yusuke1997/dblp-id-title huggingface dataset:
Max-Margin Synchronous Grammar Induction for Machine Translation
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting
Core Semantic First: A Top-down Approach for AMR Parsing
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
Learning and Evaluating Sparse Interpretable Sentence Embeddings
De-Conflated Semantic Representations
Generating Confusion Sets for Context-Sensitive Error Correction
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability
CoEdIT: Text Editing by Task-Specific Instruction Tuning
Multi-Task Label Embedding for Text Classification
Multi-Word Expression Identification Using Sentence Surface Features
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues
Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts
Training Factored PCFGs with Expectation Propagation
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation
ProConSuL: Project Context for Code Summarization with LLMs
Overcoming the Lack of Parallel Data in Sentence Compression
Search to Pass Messages for Temporal Knowledge Graph Completion
Joint A* CCG Parsing and Semantic Role Labelling
Opinion Summarization by Weak-Supervision from Mix-structured Data
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
Regression Aware Inference with LLMs
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
Document Classification for COVID-19 Literature
Fusion-Eval: Integrating Assistant Evaluators with LLMs
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection
Predicting Reference: What do Language Models Learn about Discourse Models?
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation
Improving HowNet-Based Chinese Word Sense Disambiguation with Translations
Entity Linking within a Social Media Platform: A Case Study on Yelp
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
Learning CNF Blocking for Large-scale Author Name Disambiguation
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
Creator Context for Tweet Recommendation
Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021
Stack-based Multi-layer Attention for Transition-based Dependency Parsing
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification
Language Modeling with Sparse Product of Sememe Experts
Distilling Multiple Domains for Neural Machine Translation
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios
Adversarial Semantic Collisions
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
Large Language Models Know What To Say But Not When To Speak
Describing Sets of Images with Textual-PCA
The Influence of Argument Structure on Semantic Role Assignment
Addressing Troublesome Words in Neural Machine Translation
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning
Self-training Language Models for Arithmetic Reasoning
Transfer Learning for Low-Resource Neural Machine Translation
Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank
On the Reliability of Psychological Scales on Large Language Models
Synthetic Multimodal Question Generation
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models
Entire Relaxation Path for Maximum Entropy Problems
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2
Fitting Sentence Level Translation Evaluation with Many Dense Features
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning
Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering
Soft-Supervised Learning for Text Classification
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
What's in a name? In some languages, grammatical gender
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Regularized Interlingual Projections: Evaluation on Multilingual Transliteration
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
IsOBS: An Information System for Oracle Bone Script
You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM
Cognitive Bias in Decision-Making with LLMs
Compare without Despair: Reliable Preference Evaluation with Generation Separability
Beyond Canonical Texts: A Computational Analysis of Fanfiction
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
Query-aware Multi-modal based Ranking Relevance in Video Search
RAR: Retrieval-augmented retrieval for code generation in low resource languages
Concept Pointer Network for Abstractive Summarization
Incorporating Discrete Translation Lexicons into Neural Machine Translation
Does syntax help discourse segmentation? Not so much
MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Weakly-supervised Text Classification Based on Keyword Graph
A Unified View of Evaluation Metrics for Structured Prediction
Machine Translation Robustness to Natural Asemantic Variation
Improving Statistical Machine Translation with a Multilingual Paraphrase Database
Abstractive Summarization of Product Reviews Using Discourse Structure
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy
ASTD: Arabic Sentiment Tweets Dataset
Revisiting the Knowledge Injection Frameworks
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
XNLI: Evaluating Cross-lingual Sentence Representations
Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics
Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Guiding AMR Parsing with Reverse Graph Linearization
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse
IndicXNLI: Evaluating Multilingual Inference for Indian Languages
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework
Bootstrapped Named Entity Recognition for Product Attribute Extraction
Learning to Predict Charges for Criminal Cases with Legal Basis
Automatic Extraction of New Words from Japanese Texts using Generalized Forward-Backward Search
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements
Reconsidering the Past: Optimizing Hidden States in Language Models
Unsupervised Mining of Lexical Variants from Noisy Text
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task
Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation
Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
Neuro-Symbolic Reinforcement Learning with First-Order Logic
CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
Demonstration Selection Strategies for Numerical Time Series Data-to-Text
What do RNN Language Models Learn about Filler-Gap Dependencies?
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Weakly- and Semi-supervised Evidence Extraction
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting
MeaeQ: Mount Model Extraction Attacks with Efficient Queries
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
SQL-to-Text Generation with Graph-to-Sequence Model
Semi-Supervised Sequence Modeling with Cross-View Training
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
Phrase-based Compressive Cross-Language Summarization
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
Wiki-ly Supervised Part-of-Speech Tagging
MalayMMLU: A Multitask Benchmark for the Low-Resource Malay Language
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
Multi-turn Response Selection using Dialogue Dependency Relations
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy
Automatic Term Name Generation for Gene Ontology: Task and Dataset
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective
Does Pretraining for Summarization Require Knowledge Transfer?
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model
Generating Natural Language Proofs with Verifier-Guided Search
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
Query Rewriting in Retrieval-Augmented Large Language Models
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling
Incorporating Behavioral Hypotheses for Query Generation
Improving Query Spelling Correction Using Web Search Results
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
Higher-order logical inference with compositional semantics
Statistical Significance Tests for Machine Translation Evaluation
Label Confidence Weighted Learning for Target-level Sentence Simplification
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Can NLI Models Verify QA Systems' Predictions?
Corpus-Based Learning for Noun Phrase Coreference Resolution
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information
AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
On the Impact of Cross-Domain Data on German Language Models
ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
Topic Signatures in Political Campaign Speeches
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
Monolingual Phrase Alignment on Parse Forests
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
Identifying Semantic Roles Using Combinatory Categorial Grammar
CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension
Compositional Phrase Alignment and Beyond
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning
Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
Topic Analysis Using a Finite Mixture Model
A Novel Discriminative Framework for Sentence-Level Discourse Analysis
Probabilistic Case-based Reasoning in Knowledge Bases
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning
Investigating Online Community Engagement through Stancetaking
De-Biased Court's View Generation with Causality
'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
A large annotated corpus for learning natural language inference
MAssistant: A Personal Knowledge Assistant for MOOC Learners
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs
On the Empirical Complexity of Reasoning and Planning in LLMs
Neural Naturalist: Generating Fine-Grained Image Comparisons
Event Role Extraction using Domain-Relevant Word Representations
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
Generating Information-Seeking Conversations from Unlabeled Documents
Multi-Predicate Semantic Role Labeling
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification
Sound-Word2Vec: Learning Word Representations Grounded in Sounds
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
Caption Enriched Samples for Improving Hateful Memes Detection
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Dense Retrieval as Indirect Supervision for Large-space Decision Making
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
Adversarial Learning for Neural Dialogue Generation
Event Causality Identification with Synthetic Control
Learning with Limited Data for Multilingual Reading Comprehension
Visuo-Lingustic Question Answering (VLQA) Challenge
Some Languages Seem Easier to Parse Because Their Treebanks Leak
Brighter than Gold: Figurative Language in User Generated Comparisons
Zero-Shot-BERT-Adapters: a Zero-Shot Pipeline for Unknown Intent Detection
Text Genre and Training Data Size in Human-like Parsing
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models
Is it out yet? Automatic Future Product Releases Extraction from Web Data
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Search-Aware Tuning for Hierarchical Phrase-based Decoding
Investigating African-American Vernacular English in Transformer-Based Text Generation
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs
Iterative Dual Domain Adaptation for Neural Machine Translation
Can Pre-training help VQA with Lexical Variations?
A Weakly Supervised Learning Approach for Spoken Language Understanding
Interpretability-based Tailored Knowledge Editing in Transformers
Corpus-level Fine-grained Entity Typing Using Contextual Information
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011, 27-31 July 2011, John McIntyre Conference Centre, Edinburgh, UK, A meeting of SIGDAT, a Special Interest Group of the ACL
Nearest Neighbor Normalization Improves Multimodal Retrieval
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment
Prefix-Tuning Based Unsupervised Text Style Transfer
Exploring Methods for Generating Feedback Comments for Writing Learning
Retrieval Augmented Code Generation and Summarization
ArMeme: Propagandistic Content in Arabic Memes
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition
Translating Headers of Tabular Data: A Pilot Study of Schema Translation
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge
Generative Knowledge Graph Construction: A Review
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
Characterizing Interactions and Relationships between People
DiffusionSL: Sequence Labeling via Tag Diffusion Process
Attention-Enhancing Backdoor Attacks Against BERT-based Models
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
Cross-lingual Character-Level Neural Morphological Tagging
Towards Neural Machine Translation with Latent Tree Attention
ARAML: A Stable Adversarial Training Framework for Text Generation
Statistical Ranking in Tactical Generation
Supervised Models for Coreference Resolution
Approximating CKY with Transformers
TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation
Enhancing Textbooks with Visuals from the Web for Improved Learning
The Concordia NLG Surface Realizer at SRST 2019
Topic Transferable Table Question Answering
Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI)
Instance Based Lexical Entailment for Ontology Population
Unifying Multimodal Retrieval via Document Screenshot Embedding
Word Level Language Identification in Online Multilingual Communication
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
A Theme-Rewriting Approach for Generating Algebra Word Problems
CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
Where is Your Evidence: Improving Fact-checking by Justification Modeling
Modelling Sequential Text with an Adaptive Topic Model
Recall and Learn: A Memory-augmented Solver for Math Word Problems
M2C: Towards Automatic Multimodal Manga Complement
Asymmetric Features Of Human Generated Translation
Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries
From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items
Pseudointelligence: A Unifying Lens on Language Model Evaluation
Privacy Evaluation Benchmarks for NLP Models
HowtogetaChineseName(Entity): Segmentation and Combination Issues
Don't Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
Women Wearing Lipstick: Measuring the Bias Between an Object and Its Related Gender
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
A Bayesian Framework for Information-Theoretic Probing
Active Learning for BERT: An Empirical Study
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models
Sentiment Analysis on the People's Daily
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
Taxonomy Construction Using Syntactic Contextual Evidence
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
Using Pre-Trained Transformer for Better Lay Summarization
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
Lazy-k Decoding: Constrained Decoding for Information Extraction
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation