yusuke1997/dblp-id-title huggingface dataset:
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues
Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
ParlAI: A Dialog Research Software Platform
Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens
Datasets for Multilingual Answer Sentence Selection
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel
Preference-Guided Reflective Sampling for Aligning Language Models
Supersense Tagging of Unknown Nouns in WordNet
Neural Extractive Text Summarization with Syntactic Compression
ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models
Romanization-based Large-scale Adaptation of Multilingual Language Models
Simple Effective Decipherment via Combinatorial Optimization
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
Robust Text Classifier on Test-Time Budgets
A Discriminative Candidate Generator for String Transformations
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!
Data Augmentation for Code Translation with Comparable Corpora and Multiple References
Tree Kernel-based SVM with Structured Syntactic Knowledge for BTG-based Phrase Reordering
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Filtered Semi-Markov CRF
Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Improving Input-label Mapping with Demonstration Replay for In-context Learning
PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion
Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers
Detecting Parser Errors Using Web-based Semantic Filters
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018
MatchTime: Towards Automatic Soccer Game Commentary Generation
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate
Instructive Dialogue Summarization with Query Aggregations
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Instance Regularization for Discriminative Language Model Pre-training
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
What time is it? Temporal Analysis of Novels
On the Zero-Shot Generalization of Machine-Generated Text Detectors
Are LLMs Aware that Some Questions are not Open-ended?
Learning Word Representations with Cross-Sentence Dependencyfor End-to-End Co-reference Resolution
Inferring Implicit Relations in Complex Questions with Language Models
Detecting Perspectives in Political Debates
Dissecting Span Identification Tasks with Performance Prediction
AMR Parsing with an Incremental Joint Model
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots
Interpreting Neural Networks with Nearest Neighbors
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
Embedding Words in Non-Vector Space with Unsupervised Graph Learning
A dataset and baselines for sequential open-domain question answering
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
Language-to-Code Translation with a Single Labeled Example
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles
STAR: SocioTechnical Approach to Red Teaming Language Models
Outlier Dimensions Encode Task Specific Knowledge
Unsupervised Information Extraction with Distributional Prior Knowledge
Leveraging Grammar Induction for Language Understanding and Generation
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition
Modeling Term Translation for Document-informed Machine Translation
Interpretable Textual Neuron Representations for NLP
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
Analyzing Linguistic Knowledge in Sequential Model of Sentence
Domain Adaptation for Conversational Query Production with the RAG Model Feedback
The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
Curriculum Consistency Learning for Conditional Sentence Generation
Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs
MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling
Manipulating the Perceived Personality Traits of Language Models
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization
Can LLM be a Personalized Judge?
Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)
On the Fragility of Active Learners for Text Classification
On the Effectiveness of Automated Metrics for Text Generation Systems
Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages
Towards Exploiting Background Knowledge for Building Conversation Systems
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis
Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models
Stochastic Top-k ListNet
Evaluation and Extension of Maximum Entropy Models with Inequality Constraints
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
A Split-and-Recombine Approach for Follow-up Query Analysis
Using the Web in Machine Learning for Other-Anaphora Resolution
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation
Taking the load off the conference chairs-towards a digital paper-routing assistant
Text-Translation Alignment: Three Languages Are Better Than Two
A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
On the Abstractiveness of Neural Document Summarization
Dependency-Based Decipherment for Resource-Limited Machine Translation
KE-GCL: Knowledge Enhanced Graph Contrastive Learning for Commonsense Question Answering
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference
Realizing Universal Dependencies Structures
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging
Mimicking Word Embeddings using Subword RNNs
Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service
Scene Restoring for Narrative Machine Reading Comprehension
Acceptability Judgements via Examining the Topology of Attention Maps
A New Representation for Span-based CCG Parsing
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training
News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring
Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text
Non-Isomorphic Forest Pair Translation
Integrating Personalized PageRank into Neural Word Sense Disambiguation
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining
Constrained Fact Verification for FEVER
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation
How well do NLI models capture verb veridicality?
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
Learning to Model Multimodal Semantic Alignment for Story Visualization
NumNet: Machine Reading Comprehension with Numerical Reasoning
A New Approach to Lexical Disambiguation of Arabic Text
Reinforced Video Captioning with Entailment Rewards
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks
Rationale-Augmented Convolutional Neural Networks for Text Classification
A linguistically-motivated evaluation methodology for unraveling model's abilities in reading comprehension tasks
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts
Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia
Annotation of a Large Clinical Entity Corpus
Scaling Vision-Language Models with Sparse Mixture of Experts
MACAROON: Training Vision-Language Models To Be Your Engaged Partners
Trans-gram, Fast Cross-lingual Word-embeddings
News Stream Summarization using Burst Information Networks
BERT for Coreference Resolution: Baselines and Analysis
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
MedINST: Meta Dataset of Biomedical Instructions
Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics, LSDSem@EMNLP 2015, Lisbon, Portugal, September 18, 2015
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Dissecting In-Context Learning of Translations in GPT-3
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning
Textual Time Travel: A Temporally Informed Approach to Theory of Mind
Prompting with Pseudo-Code Instructions
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity
Advancing Vision-Language Models with Adapter Ensemble Strategies
Semi-supervised Relation Extraction via Incremental Meta Self-Training
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models
Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
Hierarchical Fusion for Online Multimodal Dialog Act Classification
DetectiveNN: Imitating Human Emotional Reasoning with a Recall-Detect-Predict Framework for Emotion Recognition in Conversations
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
Exploring the Relationship between In-Context Learning and Instruction Tuning
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
Introducing a New Dataset for Event Detection in Cybersecurity Texts
Revisiting Query Variation Robustness of Transformer Models
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts
Bilingual Structured Language Models for Statistical Machine Translation
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Prompting Scientific Names for Zero-Shot Species Recognition
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
Parsimonious Data-Oriented Parsing
Efficient Hyper-parameter Optimization for NLP Applications
Discretized Integrated Gradients for Explaining Language Models
DialogueGAT: A Graph Attention Network for Financial Risk Prediction by Modeling the Dialogues in Earnings Conference Calls
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Training Connectionist Models for the Structured Language Model
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
CompAct: Compressing Retrieved Documents Actively for Question Answering
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation
Cascaded Grammatical Relation Assignment
OffsetBias: Leveraging Debiased Data for Tuning Evaluators
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
Composition of Word Representations Improves Semantic Role Labelling
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
CITB: A Benchmark for Continual Instruction Tuning
Transformer-based Entity Typing in Knowledge Graphs
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
SentBS: Sentence-level Beam Search for Controllable Summarization
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples
Resolving "This-issue" Anaphora
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish
Error-Driven Analysis of Challenges in Coreference Resolution
Translation Quality Estimation by Jointly Learning to Score and Rank
Analyzing Modular Approaches for Visual Question Decomposition
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms
MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot
Structure-Unified M-Tree Coding Solver for Math Word Problem
Factual Relation Discrimination for Factuality-oriented Abstractive Summarization
'Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
On the Strength of Character Language Models for Multilingual Named Entity Recognition
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP
Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters
Identifying spurious correlations for robust text classification
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings
KLearn: Background Knowledge Inference from Summarization Data
Multilingual word translation using auxiliary languages
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
BLEU might be Guilty but References are not Innocent
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
Controlled Language Generation for Language Learning Items
Discourse Parsing with Attention-based Hierarchical Neural Networks
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
Don't waste a single annotation: improving single-label classifiers through soft labels
Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning
Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
The Instinctive Bias: Spurious Images lead to Illusion in MLLMs
Focused Large Language Models are Stable Many-Shot Learners
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Proceedings of the First Workshop on Subword and Character Level Models in NLP, Copenhagen, Denmark, September 7, 2017
The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
Toward the Limitation of Code-Switching in Cross-Lingual Transfer
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
Unsupervised Name Ambiguity Resolution Using A Generative Model
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts
Robustness of Named-Entity Replacements for In-Context Learning
POE: Process of Elimination for Multiple Choice Reasoning
Ambiguity Resolution for Vt-N Structures in Chinese
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages
Authorship Attribution for Neural Text Generation
CapWAP: Image Captioning with a Purpose
Adaptive Gating in Mixture-of-Experts based Language Models
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
Towards Accurate and Reliable Energy Measurement of NLP Models
IC3: Image Captioning by Committee Consensus
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation
Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
A Simple Baseline for Knowledge-Based Visual Question Answering
Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
A Structured Learning Approach to Temporal Relation Extraction
ER-Test: Evaluating Explanation Regularization Methods for Language Models
Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?
Multi-View Active Learning for Short Text Classification in User-Generated Data
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
A State-independent and Time-evolving Network for Early Rumor Detection in Social Media
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
Social IQa: Commonsense Reasoning about Social Interactions
Consecutive Question Generation via Dynamic Multitask Learning
Research Replication Prediction Using Weakly Supervised Learning
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
Improving the Transformer Translation Model with Document-Level Context
NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
A Graph-Theoretic Summary Evaluation for Rouge
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration
Distributional Semantics in Use
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
Neural Adaptation Layers for Cross-domain Named Entity Recognition
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
Generalized Higher-Order Dependency Parsing with Cube Pruning
Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation