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Found 10 papers, 1 papers with code
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
Even though BERT and similar pre-trained language models have excelled in several NLP tasks, their use has not been widely explored for the UI grounding domain.
On the Bayes-optimality of F-measure maximizers
The F-measure, which has originally been introduced in information retrieval, is nowadays routinely used as a performance metric for problems such as binary classification, multi-label classification, and structured output prediction.
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
Topical PageRank (TPR) uses latent topic distribution inferred by Latent Dirichlet Allocation (LDA) to perform ranking of noun phrases extracted from documents.
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
In addition to syntactic trees, we also investigate the use of Abstract Meaning Representation in tree-structured models, in order to incorporate both syntactic and semantic information from the sentence.
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
Several machine learning methods allow for abstaining from uncertain predictions.
An Exact Algorithm for F-Measure Maximization
The F-measure, originally introduced in information retrieval, is nowadays routinely used as a performance metric for problems such as binary classification, multi-label classification, and structured output prediction.
Evaluating for Diversity in Question Generation over Text
Generating diverse and relevant questions over text is a task with widespread applications.
Product Answer Generation from Heterogeneous Sources: A New Benchmark and Best Practices
In this paper, we build a benchmark with annotations for both evidence selection and answer generation covering 6 information sources.
semiPQA: A Study on Product Question Answering over Semi-structured Data
To fill in this blank, here we study how to effectively incorporate semi-structured answer sources for PQA and focus on presenting answers in a natural, fluent sentence.
