yusuke1997/dblp-id-title huggingface dataset:
A Comprehensive Evaluation of Biomedical Entity Linking Models
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
Improving Lexical Mapping Model of English-Korean Bitext Using Structural Features
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages
Granular Privacy Control for Geolocation with Vision Language Models
Hierarchical Phrase-based Stream Decoding
Translating Hanja Historical Documents to Contemporary Korean and English
Bilingual Word Embeddings for Phrase-Based Machine Translation
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity
A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
SLM: Learning a Discourse Language Representation with Sentence Unshuffling
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse
Context-Aware Answer Extraction in Question Answering
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs
Beyond [CLS] through Ranking by Generation
COVIDLies: Detecting COVID-19 Misinformation on Social Media
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
An Element-aware Multi-representation Model for Law Article Prediction
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction
TL-CL: Task And Language Incremental Continual Learning
Towards a Better Metric for Evaluating Question Generation Systems
Controllable Neural Dialogue Summarization with Personal Named Entity Planning
A Generate and Rank Approach to Sentence Paraphrasing
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization
Text Segmentation Using Exponential Models
Retrieved In-Context Principles from Previous Mistakes
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
EmoTag1200: Understanding the Association between Emojis and Emotions
CoRefi: A Crowd Sourcing Suite for Coreference Annotation
Neural Linguistic Steganography
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Estimating Knowledge in Large Language Models Without Generating a Single Token
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
Context-Aware Conversation Thread Detection in Multi-Party Chat
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection
Using linguistically motivated features for paragraph boundary identification
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
SummHelper: Collaborative Human-Computer Summarization
Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies
Automatic Extraction of Implicit Interpretations from Modal Constructions
Minimally Supervised Learning of Affective Events Using Discourse Relations
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction
Identifying Statements Crucial for Awareness of Interpretive Nonsense to Prevent Communication Breakdowns
Hierarchy Response Learning for Neural Conversation Generation
Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Tuning as Ranking
Multilingual Machine Translation with Hyper-Adapters
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles
BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification
MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding
Linguistic representations in multi-task neural networks for ellipsis resolution
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
MEE: A Novel Multilingual Event Extraction Dataset
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting
Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
Aspect Sentiment Classification with Aspect-Specific Opinion Spans
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages
Efficient Inference for Multilingual Neural Machine Translation
Identifying Functional Relations in Web Text
Data-Anonymous Encoding for Text-to-SQL Generation
With Little Power Comes Great Responsibility
Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration
Span Fine-tuning for Pre-trained Language Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Unsupervised Adaptation of Question Answering Systems via Generative Self-training
Pretrained Language Model Embryology: The Birth of ALBERT
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding
The Projector: An Interactive Annotation Projection Visualization Tool
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
Structural Embedding of Syntactic Trees for Machine Comprehension
AdapterHub: A Framework for Adapting Transformers
Single-Document Summarization as a Tree Knapsack Problem
Context-Free Transductions with Neural Stacks
Noisy Self-Training with Synthetic Queries for Dense Retrieval
Game-Based Video-Context Dialogue
Entity-level Sentiment Analysis in Contact Center Telephone Conversations
Neural Latent Extractive Document Summarization
ARCH: Efficient Adversarial Regularized Training with Caching
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
Training dependency parsers by jointly optimizing multiple objectives
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval
LLMDet: A Third Party Large Language Models Generated Text Detection Tool
Learning to Rank Semantic Coherence for Topic Segmentation
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation
Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
STORYSUMM: Evaluating Faithfulness in Story Summarization
Revisiting Automated Topic Model Evaluation with Large Language Models
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
On the Universal Truthfulness Hyperplane Inside LLMs
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
SYMPTOMIFY: Transforming Symptom Annotations with Language Model Knowledge Harvesting
Towards Summary Candidates Fusion
InsightNet : Structured Insight Mining from Customer Feedback
Translating Math Word Problem to Expression Tree
Rule Extraction for Tree-to-Tree Transducers by Cost Minimization
Structural Opinion Mining for Graph-based Sentiment Representation
Reinforced Question Rewriting for Conversational Question Answering
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Compositional Generalization for Primitive Substitutions
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages
Textless Speech Emotion Conversion using Discrete & Decomposed Representations
Semantic Dependency Parsing with Edge GNNs
It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment
Robust Disambiguation of Named Entities in Text
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
Identifying Political Sentiment between Nation States with Social Media
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis
Consistent Response Generation with Controlled Specificity
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
Generative Spoken Language Model based on continuous word-sized audio tokens
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
Multitask Instruction-based Prompting for Fallacy Recognition
One Source, Two Targets: Challenges and Rewards of Dual Decoding
Syntax Aware LSTM model for Semantic Role Labeling
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder
BLSP-Emo: Towards Empathetic Large Speech-Language Models
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT
Table-based Fact Verification With Salience-aware Learning
Representing and resolving ambiguities in ontology-based question answering
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
ConGen: Unsupervised Control and Generalization Distillation For Sentence Representation
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models
Towards Multilingual Interlinear Morphological Glossing
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Humor Recognition and Humor Anchor Extraction
Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health
Attentional Probe: Estimating a Module's Functional Potential
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
Japanese Dependency Structure Analysis based on Lexicalized Statistics
Context-aware Stand-alone Neural Spelling Correction
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs
LLMs Cannot (Yet) Match the Specificity and Simplicity of Online Communities in Long Form Question Answering
Patterns of Polysemy and Homonymy in Contextualised Language Models
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
Contrastive Distillation on Intermediate Representations for Language Model Compression
Unsupervised Sounding Pixel Learning
Parameter sharing between dependency parsers for related languages
Generative Entity Typing with Curriculum Learning
MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method
COMETA: A Corpus for Medical Entity Linking in the Social Media
Improved Word Alignment with Statistics and Linguistic Heuristics
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization
Improving Nominal SRL in Chinese Language with Verbal SRL Information and Automatic Predicate Recognition
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures
Learning to Recognize Discontiguous Entities
Chinese Syntactic Reordering for Statistical Machine Translation
Generating Natural Language Adversarial Examples
Skim-Attention: Learning to Focus via Document Layout
Is Twitter A Better Corpus for Measuring Sentiment Similarity?
XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into words
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data
Adaptive Bridge between Training and Inference for Dialogue Generation
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities
Con-NAT: Contrastive Non-autoregressive Neural Machine Translation
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Handling Syntactic Divergence in Low-resource Machine Translation
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
How Much Information Does a Human Translator Add to the Original?
Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval
Leveraging Training Dynamics and Self-Training for Text Classification
Numerically Grounded Language Models for Semantic Error Correction
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
On Classifying whether Two Texts are on the Same Side of an Argument
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering
Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding
FELIX: Flexible Text Editing Through Tagging and Insertion
The Woman Worked as a Babysitter: On Biases in Language Generation
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
Assigning Grammatical Relations with a Back-off Model
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems
FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4
Balaur: Language Model Pretraining with Lexical Semantic Relations
Low-resource Neural Machine Translation with Cross-modal Alignment
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation
Rethinking Self-Attention: Towards Interpretability in Neural Parsing
Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
Efficient kernels for sentence pair classification
Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos
Train No Evil: Selective Masking for Task-Guided Pre-Training
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
Cross Sentence Inference for Process Knowledge
Decoupling Strategy and Generation in Negotiation Dialogues
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation
Salience-Aware Event Chain Modeling for Narrative Understanding
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems
Arabic Diacritization with Recurrent Neural Networks
More Bang for your Context: Virtual Documents for Question Answering over Long Documents
Adjective Intensity and Sentiment Analysis
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions
Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU
An Evaluation Method for Diachronic Word Sense Induction
QuestEval: Summarization Asks for Fact-based Evaluation
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition
Improving Word Alignment with Bridge Languages
Spelling Correction of User Search Queries through Statistical Machine Translation
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
Specializing Multi-domain NMT via Penalizing Low Mutual Information
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models
Gated Word-Character Recurrent Language Model
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model
The Overlooked Repetitive Lengthening Form in Sentiment Analysis
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection
CHIA: CHoosing Instances to Annotate for Machine Translation
PubMedQA: A Dataset for Biomedical Research Question Answering
A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems
UER: An Open-Source Toolkit for Pre-training Models
CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations
A Fast Re-scoring Strategy to Capture Long-Distance Dependencies
Word Frequency Does Not Predict Grammatical Knowledge in Language Models
Recovering Question Answering Errors via Query Revision
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics
Testing for Significance of Increased Correlation with Human Judgment
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering
Compact Personalized Models for Neural Machine Translation
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
Energy and Carbon Considerations of Fine-Tuning BERT
Conundrums in Event Coreference Resolution: Making Sense of the State of the Art
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding
Predicting Subjectivity in Multimodal Conversations
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Generating Highly Relevant Questions
Long Document Ranking with Query-Directed Sparse Transformer
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
A Survey on In-context Learning
Strongly Incremental Repair Detection
A Coherence Model Based on Syntactic Patterns
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, Hong Kong, November 4, 2019
Cross-Document Event Coreference Resolution on Discourse Structure
Literal and Metaphorical Sense Identification through Concrete and Abstract Context
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
Federated Model Decomposition with Private Vocabulary for Text Classification
Towards Explainable Computerized Adaptive Testing with Large Language Model
Semi-supervised Text Style Transfer: Cross Projection in Latent Space
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
Do "Undocumented Workers" == "Illegal Aliens"? Differentiating Denotation and Connotation in Vector Spaces
Modelling Compression with Discourse Constraints
First Order vs. Higher Order Modification in Distributional Semantics
Phrasal Cohesion and Statistical Machine Translation
Classification-based Contextual Preferences
Consistent Accelerated Inference via Confident Adaptive Transformers
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning
Exploring Linguistic Probes for Morphological Inflection
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
PairDistill: Pairwise Relevance Distillation for Dense Retrieval