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TitleStatusHype
Improving Update Summarization via Supervised ILP and Sentence Reranking—0
Improving Vietnamese-English Medical Machine Translation—0
Improving Visually Grounded Sentence Representations with Self-Attention—0
Improving Visual Question Answering by Referring to Generated Paragraph Captions—0
Improving Word Alignment of Rare Words with Word Embeddings—0
Improving Word Embeddings Using Kernel PCA—0
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling—0
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context—0
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching—0
Improving Zero-Shot Event Extraction via Sentence Simplification—0
IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning—0
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks—0
SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives—0
INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion—0
Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar—0
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models—0
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA—0
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects—0
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method—0
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis—0
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification—0
Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision—0
Incorporating Global Visual Features into Attention-Based Neural Machine Translation—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Incorporating granularity bias as the margin into contrastive loss for video captioning—0
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