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Found 7 papers, 2 papers with code
Explaining Neural NLP Models for the Joint Analysis of Open-and-Closed-Ended Survey Answers
Large-scale surveys are a widely used instrument to collect data from a target audience.
Long Input Dialogue Summarization with Sketch Supervision for Summarization of Primetime Television Transcripts
This paper presents our entry to the CreativeSumm 2022 shared task.
From Judgement's Premises Towards Key Points
Key Point Analysis(KPA) is a relatively new task in NLP that combines summarization and classification by extracting argumentative key points (KPs) for a topic from a collection of texts and categorizing their closeness to the different arguments.
Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysis
Then, the pipeline uses image retrieval to find all images showing similar content and applies aspect-based sentiment analysis to outline users' opinions about the selected term.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community
Since traditional social media platforms continue to ban actors spreading hate speech or other forms of abusive languages (a process known as deplatforming), these actors migrate to alternative platforms that do not moderate users content.
Anchor-based Bilingual Word Embeddings for Low-Resource Languages
For low resource languages training MWEs monolingually results in MWEs of poor quality, and thus poor bilingual word embeddings (BWEs) as well.
Evaluating bilingual word embeddings on the long tail
Bilingual word embeddings are useful for bilingual lexicon induction, the task of mining translations of given words.
