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Found 7 papers, 0 papers with code
Detection of Mental Health from Reddit via Deep Contextualized Representations
We address the problem of automatic detection of psychiatric disorders from the linguistic content of social media posts.
Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts
We address the problem of predicting psychiatric hospitalizations using linguistic features drawn from social media posts.
Segmenting Subtitles for Correcting ASR Segmentation Errors
Typical ASR systems segment the input audio into utterances using purely acoustic information, which may not resemble the sentence-like units that are expected by conventional machine translation (MT) systems for Spoken Language Translation.
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation.
Subtitles to Segmentation: Improving Low-Resource Speech-to-TextTranslation Pipelines
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation.
Uncertain Natural Language Inference
We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct prediction of subjective probability assessments.
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment
In this document we present an end-to-end machine reading comprehension system that solves multiple choice questions with a textual entailment perspective.
