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TitleStatusHype
PoMo: Generating Entity-Specific Post-Modifiers in Context—0
Portable, layer-wise task performance monitoring for NLP models—0
PosEdiOn: Post-Editing Assessment in PythOn—0
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales—0
Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection—0
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue—0
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network—0
Position Offset Label Prediction for Grammatical Error Correction—0
Power in Numbers: Robust reading comprehension by finetuning with four adversarial sentences per example—0
Practical Perspectives on Quality Estimation for Machine Translation—0
Practical token pruning for foundation models in few-shot conversational virtual assistant systems—0
Pragmatic inference of scalar implicature by LLMs—0
PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction—0
Predicate-Argument Based Bi-Encoder for Paraphrase Identification—0
Predicate-Argument Based Bi-Encoder for Paraphrase Identification—0
Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives—0
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation—0
Predicting and Understanding Law-Making with Word Vectors and an Ensemble Model—0
Predicting Grammaticality on an Ordinal Scale—0
Predicting Human Activities from User-Generated Content—0
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks—0
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization—0
Predicting Japanese scrambling in the wild—0
Predicting Readiness to Engage in Psychotherapy of People with Chronic Pain Based on their Pain-Related Narratives Saar—0
Predicting scalar diversity with context-driven uncertainty over alternatives—0
Predicting scalar inferences from “or” to “not both” using neural sentence encoders—0
Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure—0
Predicting sentential semantic compatibility for aggregation in text-to-text generation—0
Predicting the Argumenthood of English Prepositional Phrases—0
Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports—0
Predicting the number of errors in human translation using source text and translator characteristics—0
Predicting the presence of a Matrix Language in code-switching—0
Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records—0
Prediction of speech intelligibility with DNN-based performance measures—0
Predictive Incremental Parsing Helps Language Modeling—0
Prefix Embeddings for In-context Machine Translation—0
Prefix-Tuning Based Unsupervised Text Style Transfer—0
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency—0
Preliminary experimentation with combinations and extensions of forward-looking sentence detection wordlists—0
Pre-ordering of phrase-based machine translation input in translation workflow—0
Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments—0
Preserving Cross-Linguality of Pre-trained Models via Continual Learning—0
Pretrained Ensemble Learning for Fine-Grained Propaganda Detection—0
Pre-trained Language Model Based Active Learning for Sentence Matching—0
Pre-trained Language Model Representations for Language Generation—0
Pretrained Language Models for Document-Level Neural Machine Translation—0
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification—0
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information—0
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning—0
Pre-training Pre-trained Models with Auxiliary Labels and Fine-tuning for Text Classification—0
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