yusuke1997/dblp-id-title huggingface dataset:
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
Universal Semantic Parsing
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Portable, layer-wise task performance monitoring for NLP models
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure
Modular Self-Supervision for Document-Level Relation Extraction
Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework
Constructing Task-Specific Taxonomies for Document Collection Browsing
Answer-focused and Position-aware Neural Question Generation
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
Answer Quality Aware Aggregation for Extractive QA Crowdsourcing
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning
NLMs: Augmenting Negation in Language Models
Variation of Entropy and Parse Trees of Sentences as a Function of the Sentence Number
Multilingual Clustering of Streaming News
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short
Non-Autoregressive Neural Machine Translation: A Call for Clarity
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations
Learning a Lexicon and Translation Model from Phoneme Lattices
Self-Training PCFG Grammars with Latent Annotations Across Languages
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
Density-Aware Prototypical Network for Few-Shot Relation Classification
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning
A Generation-based Deductive Method for Math Word Problems
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages
MisinfoEval: Generative AI in the Era of "Alternative Facts"
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization
Detecting Latent Ideology in Expert Text: Evidence From Academic Papers in Economics
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting
Exploring Semantic Capacity of Terms
Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach
Multi-grained Attention Network for Aspect-Level Sentiment Classification
Sequence Models for Document Structure Identification in an Undeciphered Script
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples
An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language
Audience-Centric Natural Language Generation via Style Infusion
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
LOGAN: Local Group Bias Detection by Clustering
Ecologically Valid Explanations for Label Variation in NLI
Editing Common Sense in Transformers
Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Scheme
Discourse Planning with an N-gram Model of Relations
What is Hidden among Translation Rules
LEGOBench: Scientific Leaderboard Generation Benchmark
A Little Bit Is Worse Than None: Ranking with Limited Training Data
Computer Assisted Translation with Neural Quality Estimation and Auotmatic Post-Editing
Data Similarity is Not Enough to Explain Language Model Performance
Sentence-Permuted Paragraph Generation
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
A Casual Conversation System Using Modality and Word Associations Retrieved from the Web
An Entity-Topic Model for Entity Linking
Extractive Summarization by Maximizing Semantic Volume
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
Learning to Update Knowledge Graphs by Reading News
Multilingual Offensive Language Identification with Cross-lingual Embeddings
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
Automatic sentence segmentation of clinical record narratives in real-world data
A novel dependency-to-string model for statistical machine translation
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
Using LTAG Based Features in Parse Reranking
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Discovering Representation Sprachbund For Multilingual Pre-Training
GeoIndia: A Seq2Seq Geocoding Approach for Indian Addresses
BFClass: A Backdoor-free Text Classification Framework
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
Sentence Alignment for Monolingual Comparable Corpora
Dense Hierarchical Retrieval for Open-domain Question Answering
Systematic Biases in LLM Simulations of Debates
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
Jailbreaking LLMs with Arabic Transliteration and Arabizi
Building Context-aware Clause Representations for Situation Entity Type Classification
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
An Empirical Approach to the Interpretation of Superlatives
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
Revisiting Modularized Multilingual NMT to Meet Industrial Demands
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval
M³Seg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in ASR Transcripts
Speeding Up Neural Machine Translation Decoding by Cube Pruning
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework
Rethinking Positional Encoding in Tree Transformer for Code Representation
Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation
MultiDM-GCN: Aspect-Guided Response Generation in Multi-Domain Multi-Modal Dialogue System using Graph Convolution Network
Reordering Grammar Induction
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation
Joint Parsing and Disfluency Detection in Linear Time
Non-Autoregressive Machine Translation with Latent Alignments
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
Low-Resource Neural Headline Generation
Joint Passage Ranking for Diverse Multi-Answer Retrieval
Effective Inference for Generative Neural Parsing
A Multi-Perspective Analysis of Memorization in Large Language Models
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
Guiding Attention for Self-Supervised Learning with Transformers
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
Hierarchical Incremental Adaptation for Statistical Machine Translation
Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models
Label-Efficient Training for Next Response Selection
Animacy Detection with Voting Models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
Training Continuous Space Language Models: Some Practical Issues
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
Distributional measures of concept-distance: A task-oriented evaluation
From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Unsupervised Extraction of Dialogue Policies from Conversations
A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval
Modeling Localness for Self-Attention Networks
SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
Split and Merge: Aligning Position Biases in LLM-based Evaluators
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction
Neural Shift-Reduce CCG Semantic Parsing
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018: System Demonstrations, Brussels, Belgium, October 31 - November 4, 2018
Efficient Methods for Incorporating Knowledge into Topic Models
Metonymy Resolution as a Classification Task
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
Effects of Human Adversarial and Affable Samples on BERT Generalizability
Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study
A Cognitive Model of Semantic Network Learning
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics
AGReE: A system for generating Automated Grammar Reading Exercises
Making Pretrained Language Models Good Long-tailed Learners
Is Probing All You Need? Indicator Tasks as an Alternative to Probing Embedding Spaces
Story Morals: Surfacing value-driven narrative schemas using large language models
Improving Neural Abstractive Document Summarization with Structural Regularization
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
Revisiting Self-training for Few-shot Learning of Language Model
Distract Large Language Models for Automatic Jailbreak Attack
Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications
Evaluation methods for unsupervised word embeddings
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Robust ASR Error Correction with Conservative Data Filtering
A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune
Is Graph Structure Necessary for Multi-hop Question Answering?
STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants
Test-Time Self-Adaptive Small Language Models for Question Answering
Effective Fine-Tuning Methods for Cross-lingual Adaptation
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models
Locke's Holiday: Belief Bias in Machine Reading
A Critical Analysis of Document Out-of-Distribution Detection
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval
Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM
Towards Conversation Entailment: An Empirical Investigation
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
EDEN: Empathetic Dialogues for English Learning
Incremental Generation of Plural Descriptions: Similarity and Partitioning
Twitter-scale New Event Detection via K-term Hashing
Towards Robust Unsupervised Personal Name Disambiguation
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
A Synchronous Context Free Grammar for Time Normalization
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models
A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
Making Body Movement in Sign Language Corpus Accessible for Linguists and Machines with Three-Dimensional Normalization of MediaPipe
Fusion of Detected Objects in Text for Visual Question Answering
Unsupervised Relation Disambiguation with Order Identification Capabilities
Using Subcategorization to Resolve Verb Class Ambiguity
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing
An Analysis and Mitigation of the Reversal Curse
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, NLPmJ@EMNLP, Copenhagen, Denmark, September 7, 2017
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
A Geometric Approach to Mapping Bitext Correspondence
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators
Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information
Exploring In-Context Learning for Knowledge Grounded Dialog Generation
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
Improving Opinion-Target Extraction with Character-Level Word Embeddings
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets
Automatically Exposing Problems with Neural Dialog Models
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity
Moral Foundations of Large Language Models
Defining Knowledge: Bridging Epistemology and Large Language Models
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata
A Multilingual Neural Machine Translation Model for Biomedical Data
Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Models
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
ProofInfer: Generating Proof via Iterative Hierarchical Inference
Human Raters Cannot Distinguish English Translations from Original English Texts
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite
Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching
Detecting Short Passages of Similar Text in Large Document Collections
Continual Learning Long Short Term Memory
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
Harnessing WordNet Senses for Supervised Sentiment Classification
Adaptive Multi-pass Decoder for Neural Machine Translation
RepEval: Effective Text Evaluation with LLM Representation
Summarizing Community-based Question-Answer Pairs
Disentangling Transformer Language Models as Superposed Topic Models
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
Latent Semantic Analysis for Text Segmentation
A Systematic Exploration of Diversity in Machine Translation
Supervised Domain Enablement Attention for Personalized Domain Classification
Fine-Grained Grounding for Multimodal Speech Recognition
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Adversarial Text Generation using Large Language Models for Dementia Detection
impact of sample selection on in-context learning for entity extraction from scientific writing
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
MARCO: Multi-Agent Real-time Chat Orchestration
Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
Disentangling Uncertainty in Machine Translation Evaluation
A Fast and Accurate Dependency Parser using Neural Networks
Aspect Level Sentiment Classification with Deep Memory Network
Improving Word Sense Disambiguation Using Topic Features
A Maximum Entropy Chinese Character-Based Parser
Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals
Who Wrote When? Author Diarization in Social Media Discussions
Cache-based Document-level Statistical Machine Translation
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Analyzing Methods for Improving Precision of Pivot Based Bilingual Dictionaries
Too much of product information : Don't worry, let's look for evidence!
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView
Measuring Association Between Labels and Free-Text Rationales
Perceptions of Linguistic Uncertainty by Language Models and Humans
LIONs: An Empirically Optimized Approach to Align Language Models
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
Improving Event Duration Prediction via Time-aware Pre-training
An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives"
Learning the Structure of Variable-Order CRFs: a finite-state perspective
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Neural Segmental Hypergraphs for Overlapping Mention Recognition
SeNsER: Learning Cross-Building Sensor Metadata Tagger
Distantly Supervised Relation Extraction in Federated Settings
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching
Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text
Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs
Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative Language
On the Sub-Layer Functionalities of Transformer Decoder
Context Limitations Make Neural Language Models More Human-Like
Learning to Tag Multilingual Texts Through Observation
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text
Instructed Language Models with Retrievers Are Powerful Entity Linkers
Dissecting Fine-Tuning Unlearning in Large Language Models
Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation
Improved Local Citation Recommendation Based on Context Enhanced with Global Information
Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision
Is it Really that Difficult to Parse German?
Using Semantically Motivated Estimates to Help Subcategorization Acquisition
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
Multiple Instance Learning for Offensive Language Detection
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
Robust and Interpretable Grounding of Spatial References with Relation Networks
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
Improving Large-scale Paraphrase Acquisition and Generation
Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations