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Found 10 papers, 2 papers with code
CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
Recent years have witnessed a significant increase in the performance of Vision and Language tasks.
Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation
The model is used to preprocess source sentences of multiple low-resource language pairs.
Hierarchical Encoders for Modeling and Interpreting Screenplays
While natural language understanding of long-form documents is still an open challenge, such documents often contain structural information that can inform the design of models for encoding them.
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles
Users often wish to survey reviews or review snippets from the perspective of a certain aspect, which has resulted in a large body of work on aspect identification and extraction from such corpora.
Paraphrase-Supervised Models of Compositionality
Compositional vector space models of meaning promise new solutions to stubborn language understanding problems.
Infinite Mixed Membership Matrix Factorization
Rating and recommendation systems have become a popular application area for applying a suite of machine learning techniques.
Language Modeling with Power Low Rank Ensembles
We present power low rank ensembles (PLRE), a flexible framework for n-gram language modeling where ensembles of low rank matrices and tensors are used to obtain smoothed probability estimates of words in context.
