yusuke1997/dblp-id-title huggingface dataset:
Adaptive Graph Convolutional Network for Knowledge Graph Entity Alignment
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS
AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning
Contextualized Graph Representations for Generating Counter-Narratives against Hate Speech
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
On the Use of Virtual Evidence in Conditional Random Fields
Using Interpretation Methods for Model Enhancement
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
The Influence of Minimum Edit Distance on Reference Resolution
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation
Explicitly modeling case improves neural dependency parsing
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Semantic Matching and Aggregation Network for Few-shot Intent Detection
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers
The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources
MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition
Taxonomy Expansion for Named Entity Recognition
Exploring Supervised LDA Models for Assigning Attributes to Adjective-Noun Phrases
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models
Multi-label Sequential Sentence Classification via Large Language Model
Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC
Communicating with Speakers and Listeners of Different Pragmatic Levels
Zero-Shot Dynamic Quantization for Transformer Inference
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
HoneyComb: A Flexible LLM-Based Agent System for Materials Science
Reading Like HER: Human Reading Inspired Extractive Summarization
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
Code-Switching Metrics Using Intonation Units
A Simple Yet Strong Pipeline for HotpotQA
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
CEFR-Based Sentence Difficulty Annotation and Assessment
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015
Empirical Term Weighting and Expansion Frequency
Measuring Distributional Similarity in Context
Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing
Hierarchical Verb Clustering Using Graph Factorization
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
Towards Semi-Supervised Learning for Deep Semantic Role Labeling
Re-Evaluating Evaluation for Multilingual Summarization
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
IMSurReal: IMS at the Surface Realization Shared Task 2019
Visualizing Trends of Key Roles in News Articles
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation
Assessing "Implicit" Retrieval Robustness of Large Language Models
When does Parameter-Efficient Transfer Learning Work for Machine Translation?
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
Data2Text Studio: Automated Text Generation from Structured Data
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Learning Dynamic Multi-attribute Interest for Personalized Product Search
Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction
BRAINTEASER: Lateral Thinking Puzzles for Large Language Models
How well does active learning
ETC: Encoding Long and Structured Inputs in Transformers
Why do you think that? Exploring faithful sentence-level rationales without supervision
Bridging Lexical Gaps between Queries and Questions on Large Online Q&A Collections with Compact Translation Models
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
ABLE: Personalized Disability Support with Politeness and Empathy Integration
Unveiling the Role of Pretraining in Direct Speech Translation
Automatic Rule Induction for Efficient Semi-Supervised Learning
PLATO-Ad: A Unified Advertisement Text Generation Framework with Multi-Task Prompt Learning
Quantifying the Effects of Text Duplication on Semantic Models
Culturally Aware Natural Language Inference
Analyzing the Limits of Self-Supervision in Handling Bias in Language
Data-to-text Generation by Splicing Together Nearest Neighbors
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs
OCNLI: Original Chinese Natural Language Inference
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations
Detection of Multiple Mental Disorders from Social Media with Two-Stream Psychiatric Experts
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health
Making Large Language Models Better Data Creators
A multilabel approach to morphosyntactic probing
Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling
A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields
Neural Topic Modeling with Cycle-Consistent Adversarial Training
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration
Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data
Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation
Deep Weighted MaxSAT for Aspect-based Opinion Extraction
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Cross-lingual Lexical Sememe Prediction
A Discriminative Training Procedure for Continuous Translation Models
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
Affordance Extraction and Inference based on Semantic Role Labeling
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint
End-to-end Neural Information Status Classification
SynKB: Semantic Search for Synthetic Procedures
Similarity Based Auxiliary Classifier for Named Entity Recognition
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation
A Convex Alternative to IBM Model 2
Using Visual Feature Space as a Pivot Across Languages
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
MEGA: Multilingual Evaluation of Generative AI
Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
MIC: A Multi-task Interactive Curation Tool
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
mReFinED: An Efficient End-to-End Multilingual Entity Linking System
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
Text Embeddings Reveal (Almost) As Much As Text
Detecting Label Errors by Using Pre-Trained Language Models
A Syllable-based Technique for Word Embeddings of Korean Words
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
Entity-Based Semantic Adequacy for Data-to-Text Generation
CLEVA: Chinese Language Models EVAluation Platform
Recognizing Textual Entailment Using Probabilistic Inference
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney
TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects
Evidence Retrieval for Fact Verification using Multi-stage Reranking
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
RAC: Retrieval-augmented Conversation Dataset for Open-domain Question Answering in Conversational Settings
Non-lexical neural architecture for fine-grained POS Tagging
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
Finding Authentic Counterhate Arguments: A Case Study with Public Figures
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models
Disambiguated skip-gram model
Optimizing Word Segmentation for Downstream Task
Holistic Evaluation for Interleaved Text-and-Image Generation
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Improving Question Generation With to the Point Context
Improving Neural Machine Translation by Bidirectional Training
A Probabilistic Morphological Analyzer for Syriac
To Err Is Human, but Llamas Can Learn It Too
RESTful-Llama: Connecting User Queries to RESTful APIs
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
Efficient Multilingual Language Model Compression through Vocabulary Trimming
Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models
Training Millions of Personalized Dialogue Agents
Transforming Sequence Tagging Into A Seq2Seq Task
Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP 2003, Sapporo, Japan, July 11-12, 2003
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training
Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation
Open-ended Knowledge Tracing for Computer Science Education
Exophoric Pronoun Resolution in Dialogues with Topic Regularization
Entity, Relation, and Event Extraction with Contextualized Span Representations
Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling
Cascading Collective Classification for Bridging Anaphora Recognition using a Rich Linguistic Feature Set
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
A Neural Network Approach to Selectional Preference Acquisition
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
It's a Contradiction - no, it's not: A Case Study using Functional Relations
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent
A Bag of Tricks for Dialogue Summarization
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection
LLM as a metric critic for low resource relation identification
Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin
VKIE: The Application of Key Information Extraction on Video Text
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
Regular Expression Learning for Information Extraction
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration
Learning Within-Sentence Semantic Coherence
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
Fine-Grained Analysis of Propaganda in News Article
Style-Shifting Behaviour of the Manosphere on Reddit
Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models
Segmenting Natural Language Sentences via Lexical Unit Analysis
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets
Cascaded Semantic and Positional Self-Attention Network for Document Classification
Lifelong Event Detection via Optimal Transport
A Mixture Model with Sharing for Lexical Semantics
Attending to Future Tokens for Bidirectional Sequence Generation
PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation
Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays
A Fast Algorithm for Feature Selection in Conditional Maximum Entropy Modeling
INFORM : Information eNtropy based multi-step reasoning FOR large language Models
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation
Evaluating Factuality in Generation with Dependency-level Entailment
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
A Syntactified Direct Translation Model with Linear-time Decoding
Language Models for Machine Translation: Original vs. Translated Texts
RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning
Look-up and Adapt: A One-shot Semantic Parser
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Integrating sentence- and word-level error identification for disfluency correction
Topic-Based Agreement and Disagreement in US Electoral Manifestos
API-Assisted Code Generation for Question Answering on Varied Table Structures
Sequence-to-Lattice Models for Fast Translation
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
CGF: Constrained Generation Framework for Query Rewriting in Conversational AI
"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History
Structured Optimal Brain Pruning for Large Language Models
Out-of-Domain Detection for Low-Resource Text Classification Tasks
Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge
SLURP: A Spoken Language Understanding Resource Package
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Lexical Level Distribution of Metadiscourse in Spoken Language
How Decoding Strategies Affect the Verifiability of Generated Text
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation
Structured Sparsity in Structured Prediction
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
On Training Data Influence of GPT Models
Converting Continuous-Space Language Models into N-Gram Language Models for Statistical Machine Translation
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation
Learning to Generate Clinically Coherent Chest X-Ray Reports
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
Learning from Natural Language Explanations for Generalizable Entity Matching
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Bridging Background Knowledge Gaps in Translation with Automatic Explicitation
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games
Representing Text for Joint Embedding of Text and Knowledge Bases
Zero-Shot Text Classification with Self-Training
AnswerFact: Fact Checking in Product Question Answering
Seeded Discovery of Base Relations in Large Corpora
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Adaptively Sparse Transformers
Learning Spatial Knowledge for Text to 3D Scene Generation
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts
When Harry Met Harri: Cross-lingual Name Spelling Normalization
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering
Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction
Measuring Pointwise \mathcalV-Usable Information In-Context-ly
An Empirical Analysis of Edit Importance between Document Versions
Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories
Which questions should I answer? Salience Prediction of Inquisitive Questions
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models
Evaluating and Modeling Attribution for Cross-Lingual Question Answering
A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation
Three Strategies to Improve One-to-Many Multilingual Translation
MassiveSumm: a very large-scale, very multilingual, news summarisation dataset
On the importance of pre-training data volume for compact language models
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Simple Entity-Centric Questions Challenge Dense Retrievers
LongGenBench: Long-context Generation Benchmark
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management
Corpus-based Open-Domain Event Type Induction
It's not a Non-Issue: Negation as a Source of Error in Machine Translation
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection
What's in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
AliGATr: Graph-based layout generation for form understanding
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis
RMM: A Recursive Mental Model for Dialog Navigation
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base
CiteQA@CLSciSumm 2020
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
Topic-wise, Sentiment-wise, or Otherwise? Identifying the Hidden Dimension for Unsupervised Text Classification
Recursive Top-Down Production for Sentence Generation with Latent Trees
Model Criticism for Long-Form Text Generation
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
Cloze-driven Pretraining of Self-attention Networks
AnEMIC: A Framework for Benchmarking ICD Coding Models
SgSum: Transforming Multi-document Summarization into Sub-graph Selection