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TitleStatusHype
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records—0
Distributed Attention for Grounded Image Captioning—0
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations—0
Distributed neural encoding of binding to thematic roles—0
Distributional Inclusion Hypothesis for Tensor-based Composition—0
Distributional properties of political dogwhistle representations in Swedish BERT—0
Distributional Sentence Entailment Using Density Matrices—0
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation—0
Analyzing Wrap-Up Effects through an Information-Theoretic Lens—0
EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos—0
DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model—0
Diverse Machine Translation with a Single Multinomial Latent Variable—0
Diverse Pretrained Context Encodings Improve Document Translation—0
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding—0
Emotion Classification by Jointly Learning to Lexiconize and Classify—0
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents—0
Emotion recognition by fusing time synchronous and time asynchronous representations—0
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction—0
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models—0
CSE: Conceptual Sentence Embeddings based on Attention Model—0
Audience-specific Explanations for Machine Translation—0
Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning BERT-based Language Models for Binary Classification—0
Beyond Sentence-Level End-to-End Speech Translation: Context Helps—0
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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