yusuke1997/dblp-id-title huggingface dataset:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
Can Active Label Correction Improve LLM-based Modular AI Systems?
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Multilingual Spectral Clustering Using Document Similarity Propagation
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
Encoding Gated Translation Memory into Neural Machine Translation
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings
One Model to Learn Both: Zero Pronoun Prediction and Translation
Covington Variations
Named Entity Recognition in Tweets: An Experimental Study
Correcting Keyboard Layout Errors and Homoglyphs in Queries
Multi-Granularity Optimization for Non-Autoregressive Translation
Accurate Supervised and Semi-Supervised Machine Reading for Long Documents
Knowledge-Selective Pretraining for Attribute Value Extraction
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue
Exploiting Community Emotion for Microblog Event Detection
A Bilingual Generative Transformer for Semantic Sentence Embedding
Efficient Subsampling for Training Complex Language Models
Re-Examining Summarization Evaluation across Multiple Quality Criteria
Momentum Contrastive Pre-training for Question Answering
Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora
Supervised Text-based Geolocation Using Language Models on an Adaptive Grid
Revisiting Supertagging for faster HPSG parsing
Evaluating Models' Local Decision Boundaries via Contrast Sets
Lessons Learned in Part-of-Speech Tagging of Conversational Speech
Estimating Large Language Model Capabilities without Labeled Test Data
Scaling Textual Inference to the Web
Distance-aware Calibration for Pre-trained Language Models
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
An Iterative Link-based Method for Parallel Web Page Mining
DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization
Deep Exhaustive Model for Nested Named Entity Recognition
Continual Event Extraction with Semantic Confusion Rectification
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Biomedical Event Extraction as Sequence Labeling
How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models
Accurate Word Segmentation and POS Tagging for Japanese Microblogs: Corpus Annotation and Joint Modeling with Lexical Normalization
Guiding Neural Entity Alignment with Compatibility
Stacking Classifiers for Anti-Spam Filtering of E-Mail
Teaching Syntax by Adversarial Distraction
Learning Fine-Grained Expressions to Solve Math Word Problems
In Defense of Structural Sparse Adapters for Concurrent LLM Serving
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
Better Language Models with Model Merging
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Automatically Constructing a Normalisation Dictionary for Microblogs
Decomposing Textual Information For Style Transfer
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding
AudioVSR: Enhancing Video Speech Recognition with Audio Data
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
Detecting Erroneously Recognized Handwritten Byzantine Text
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method
Story Embeddings - Narrative-Focused Representations of Fictional Stories
Large Language Models Can Not Perform Well in Understanding and Manipulating Natural Language at Both Character and Word Levels?
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions
Studying word order through iterative shuffling
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer
Emergent Inabilities? Inverse Scaling Over the Course of Pretraining
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Overview of the First Workshop on Scholarly Document Processing (SDP)
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
The Less the Merrier? Investigating Language Representation in Multilingual Models
The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary
Evaluating Language Model Character Traits
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
Obj2Text: Generating Visually Descriptive Language from Object Layouts
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision
Keyphrase Generation Beyond the Boundaries of Title and Abstract
Knowledge Corpus Error in Question Answering
Nash CoT: Multi-Path Inference with Preference Equilibrium
An information theoretic view on selecting linguistic probes
Entity Extraction via Ensemble Semantics
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models
Compositional Demographic Word Embeddings
Graph-based Word Clustering using a Web Search Engine
Solving Historical Dictionary Codes with a Neural Language Model
Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
Globally Normalized Reader
Symbolic Planning and Code Generation for Grounded Dialogue
Artificial Text Detection via Examining the Topology of Attention Maps
KD-Boost: Boosting Real-Time Semantic Matching in E-commerce with Knowledge Distillation
Subword Language Model for Query Auto-Completion
Benchmarking Machine Translation with Cultural Awareness
Strong and Efficient Baselines for Open Domain Conversational Question Answering
Visual Question Decomposition on Multimodal Large Language Models
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation
Improving compositional generalization for multi-step quantitative reasoning in question answering
Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Topic Modeling With Topological Data Analysis
PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation
Contextualized Query Embeddings for Conversational Search
Using Morphological and Syntactic Structures for Chinese Opinion Analysis
Unlocking Continual Learning Abilities in Language Models
Cross-Pair Text Representations for Answer Sentence Selection
Translating into Morphologically Rich Languages with Synthetic Phrases
Visually Grounded Reasoning across Languages and Cultures
Topic-Oriented Open Relation Extraction with A Priori Seed Generation
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives
Sequentially Controlled Text Generation
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation
A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition
A Robust Self-Learning Framework for Cross-Lingual Text Classification
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
Synchronous Tree Adjoining Machine Translation
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
Automated Few-Shot Classification with Instruction-Finetuned Language Models
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
Camelira: An Arabic Multi-Dialect Morphological Disambiguator
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models
A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation
Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings
Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Modeling the Music Genre Perception across Language-Bound Cultures
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition
Auto-Sizing Neural Networks: With Applications to n-gram Language Models
Tagging Grammatical Functions
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
Lexical Generalization Improves with Larger Models and Longer Training
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
TVQA: Localized, Compositional Video Question Answering
Induct-Learn: Short Phrase Prompting with Instruction Induction
A Neural Attention Model for Abstractive Sentence Summarization
Impact of Quality and Quantity of Corpora on Stochastic Generation
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
Understanding the Difficulty of Training Transformers
SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL
Learning to Classify Email into "Speech Acts"
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout
Online Learning for Inexact Hypergraph Search
Knowledge Graph Generation From Text
A Bayesian Approach for Sequence Tagging with Crowds
Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
Unifying Text, Tables, and Images for Multimodal Question Answering
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
Third-Party Aligner for Neural Word Alignments
Fine-grained Contrastive Learning for Relation Extraction
Chinese Lexical Substitution: Dataset and Method
Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
Understanding Politics via Contextualized Discourse Processing
Multilingual Robust Anaphora Resolution
NLP-PINGAN-TECH @ CL-SciSumm 2020
Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation
TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Adversarial Text Generation via Sequence Contrast Discrimination
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
Applying Contrastive Learning to Code Vulnerability Type Classification
Attribute or Abstain: Large Language Models as Long Document Assistants
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction
Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context Richness
Discriminative Improvements to Distributional Sentence Similarity
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions
Joint Turn and Dialogue level User Satisfaction Estimation on Mulit-Domain Conversations
The VerbCorner Project: Toward an Empirically-Based Semantic Decomposition of Verbs
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Agent-Specific Deontic Modality Detection in Legal Language
Dynamic Augmentation Data Selection for Few-shot Text Classification
TuringQ: Benchmarking AI Comprehension in Theory of Computation
Generative Models for Automatic Medical Decision Rule Extraction from Text
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
Written Justifications are Key to Aggregate Crowdsourced Forecasts
Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination
Visual Bilingual Lexicon Induction with Transferred ConvNet Features
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries
MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
SEAL: Interactive Tool for Systematic Error Analysis and Labeling
Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
Mapping Language to Code in Programmatic Context
Source-Side Classifier Preordering for Machine Translation
Reproducibility Issues for BERT-based Evaluation Metrics
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training
Loss Minimization in Parse Reranking
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists
Atomic Inference for NLI with Generated Facts as Atoms
Task Compass: Scaling Multi-task Pre-training with Task Prefix
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
Automatically Generated Definitions and their utility for Modeling Word Meaning
PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation
Mitigating Framing Bias with Polarity Minimization Loss
DropMix: A Textual Data Augmentation Combining Dropout with Mixup
Understanding Back-Translation at Scale
Unsupervised Named Entity Disambiguation for Low Resource Domains
Automatic Linking of Judgements to UK Supreme Court Hearings
Unveiling the Implicit Toxicity in Large Language Models
PCMID: Multi-Intent Detection through Supervised Prototypical Contrastive Learning
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
Modeling Human Reading with Neural Attention
LIDA: Lightweight Interactive Dialogue Annotator
Search Augmented Instruction Learning
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2021, Virtual, November 10, 2021
The Feature Subspace Method for SMT System Combination
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders
Self-training Large Language Models through Knowledge Detection
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
ODIST: Open World Classification via Distributionally Shifted Instances
Target-Aware Language Modeling via Granular Data Sampling
Improving Word Sense Disambiguation with Translations
PermuteFormer: Efficient Relative Position Encoding for Long Sequences
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering
"A Tale of Two Movements': Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction
Probing Task-Oriented Dialogue Representation from Language Models
Discovery of Term Variation in Japanese Web Search Queries
Better Synchronous Binarization for Machine Translation
Evaluating Large Language Models via Linguistic Profiling
Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping
Does Self-Rationalization Improve Robustness to Spurious Correlations?
Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model
CoRec: An Easy Approach for Coordination Recognition
Analyzing Redundancy in Pretrained Transformer Models
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition
Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference
Syntactic Scaffolds for Semantic Structures
IR&TM-NJUST@CLSciSumm 20
How Far are We from Robust Long Abstractive Summarization?
Can ChatGPT Assess Human Personalities? A General Evaluation Framework
Active Learning and the Total Cost of Annotation
Learning Informative Representations of Biomedical Relations with Latent Variable Models
A Method for Open-Vocabulary Speech-Driven Text Retrieval
Model Balancing Helps Low-data Training and Fine-tuning
Pyramidal Recurrent Unit for Language Modeling
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
Hybrid Ways to Improve Domain Independence in an ML Dependency Parser
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search
CommVQA: Situating Visual Question Answering in Communicative Contexts
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures
Using Semantic Roles to Improve Question Answering
Knowledge Graph Alignment with Entity-Pair Embedding
Exploring Discourse Structure in Document-level Machine Translation
Advancing Large Language Model Attribution through Self-Improving
Syllable-level Neural Language Model for Agglutinative Language
Induction Networks for Few-Shot Text Classification
Fair NLP Models with Differentially Private Text Encoders
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding
Improving Bilingual Projections via Sparse Covariance Matrices
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
Building the Directed Semantic Graph for Coherent Long Text Generation
TL;DR: Mining Reddit to Learn Automatic Summarization
Direct Output Connection for a High-Rank Language Model
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction
Towards Realistic Single-Task Continuous Learning Research for NER
Controllable Dialogue Simulation with In-context Learning
Minimum Bayes-Risk Word Alignments of Bilingual Texts
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation
Put It Back: Entity Typing with Language Model Enhancement
Using Foreign Inclusion Detection to Improve Parsing Performance
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
Character-centric Story Visualization via Visual Planning and Token Alignment
On the Importance of Delexicalization for Fact Verification
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
High-risk learning: acquiring new word vectors from tiny data
ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning