yusuke1997/dblp-id-title huggingface dataset:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions
FLIRT: Feedback Loop In-context Red Teaming
Identifying Web Search Query Reformulation using Concept based Matching
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
Entities as Experts: Sparse Memory Access with Entity Supervision
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content
Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Systems
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce
NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
A Survey of Computational Framing Analysis Approaches
Word-Conditioned 3D American Sign Language Motion Generation
A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Data and Representation for Turkish Natural Language Inference
Sieve-Based Spatial Relation Extraction with Expanding Parse Trees
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts
Angel: Enterprise Search System for the Non-Profit Industry
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt
Knowledge Association with Hyperbolic Knowledge Graph Embeddings
Gender and Power: How Gender and Gender Environment Affect Manifestations of Power
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
VLIS: Unimodal Language Models Guide Multimodal Language Generation
Dependency-based Discourse Parser for Single-Document Summarization
A Comparison of Vector-based Representations for Semantic Composition
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation
InsightPilot: An LLM-Empowered Automated Data Exploration System
Systematic Evaluation of Long-Context LLMs on Financial Concepts
Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network
Regularization techniques for fine-tuning in neural machine translation
Recovering Missing Characters in Old Hawaiian Writing
Glove: Global Vectors for Word Representation
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Relational Inference for Wikification
Discourse-Based Sentence Splitting
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Alignment-Based Compositional Semantics for Instruction Following
A Statistical Model for Parsing and Word-Sense Disambiguation
Time-Considerable Dialogue Models via Reranking by Time Dependency
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
Service-oriented Text-to-SQL Parsing
The PEACE-Reviews dataset: Modeling Cognitive Appraisals in Emotion Text Analysis
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer
Privacy Implications of Retrieval-Based Language Models
End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling
What's Happened Since the First SIGDAT Meeting?
Effectively pretraining a speech translation decoder with Machine Translation data
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Interpretable Entity Representations through Large-Scale Typing
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings
Interpreting Open-Domain Modifiers: Decomposition of Wikipedia Categories into Disambiguated Property-Value Pairs
Addressing the Length Bias Challenge in Document-Level Neural Machine Translation
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
Probing for Constituency Structure in Neural Language Models
Pseudo-Relevance for Enhancing Document Representation
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods
A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems
Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context
Triplet Lexicon Models for Statistical Machine Translation
Simple, Scalable Adaptation for Neural Machine Translation
Importance weighting and unsupervised domain adaptation of POS taggers: a negative result
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
On Homophony and Rényi Entropy
Towards Label-Agnostic Emotion Embeddings
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations
Empty Category Detection using Path Features and Distributed Case Frames
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Language Concept Erasure for Language-invariant Dense Retrieval
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction
Dual Process Masking for Dialogue Act Recognition
Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation
EMNLP versus ACL: Analyzing NLP research over time
LittleBird: Efficient Faster & Longer Transformer for Question Answering
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
Pareto Probing: Trading Off Accuracy for Complexity
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models
Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives
Improving NLP through Marginalization of Hidden Syntactic Structure
A Logic-Driven Framework for Consistency of Neural Models
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
Systematicity in GPT-3's Interpretation of Novel English Noun Compounds
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
Identification and Disambiguation of Lexical Cues of Rhetorical Relations across Different Text Genres
AnyTrans: Translate AnyText in the Image with Large Scale Models
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers
Enhancing Discourse Dependency Parsing with Sentence Dependency Parsing: A Unified Generative Method Based on Code Representation
Extracting Syntactic Trees from Transformer Encoder Self-Attentions
MCapsNet: Capsule Network for Text with Multi-Task Learning
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output
A Survey on Detection of LLMs-Generated Content
Learning to Rank Lexical Substitutions
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica
Opening up Minds with Argumentative Dialogues
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
Greed is Good if Randomized: New Inference for Dependency Parsing
Unsupervised Models for Named Entity Classification
Large Language Models are Better Reasoners with Self-Verification
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding
Structure Aware Negative Sampling in Knowledge Graphs
Entity Disambiguation on a Tight Labeling Budget
Open-Domain Fine-Grained Class Extraction from Web Search Queries
A Multilingual View of Unsupervised Machine Translation
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
INMT: Interactive Neural Machine Translation Prediction
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
Dual-Phase Accelerated Prompt Optimization
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Vowel and Consonant Classification through Spectral Decomposition
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
Knowledge-grounded Dialog State Tracking
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences
Modeling Mathematical Notation Semantics in Academic Papers
An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian
Reasoning Makes Good Annotators : An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?
Learning to Solve Arithmetic Word Problems with Verb Categorization
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
Evaluating and Characterizing Human Rationales
A Neural Transition-based Model for Nested Mention Recognition
MATE: Meet At The Embedding - Connecting Images with Long Texts
Fast semantic parsing with well-typedness guarantees
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Context-Dependent Sense Embedding
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
Text Augmented Spatial Aware Zero-shot Referring Image Segmentation
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data
Extracting Opinion Expressions with semi-Markov Conditional Random Fields
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
Challenges in Data-to-Document Generation
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
The Empirical Variability of Narrative Perceptions of Social Media Texts
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
Composition, Attention, or Both?
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models
Effective Use of Context in Noisy Entity Linking
Multi-hop Question Generation with Graph Convolutional Network
Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning
Event-Driven Learning of Systematic Behaviours in Stock Markets
A Unified Encoding of Structures in Transition Systems
StraGo: Harnessing Strategic Guidance for Prompt Optimization
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 - System Demonstrations
Inferring Binary Relation Schemas for Open Information Extraction
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning
Mixup Decoding for Diverse Machine Translation
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
Stream-level Latency Evaluation for Simultaneous Machine Translation
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements
Multilingual Dependency Parsing and Domain Adaptation using DeSR
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Wikipedia as Frame Information Repository
Automatic Feature Engineering for Answer Selection and Extraction
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
Self-Training with Products of Latent Variable Grammars
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
Step-level Value Preference Optimization for Mathematical Reasoning
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
Refining Word Embeddings for Sentiment Analysis
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent
An L* Algorithm for Deterministic Weighted Regular Languages
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness
A Neural Local Coherence Model for Text Quality Assessment
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
Countering Language Drift via Visual Grounding
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
Discourse Sense Flows: Modelling the Rhetorical Style of Documents across Various Domains
'Indicatements' that character language models learn English morpho-syntactic units and regularities
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers
Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation
What Would Happen Next? Predicting Consequences from An Event Causality Graph
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature
C-ICL: Contrastive In-context Learning for Information Extraction
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
Revisiting the Optimality of Word Lengths
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation
Exploiting Social Relations and Sentiment for Stock Prediction
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Learning to Freestyle: Hip Hop Challenge-Response Induction via Transduction Rule Segmentation
Automatic Domain Partitioning for Multi-Domain Learning
A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
CMD: a framework for Context-aware Model self-Detoxification
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions
Getting Gender Right in Neural MT
Multi-Stage Pre-training for Automated Chinese Essay Scoring
Max-Violation Perceptron and Forced Decoding for Scalable MT Training
PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals
Dealing with Abbreviations in the Slovenian Biographical Lexicon
Character and Subword-Based Word Representation for Neural Language Modeling Prediction
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization
Detecting Compositionality of Multi-Word Expressions using Nearest Neighbours in Vector Space Models
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions
Contrastive Out-of-Distribution Detection for Pretrained Transformers
Investigating the Effectiveness of BPE: The Power of Shorter Sequences
CELLO: Causal Evaluation of Large Vision-Language Models
Automatic induction of FrameNet lexical units
Multi-Stage Pre-training for Low-Resource Domain Adaptation
EELBERT: Tiny Models through Dynamic Embeddings
Document-Level Machine Translation with Large Language Models
Improvements to the Bayesian Topic N-Gram Models
MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models
Bridging Sentential and Discourse-level Semantics through Clausal Adjuncts
Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles
Language Modeling with Functional Head Constraint for Code Switching Speech Recognition
Patient Knowledge Distillation for BERT Model Compression
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
HARE: a Flexible Highlighting Annotator for Ranking and Exploration
Defending Jailbreak Prompts via In-Context Adversarial Game
Component-Enhanced Chinese Character Embeddings
Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning
Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference
TransLLaMa: LLM-based Simultaneous Translation System
Wikification of Concept Mentions within Spoken Dialogues Using Domain Constraints from Wikipedia
Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax
Discourse Element Identification in Student Essays based on Global and Local Cohesion
Entity resolution for noisy ASR transcripts
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
Towards a Universal Sentiment Classifier in Multiple languages
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Controllable Semantic Parsing via Retrieval Augmentation
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
Conversational Semantic Parsing for Dialog State Tracking
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Active Learning for Abstractive Text Summarization
KnowMAN: Weakly Supervised Multinomial Adversarial Networks
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models
Automatic rule generation for time expression normalization
Reconstructing Capsule Networks for Zero-shot Intent Classification
Exploring The Landscape of Distributional Robustness for Question Answering Models
Implicit Sense-labeled Connective Recognition as Text Generation
Towards One-to-Many Visual Question Answering
On the Risk of Misinformation Pollution with Large Language Models
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
Adapter Pruning using Tropical Characterization
Ubertagging: Joint Segmentation and Supertagging for English
Lexical Semantic Relatedness with Random Graph Walks
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts
Hands-On Interactive Neuro-Symbolic NLP with DRaiL
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling
Self-disclosure topic model for classifying and analyzing Twitter conversations
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting
Language Resource Efficient Learning for Captioning
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
Natural Language Generation with Tree Conditional Random Fields
A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution
Can Chinese Phonemes Improve Machine Transliteration?: A Comparative Study of English-to-Chinese Transliteration Models
Sequence Length is a Domain: Length-based Overfitting in Transformer Models
Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
Proceedings of the 2nd Workshop on Multilingual Surface Realisation, MSR@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019
Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection
Numerical reasoning in machine reading comprehension tasks: are we there yet?
Open Aspect Target Sentiment Classification with Natural Language Prompts
Training with Exploration Improves a Greedy Stack LSTM Parser
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks
Paradigm Completion for Derivational Morphology
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
GeneSis: A Generative Approach to Substitutes in Context
Attaching Multiple Prepositional Phrases: Backed-off Estimation Generalized
Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models