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Found 13 papers, 0 papers with code
Learning to Solve NLP Tasks in an Incremental Number of Languages
In real scenarios, a multilingual model trained to solve NLP tasks on a set of languages can be required to support new languages over time.
VoiSeR: A New Benchmark for Voice-Based Search Refinement
This common user intent is usually available through a {``}filter-by{''} interface on online shopping websites, but is challenging to support naturally via voice, as the intent of refinements must be interpreted in the context of the original search, the initial results, and the available product catalogue facets.
Global Thread-Level Inference for Comment Classification in Community Question Answering
Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd.
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering
This paper describes the KeLP system participating in the SemEval-2017 community Question Answering (cQA) task.
Deep Learning in Semantic Kernel Spaces
Kernel methods enable the direct usage of structured representations of textual data during language learning and inference tasks.
