yusuke1997/dblp-id-title huggingface dataset:
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
Local Histograms of Character N-grams for Authorship Attribution
Revised Generalized Phrase Structure Grammar
Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification
Distilling Knowledge for Search-based Structured Prediction
Joint Evaluation of Morphological Segmentation and Syntactic Parsing
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
The Computational Difficulty of ID/LP Parsing
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
Point Process Modelling of Rumour Dynamics in Social Media
Discriminating Image Senses by Clustering with Multimodal Features
MINER: Multi-Interest Matching Network for News Recommendation
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets
Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Multipath parsing in the brain
Measuring metaphoricity
Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization
Whose Thumb Is It Anyway? Classifying Author Personality from Weblog Text
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Extracting Polymer Nanocomposite Samples from Full-Length Documents
An Integrated Archictecture for Shallow and Deep Processing
Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains
Modularized Zero-shot VQA with Pre-trained Models
On Approximately Searching for Similar Word Embeddings
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models
Monotonic Representation of Numeric Attributes in Language Models
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ISR: Self-Refining Referring Expressions for Entity Grounding
Identifying Text Polarity Using Random Walks
Fast Consensus Decoding over Translation Forests
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding
REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation
A Bayesian Mixed Effects Model of Literary Character
Extract and Attend: Improving Entity Translation in Neural Machine Translation
Knowing the No-match: Entity Alignment with Dangling Cases
KLcpos3 - a Language Similarity Measure for Delexicalized Parser Transfer
Automatic Sanskrit Segmentizer Using Finite State Transducers
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
A Sentence Interaction Network for Modeling Dependence between Sentences
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification
Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1, 500+ Language Pairs
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy
Bootstrapping Neural Relation and Explanation Classifiers
Detecting Turnarounds in Sentiment Analysis: Thwarting
Memory-Efficient and Thread-Safe Quasi-Destructive Graph Unification
AdaEdit: Advancing Continuous Knowledge Editing For Large Language Models
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
A Dual-Mind Framework for Strategic and Expressive Negotiation Agent
Play the Language: Play Coreference
Beyond Browsing: API-Based Web Agents
Performance Issues and Error Analysis in an Open-Domain Question Answering System
SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams
Human Language Technologies for Knowledge Management
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Confidence Driven Unsupervised Semantic Parsing
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
Efficient Argument Structure Extraction with Transfer Learning and Active Learning
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines
Evaluating Dynamic Topic Models
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
The Harmonic Structure of Information Contours
Investigating Language Universal and Specific Properties in Word Embeddings
Effective Adversarial Regularization for Neural Machine Translation
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
On the Robustness of Self-Attentive Models
Interactive Discourse: Looking to the Future
Improving English Subcategorization Acquisition with Diathesis Alternations as Heuristic Information
Named Entity Transliteration with Comparable Corpora
A Decade of Automatic Content Evaluation of News Summaries: Reassessing the State of the Art
Aerial Vision-and-Dialog Navigation
TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation
Generating Summaries with Topic Templates and Structured Convolutional Decoders
A Unification Method for Disjunctive Feature Descriptions
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
ProtoLens: Advancing Prototype Learning for Fine-Grained Interpretability in Text Classification
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions
Semantic Information Preprocessing for Natural Language Interfaces to Databases
Exploiting Topic based Twitter Sentiment for Stock Prediction
Meta-Task Prompting Elicits Embeddings from Large Language Models
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
"What Is Your Evidence?" A Study of Controversial Topics on Social Media
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
Improving Named Entity Recognition via Bridge-based Domain Adaptation
An Empirical Study of Chinese Chunking
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution
Can Large Language Models Understand Argument Schemes?
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
Pareto Optimal Learning for Estimating Large Language Model Errors
An Empirical Study of Building a Strong Baseline for Constituency Parsing
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
Slamming: Training a Speech Language Model on One GPU in a Day
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
Syntactic Search by Example
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
Minimal Recursion Semantics as Dominance Constraints: Translation, Evaluation, and Analysis
Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
LTRAG: Enhancing Autoformalization and Self-refinement for Logical Reasoning with Thought-Guided RAG
Annotation and Classification of an Email Importance Corpus
Multi-word expressions in textual inference: Much ado about nothing?
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis
Do Transformers Need Deep Long-Range Memory?
A Subcategorization Acquisition System for French Verbs
Efficient Dialogue State Tracking by Selectively Overwriting Memory
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification
EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding
Fixed Length Word Suffix for Factored Statistical Machine Translation
A Context Free TAG Variant
Automatically Creating Bilingual Lexicons for Machine Translation from Bilingual Text
Crowdsourcing Inference-Rule Evaluation
Cross-modal Memory Networks for Radiology Report Generation
Restrictions on Tree Adjoining Languages
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning
CLIX: Cross-Lingual Explanations of Idiomatic Expressions
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
Syntactic Graphs and Constraint Satisfaction
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy
Question Answering Over Temporal Knowledge Graphs
An Open Multilingual System for Scoring Readability of Wikipedia
ToolSpectrum: Towards Personalized Tool Utilization for Large Language Models
Parallel Attention Network with Sequence Matching for Video Grounding
A Meta-framework for Spatiotemporal Quantity Extraction from Text
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
See It All: Contextualized Late Aggregation for 3D Dense Captioning
WSD as a Distributed Constraint Optimization Problem
Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation
Demographic Inference on Twitter using Recursive Neural Networks
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
Learning Monolingual Compositional Representations via Bilingual Supervision
Predicting pragmatic discourse features in the language of adults with autism spectrum disorder
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
Multi-Task Video Captioning with Video and Entailment Generation
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
Semantic Neighborhoods as Hypergraphs
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?
Examining Temporality in Document Classification
Corpus-Based Linguistic Indicators for Aspectual Classification
Mining Cross-Cultural Differences and Similarities in Social Media
Automating Temporal Annotation with TARSQI
ADEPT: An Adjective-Dependent Plausibility Task
Non-Verbal Cues for Discourse Structure
Rule Augmented Unsupervised Constituency Parsing
Multi-modal Sarcasm Generation: Dataset and Solution
On the data requirements of probing
Identifying Bad Semantic Neighbors for Improving Distributional Thesauri
Conditional Generators of Words Definitions
Evaluating Factuality in Cross-lingual Summarization
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Annotating and quantifying narrative time disruptions in modernist and hypertext fiction
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection
Unsupervised Extractive Opinion Summarization Using Sparse Coding
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation
Detection-Correction Structure via General Language Model for Grammatical Error Correction
Incorporating Textual Information on User Behavior for Personality Prediction
Parsing Japanese Honorifics in Unification-Based Grammar
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
Pay More Attention to Relation Exploration for Knowledge Base Question Answering
Table-based Fact Verification with Self-adaptive Mixture of Experts
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
K-order Ranking Preference Optimization for Large Language Models
Edit Distance Based Curriculum Learning for Paraphrase Generation
LJPCheck: Functional Tests for Legal Judgment Prediction
Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions
How Vocabulary Sharing Facilitates Multilingualism in LLaMA?
An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings
From English to Code-Switching: Transfer Learning with Strong Morphological Clues
Large Language Models are Built-in Autoregressive Search Engines
A Framework for Customizable Generation of Hypertext Presentations
Estimating Upper and Lower Bounds on the Performance of Word-Sense Disambiguation Programs
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
Are Dialects Better Prompters? A Case Study on Arabic Subjective Text Classification
How does Misinformation Affect Large Language Model Behaviors and Preferences?
Hypergraph based Understanding for Document Semantic Entity Recognition
Aspect Based Sentiment Analysis with Gated Convolutional Networks
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Document Similarity for Texts of Varying Lengths via Hidden Topics
CARE-STaR: Constraint-aware Self-taught Reasoner
ANAH: Analytical Annotation of Hallucinations in Large Language Models
Extracting a Representation from Text for Semantic Analysis
Continual Sequence Generation with Adaptive Compositional Modules
A Set Prediction Network For Extractive Summarization
Learning to Extract International Relations from Political Context
Discrete Latent Variable Representations for Low-Resource Text Classification
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point
Multi-word Measures: Modeling Semantic Change in Compound Nouns
Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models
Claim Synthesis via Predicate Recycling
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
Dynamic Evil Score-Guided Decoding: An Efficient Decoding Framework For Red-Team Model
Unsupervised Alignment of Privacy Policies using Hidden Markov Models
Neural Document Summarization by Jointly Learning to Score and Select Sentences
InstructEd: Soft-Instruction Tuning for Model Editing with Hops
Syntactic Process
HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models
Code and Named Entity Recognition in StackOverflow
AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation
Transductive Adaptation of Black Box Predictions
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable
Domain-Specific Paraphrase Extraction
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation
What is the Best Way for ChatGPT to Translate Poetry?
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event
Early Detection of Sexual Predators in Chats
Medical Relation Extraction with Manifold Models
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
Joint Modeling of Content and Discourse Relations in Dialogues
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
Impact of Evaluation Methodologies on Code Summarization
Specifying Viewpoint and Information Need with Affective Metaphors: A System Demonstration of the Metaphor-Magnet Web App/Service
OpenICL: An Open-Source Framework for In-context Learning
Trigger-Argument based Explanation for Event Detection
SignAlignLM: Integrating Multimodal Sign Language Processing into Large Language Models
Cross-Lingual Image Caption Generation
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Non-distributional Word Vector Representations
Towards segment-based recognition of argumentation structure in short texts
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
Error Detection for Statistical Machine Translation Using Linguistic Features
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
Topological Ordering of Function Words in Hierarchical Phrase-based Translation
Using Existing Systems to Supplement Small Amounts of Annotated Grammatical Relations Training Data
Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets
Should I Believe in What Medical AI Says? A Chinese Benchmark for Medication Based on Knowledge and Reasoning
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Automatic Acquisition of Subcategorization Frames from Untagged Text
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning
Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment
TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
Learning by Analogy: Diverse Questions Generation in Math Word Problem
Do Large Language Models Have "Emotion Neurons"? Investigating the Existence and Role
Sibylvariant Transformations for Robust Text Classification
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
A Theory of Parallelism and the Case of VP Ellipsis
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics
Combating Adversarial Misspellings with Robust Word Recognition
Co-Feedback Ranking for Query-Focused Summarization
Inferring Rewards from Language in Context
An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
Detection and Mitigation of the Negative Impact of Dataset Extractivity on Abstractive Summarization
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
CHEER-Ekman: Fine-grained Embodied Emotion Classification
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task
Statistical Corpus-Based Word Sense Disambiguation: Pseudowords vs. Real Ambiguous Words
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations
Joint and Conditional Estimation of Tagging and Parsing Models
Authorship Attribution of Late 19th Century Novels using GAN-BERT
Generated Knowledge Prompting for Commonsense Reasoning
Beyond Text: Characterizing Domain Expert Needs in Document Research
Statistical Sense Disambiguation with Relatively Small Corpora Using Dictionary Definitions
IAM: Efficient Inference through Attention Mapping between Different-scale LLMs
Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation
Dependency-based Convolutional Neural Networks for Sentence Embedding
SSP: Self-Supervised Post-training for Conversational Search
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Multimedia Blog Creation System using Dialogue with Intelligent Robot
A Synthetic Data Generation Framework for Grounded Dialogues
Early Stopping Based on Unlabeled Samples in Text Classification
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors