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Found 8 papers, 3 papers with code
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents
For measuring topical diversity of text documents, our HiTR approach improves over the state-of-the-art measured on PubMed dataset.
Attentive Memory Networks: Efficient Machine Reading for Conversational Search
We argue that the process of building a representation of the conversation can be framed as a machine reading task, where an automated system is presented with a number of statements about which it should answer questions.
Neural Networks for Information Retrieval
Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them.
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
We present the Siamese Continuous Bag of Words (Siamese CBOW) model, a neural network for efficient estimation of high-quality sentence embeddings.
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
The prosodic aspects of speech signals produced by current text-to-speech systems are typically averaged over training material, and as such lack the variety and liveliness found in natural speech.
Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs
We compare the results obtained from evaluating sentences in isolation, evaluating whole paragraphs of speech, and presenting a selection of speech or text as context and evaluating the subsequent speech.
Frugal Paradigm Completion
Lexica distinguishing all morphologically related forms of each lexeme are crucial to many language technologies, yet building them is expensive.
