yusuke1997/dblp-id-title huggingface dataset:
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, 18-21 October 2013, Grand Hyatt Seattle, Seattle, Washington, USA, A meeting of SIGDAT, a Special Interest Group of the ACL
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks
Negative Training Data Can be Harmful to Text Classification
Analogs of Linguistic Structure in Deep Representations
Resource-Enhanced Neural Model for Event Argument Extraction
Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
Discriminative Substring Decoding for Transliteration
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
MSMO: Multimodal Summarization with Multimodal Output
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
MaNtLE: Model-agnostic Natural Language Explainer
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
On Generating Characteristic-rich Question Sets for QA Evaluation
A Span Selection Model for Semantic Role Labeling
Computing Word-Pair Antonymy
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
Open Domain Targeted Sentiment
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Distilling Structured Knowledge for Text-Based Relational Reasoning
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
Lexicosyntactic inference in neural models
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling
Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification
Speculative Sampling in Variational Autoencoders for Dialogue Response Generation
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing
Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, SCAI@EMNLP 2018, Brussels, Belgium, October 31, 2018
Prompt-based Distribution Alignment for Domain Generalization in Text Classification
TSTR: Target Similarity Tuning Meets the Real World
On Bilingual Lexicon Induction with Large Language Models
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
Learning to Translate: A Query-Specific Combination Approach for Cross-Lingual Information Retrieval
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
Text-Only Training for Image Captioning using Noise-Injected CLIP
Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning
Conditional Generation and Snapshot Learning in Neural Dialogue Systems
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models
Bootstrapping a Crosslingual Semantic Parser
Unveiling the Invisible: Captioning Videos with Metaphors
Improved Abusive Comment Moderation with User Embeddings
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech
The Measure of a Model
Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers
Towards Interpreting BERT for Reading Comprehension Based QA
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails
VeriScore: Evaluating the factuality of verifiable claims in long-form text generation
Supervising Unsupervised Open Information Extraction Models
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Data Driven Grammatical Error Detection in Transcripts of Children's Speech
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
Syntactic Substitutability as Unsupervised Dependency Syntax
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
Variational Neural Discourse Relation Recognizer
ABSEval: An Agent-based Framework for Script Evaluation
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation
Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
Bridging Perception, Memory, and Inference through Semantic Relations
Token-level Adaptive Training for Neural Machine Translation
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
Are Large Language Models Capable of Generating Human-Level Narratives?
Can Large Language Models Learn Independent Causal Mechanisms?
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
EpiK-Eval: Evaluation for Language Models as Epistemic Models
Paired Examples as Indirect Supervision in Latent Decision Models
Can't Remember Details in Long Documents? You Need Some R&R
Discriminating Gender on Twitter
Unsupervised Text Style Transfer with Padded Masked Language Models
Eigencharacter: An Embedding of Chinese Character Orthography
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
Exploring Quantization for Efficient Pre-Training of Transformer Language Models
Dialect Transfer for Swiss German Speech Translation
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
SOUL: Towards Sentiment and Opinion Understanding of Language
A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models
Enhancing Temporal Modeling of Video LLMs via Time Gating
Can Language Models Serve as Temporal Knowledge Bases?
Academics Can Contribute to Domain-Specialized Language Models
Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification
Graph-based Model Generation for Few-Shot Relation Extraction
Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset
Scaling to Large3 Data: An Efficient and Effective Method to Compute Distributional Thesauri
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation
Learning Verb Inference Rules from Linguistically-Motivated Evidence
Generative Table Pre-training Empowers Models for Tabular Prediction
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
Context Comparison of Bursty Events in Web Search and Online Media
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
Incremental Semantic Role Labeling with Tree Adjoining Grammar
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Is GPT-4 a Good Data Analyst?
Task-Agnostic Low-Rank Adapters for Unseen English Dialects
Event-Driven Emotion Cause Extraction with Corpus Construction
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
A State-Vector Framework for Dataset Effects
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
Knowledge Graph and Text Jointly Embedding
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
A Relation-Oriented Clustering Method for Open Relation Extraction
Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case
Zero-Shot Cross-Lingual Transfer with Meta Learning
R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation
Effective distributed representations for academic expert search
Gatekeeper to save COGS and improve efficiency of Text Prediction
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
Using the Past Knowledge to Improve Sentiment Classification
The Inside-Outside Recursive Neural Network model for Dependency Parsing
Integrating Plutchik's Theory with Mixture of Experts for Enhancing Emotion Classification
Rethinking Token Reduction for State Space Models
Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models
Exploiting Labeled and Unlabeled Data via Transformer Fine-tuning for Peer-Review Score Prediction
EASSE: Easier Automatic Sentence Simplification Evaluation
MixKMeans: Clustering Question-Answer Archives
Learning to Predict Code-Switching Points
Probabilistic Context-Free Grammars for Syllabification and Grapheme-to-Phoneme Conversion
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
Building Multi-domain Dialog State Trackers from Single-domain Dialogs
WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check
Identifying Morality Frames in Political Tweets using Relational Learning
Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues
BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions
"A Buster Keaton of Linguistics": First Automated Approaches for the Extraction of Vossian Antonomasia
Part-of-speech Taggers for Low-resource Languages using CCA Features
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, LANTERN@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019
BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature
Dimsum @LaySumm 20
Domain Adaptation via Prompt Learning for Alzheimer's Detection
Neural Sentiment Classification with User and Product Attention
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities
Self-Renewal Prompt Optimizing with Implicit Reasoning
Explicit Planning Helps Language Models in Logical Reasoning
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Extending a Thesaurus in the Pan-Chinese Context
Understanding User Resistance Strategies in Persuasive Conversations
Orthographic Syllable as basic unit for SMT between Related Languages
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding
ProsocialDialog: A Prosocial Backbone for Conversational Agents
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
ForumSum: A Multi-Speaker Conversation Summarization Dataset
Hyperdecoders: Instance-specific decoders for multi-task NLP
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism
Open Knowledge Graphs Canonicalization using Variational Autoencoders
Leave-one-out Word Alignment without Garbage Collector Effects
Progressive Self-Training with Discriminator for Aspect Term Extraction
Unifying Data Perspectivism and Personalization: An Application to Social Norms
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
On Long-Tailed Phenomena in Neural Machine Translation
Learning grounded word meaning representations on similarity graphs
Truncation Sampling as Language Model Desmoothing
Journalistic Guidelines Aware News Image Captioning
Language-Conditioned Feature Pyramids for Visual Selection Tasks
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation
Cross-Language Information Retrieval for Technical Documents
MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos
A Training Data Recipe to Accelerate A* Search with Language Models
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
Non-autoregressive Text Editing with Copy-aware Latent Alignments
A Teacher-Student Framework for Maintainable Dialog Manager
Speed Reading: Learning to Read ForBackward via Shuttle
CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation
Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions
Reducing Dimensions of Tensors in Type-Driven Distributional Semantics
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification
Statistical Machine Translation Using Coercive Two-Level Syntactic Transduction
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Grounding Language in Multi-Perspective Referential Communication
Toward a Task of Feedback Comment Generation for Writing Learning
Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework
Recursive Autoencoders for ITG-Based Translation
Chinese Zero Pronoun Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
CodeFort: Robust Training for Code Generation Models
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
DiscoSense: Commonsense Reasoning with Discourse Connectives
Small but Mighty: New Benchmarks for Split and Rephrase
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar
uniblock: Scoring and Filtering Corpus with Unicode Block Information
Joint Learning for Emotion Classification and Emotion Cause Detection
Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data
Revisiting Robust Neural Machine Translation: A Transformer Case Study
ConjNLI: Natural Language Inference Over Conjunctive Sentences
FANATIC: FAst Noise-Aware TopIc Clustering
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
Pragmatic Issue-Sensitive Image Captioning
On Amortizing Inference Cost for Structured Prediction
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
Towards relation extraction from speech
Local Contrastive Editing of Gender Stereotypes
LMSOC: An Approach for Socially Sensitive Pretraining
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization
Rule induction for global explanation of trained models
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Maximum Entropy Models for FrameNet Classification
Real-Word Spelling Correction using Google Web 1T 3-grams
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Graph-Based Collective Lexical Selection for Statistical Machine Translation
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
Unsupervised Concept Annotation using Latent Dirichlet Allocation and Segmental Methods
Coreferential Reasoning Learning for Language Representation
Large Margin Neural Language Model
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance
R2H: Building Multimodal Navigation Helpers that Respond to Help Requests
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task
Textual Manifold-based Defense Against Natural Language Adversarial Examples
Joint Relational Embeddings for Knowledge-based Question Answering
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets
FENAS: Flexible and Expressive Neural Architecture Search
Improving Pacing in Long-Form Story Planning
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
OEE-CFC: A Dataset for Open Event Extraction from Chinese Financial Commentary
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence
How Entangled is Factuality and Deception in German?
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Exploring Human Gender Stereotypes with Word Association Test
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Bilingual dictionary generation for low-resourced language pairs
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
CHIRON: Rich Character Representations in Long-Form Narratives
A Large-Scale Dataset for Empathetic Response Generation
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts
Evaluating the Robustness of Neural Language Models to Input Perturbations
A Systematic Investigation of Commonsense Knowledge in Large Language Models
Locally Training the Log-Linear Model for SMT
Exploring the Learning Capabilities of Language Models using LEVERWORLDS
Interpretation of NLP models through input marginalization
Aggregate and mixed-order Markov models for statistical language processing
Towards Explainable Chinese Native Learner Essay Fluency Assessment: Dataset, Tasks, and Method
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
An Adaptive Prompt Generation Framework for Task-oriented Dialogue System
Optimized Speculative Sampling for GPU Hardware Accelerators
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
Perhaps PTLMs Should Go to School - A Task to Assess Open Book and Closed Book QA
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection
DocumentNet: Bridging the Data Gap in Document Pre-training
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing
Impressions: Visual Semiotics and Aesthetic Impact Understanding
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity