation Classification Architectures
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
A Framework for Comparing Groups of Documents
Classifying Sentences as Speech Acts in Message Board Posts
Representational Analysis of Binding in Language Models
EmbodiedBERT: Cognitively Informed Metaphor Detection Incorporating Sensorimotor Information
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet
Confidence-based Ensembling of Perspective-aware Models
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure
A Maximum Entropy Model for Part-Of-Speech Tagging
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings
MailEx: Email Event and Argument Extraction
CORE: Context-Aware Open Relation Extraction with Factorization Machines
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 - System Demonstrations, Singapore, December 6-10, 2023
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources
An Improved Non-monotonic Transition System for Dependency Parsing
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
BENNERD: A Neural Named Entity Linking System for COVID-19
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents
Measuring Psychological Depth in Language Models
Contextual Rephrase Detection for Reducing Friction in Dialogue Systems
Hello, It's GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
Focus Your Attention (with Adaptive IIR Filters)
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
Better Punctuation Prediction with Dynamic Conditional Random Fields
Unsupervised Domain Adaptation for Joint Information Extraction
Dynamic Knowledge Distillation for Pre-trained Language Models
Studying and Mitigating Biases in Sign Language Understanding Models
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
Handling Noisy Training and Testing Data
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation
Multilingual Simplification of Medical Texts
Guilt by Association: Emotion Intensities in Lexical Representations
A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
StuBot: Learning by Teaching a Conversational Agent Through Machine Reading Comprehension
In-Image Neural Machine Translation with Segmented Pixel Sequence-to-Sequence Model
Processing Comparable Corpora With Bilingual Suffix Trees
Learning Word Relatedness over Time
Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis
Structured Alignment Networks for Matching Sentences
Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation
Effective and Efficient Query-aware Snippet Extraction for Web Search
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
Learning to Extract Structured Entities Using Language Models
Modeling Consensus: Classifier Combination for Word Sense Disambiguation
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction
Zero-Resource Hallucination Prevention for Large Language Models
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
Identifying attack and support argumentative relations using deep learning
A Deep Neural Information Fusion Architecture for Textual Network Embeddings
A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features
CoCQA: Co-Training over Questions and Answers with an Application to Predicting Question Subjectivity Orientation
Sprout: Green Generative AI with Carbon-Efficient LLM Inference
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
A Rule-Based System for Unrestricted Bridging Resolution: Recognizing Bridging Anaphora and Finding Links to Antecedents
SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic Evaluation
Automated Word Stress Detection in Russian
Optimal Beam Search for Machine Translation
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamic Audio-Visual Scenarios
When in Doubt: Improving Classification Performance with Alternating Normalization
Pre-training Mention Representations in Coreference Models
Constraints Based Taxonomic Relation Classification
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
An Imitation Game for Learning Semantic Parsers from User Interaction
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
Transferability of Syntax-Aware Graph Neural Networks in Zero-Shot Cross-Lingual Semantic Role Labeling
Learning Sentiment Memories for Sentiment Modification without Parallel Data
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
Active Learning by Labeling Features
Cost-effective End-to-end Information Extraction for Semi-structured Document Images
Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles
LongHeads: Multi-Head Attention is Secretly a Long Context Processor
Learning to Paraphrase for Question Answering
Improving Unsupervised Question Answering via Summarization-Informed Question Generation
Subword-Delimited Downsampling for Better Character-Level Translation
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
The Infinite PCFG Using Hierarchical Dirichlet Processes
Background Summarization of Event Timelines
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling
Using Unknown Word Techniques to Learn Known Words
GeDi: Generative Discriminator Guided Sequence Generation
Entity based Q&A Retrieval
Probing Representations for Document-level Event Extraction
Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
Learning to refine text based recommendations
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
Generating Dialogue Responses from a Semantic Latent Space
LawBench: Benchmarking Legal Knowledge of Large Language Models
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Adversarial Domain Adaptation for Duplicate Question Detection
AKEW: Assessing Knowledge Editing in the Wild
PyramidCodec: Hierarchical Codec for Long-form Music Generation in Audio Domain
Transfer-Free Data-Efficient Multilingual Slot Labeling
Skill-Based Few-Shot Selection for In-Context Learning
Towards LLM-driven Dialogue State Tracking
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel
VHASR: A Multimodal Speech Recognition System With Vision Hotwords
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
Long Short-Term Memory Neural Networks for Chinese Word Segmentation
WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models
Neural Machine Translation with Source-Side Latent Graph Parsing
Enhancing Automated Essay Scoring Performance via Cohesion Measurement and Combination of Regression and Ranking
Cross-Domain Audio Deepfake Detection: Dataset and Analysis
Sentence Fusion via Dependency Graph Compression
Intriguing Properties of Compression on Multilingual Models
Autoregressive Knowledge Distillation through Imitation Learning
Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
WR-One2Set: Towards Well-Calibrated Keyphrase Generation
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval
A Neural Citation Count Prediction Model based on Peer Review Text
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation
Unsupervised Negation Focus Identification with Word-Topic Graph Model
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data
How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection
Neural Sequence-Labelling Models for Grammatical Error Correction
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network
Modeling Online Discourse with Coupled Distributed Topics
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition
Relevance-assisted Generation for Robust Zero-shot Retrieval
Chargrid: Towards Understanding 2D Documents
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations
Normalized Contrastive Learning for Text-Video Retrieval
Novel Slot Detection With an Incremental Setting
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting
Hierarchical Prompting Assists Large Language Model on Web Navigation
RaFe: Ranking Feedback Improves Query Rewriting for RAG
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
Topic-Regularized Authorship Representation Learning
Semantic Role Labeling with Neural Network Factors
Navigating Connected Memories with a Task-oriented Dialog System
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning
Relation Extraction with Word Graphs from N-grams
Automatically Detecting and Attributing Indirect Quotations
An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-level Event Extraction
Multilingual discriminative lexicalized phrase structure parsing
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
Self-contradictory reasoning evaluation and detection
CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability
Recurrent Continuous Translation Models
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
Exploiting Multiple Sources for Open-Domain Hypernym Discovery
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
Quality Estimation-Assisted Automatic Post-Editing
Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model
Polyglot Prompt: Multilingual Multitask Prompt Training
The Overall Markedness of Discourse Relations
Toward Joint Language Modeling for Speech Units and Text
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity
Dependency parsing with latent refinements of part-of-speech tags
On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Event-Related Bias Removal for Real-time Disaster Events
The Amazing World of Neural Language Generation
On the token distance modeling ability of higher RoPE attention dimension
Pre-training Language Models with Deterministic Factual Knowledge
Improving Speech Translation by Fusing Speech and Text
Contrastive Learning for Inference in Dialogue
Explicit Inductive Inference using Large Language Models
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
Joint Concept Learning and Semantic Parsing from Natural Language Explanations
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
Natural Language Processing with Small Feed-Forward Networks
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation
Improving Faithfulness by Augmenting Negative Summaries from Fake Documents
A Multi-Modal Multilingual Benchmark for Document Image Classification
Lexical Co-occurrence, Statistical Significance, and Word Association
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Automatically Solving Number Word Problems by Semantic Parsing and Reasoning
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification
Adversarial Scrubbing of Demographic Information for Text Classification
Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter
A Method for Building a Commonsense Inference Dataset based on Basic Events
Boosting Natural Language Generation from Instructions with Meta-Learning
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
Joining Forces Pays Off: Multilingual Joint Word Sense Disambiguation
Collective Opinion Target Extraction in Chinese Microblogs
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge
Multi-task Learning for Multilingual Neural Machine Translation
Cross-Lingual Lexical Triggers in Statistical Language Modeling
AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature