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Found 13 papers, 0 papers with code
Leveraging syntactic parsing to improve event annotation matching
The functions are tested against the judgment of a human evaluator and a comparison is made between sets of tokens and sets of syntactic heads.
LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets
This paper presents an emotion classification system for English tweets, submitted for the SemEval shared task on Affect in Tweets, subtask 5: Detecting Emotions.
Towards an integrated pipeline for aspect-based sentiment analysis in various domains
This paper presents an integrated ABSA pipeline for Dutch that has been developed and tested on qualitative user feedback coming from three domains: retail, banking and human resources.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
Rude waiter but mouthwatering pastries! An exploratory study into Dutch Aspect-Based Sentiment Analysis
The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Towards Shared Datasets for Normalization Research
We focus on both the word and character level and find that we can improve the BLEU score with ca.
Evaluating automatic cross-domain Dutch semantic role annotation
In this paper we present the first corpus where one million Dutch words from a variety of text genres have been annotated with semantic roles.
Collection of a corpus of Dutch SMS
In this paper we focus on the data collection processes involved and after studying the effect of media coverage we show that especially free publicity in newspapers and on social media networks results in more contributions.
