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Found 10 papers, 7 papers with code
Disfluency Detection for Vietnamese
In this paper, we present the first empirical study for Vietnamese disfluency detection.
Revisiting subword tokenization: A case study on affixal negation in large language models
In this work, we measure the impact of affixal negation on modern English large language models (LLMs).
Language models are not naysayers: An analysis of language models on negation benchmarks
Negation has been shown to be a major bottleneck for masked language models, such as BERT.
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
We analyze how automated summarization evaluation metrics correlate with lexical features of generated summaries, to other automated metrics including several we propose in this work, and to aspects of human-assessed summary quality.
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
Negation is poorly captured by current language models, although the extent of this problem is not widely understood.
From Disfluency Detection to Intent Detection and Slot Filling
We present the first empirical study investigating the influence of disfluency detection on downstream tasks of intent detection and slot filling.
Improving negation detection with negation-focused pre-training
Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of text.
ITTC @ TREC 2021 Clinical Trials Track
This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cognitive Computing in Medical Technologies to the TREC 2021 Clinical Trials Track.
COVID-19 Named Entity Recognition for Vietnamese
The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic.
Intent Detection and Slot Filling for Vietnamese
Intent detection and slot filling are important tasks in spoken and natural language understanding.
Ranked #2 on
Intent Classification and Slot Filling
on ATIS (vi)
