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Showing 3126–3150 of 10752 papers

TitleStatusHype
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition—0
DLS@CU: Sentence Similarity from Word Alignment—0
DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings—0
Beyond Single-Sentence Prompts: Upgrading Value Alignment Benchmarks with Dialogues and Stories—0
DMix: Distance Constrained Interpolative Mixup—0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
DNN adaptation by automatic quality estimation of ASR hypotheses—0
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval—0
A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction—0
A Compositional Approach to Language Modeling—0
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation—0
DocEE: A Large-Scale Dataset for Document-level Event Extraction—0
A two-way translation system of Chinese sign language based on computer vision—0
Doc-Guided Sent2Sent++: A Sent2Sent++ Agent with Doc-Guided memory for Document-level Machine Translation—0
Towards Understanding Domain Adapted Sentence Embeddings for Document Retrieval—0
A Generic NLI approach for Classification of Sentiment Associated with Therapies—0
DOCmT5: Document-Level Pre-training of Multilingual Language Models—0
DOCmT5: Document-Level Pretraining of Multilingual Language Models—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture—0
Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers—0
Emergent Translation in Multi-Agent Communication—0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning—0
Crowdsourcing for Evaluating Machine Translation Quality—0
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