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Found 29 papers, 0 papers with code
SemEval-2018 Task 3: Irony Detection in English Tweets
Our shared tasks received submissions from 43 teams for the binary classification Task A and from 31 teams for the multiclass Task B.
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.
Economic Event Detection in Company-Specific News Text
This paper presents a dataset and supervised classification approach for economic event detection in English news articles.
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
Monday mornings are my fave :) \#not Exploring the Automatic Recognition of Irony in English tweets
Recognising and understanding irony is crucial for the improvement natural language processing tasks including sentiment analysis.
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter
Although common sense and connotative knowledge come naturally to most people, computers still struggle to perform well on tasks for which such extratextual information is required.
Evaluation of Automatic Hypernym Extraction from Technical Corpora in English and Dutch
In this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text.
Recognising suicidal messages in Dutch social media
The best relevance classification is achieved by using SVM with post length, lemma and character ngrams, resulting in an F-score of 85. 6{\%} (78. 7{\%} precision and 93. 8{\%} recall).
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.
Discovering Missing Wikipedia Inter-language Links by means of Cross-lingual Word Sense Disambiguation
The input for the inter-language link detection system is a set of Dutch pages for a given ambiguous noun and the output of the system is a set of links to the corresponding pages in three target languages (viz.
Beyond SoNaR: towards the facilitation of large corpus building efforts
In this paper we report on the experiences gained in the recent construction of the SoNaR corpus, a 500 MW reference corpus of contemporary, written Dutch.
LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)
This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate speech against immigrants and women in Twitter (hatEval).
A Classification-based Approach to Economic Event Detection in Dutch News Text
Breaking news on economic events such as stock splits or mergers and acquisitions has been shown to have a substantial impact on the financial markets.
Exploring the Realization of Irony in Twitter Data
Handling figurative language like irony is currently a challenging task in natural language processing.
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
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.
