Search Results for author: Philipp Heinrich

Found 7 papers, 3 papers with code

How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies

1 code implementation21 Apr 2021 Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert

As a strong baseline, we propose a two-stage DL-based method: first, we create automatically labeled training data by applying a standard sentiment classifier to tweet replies and aggregating its predictions for each original tweet; our rationale is that individual errors made by the classifier are likely to cancel out in the aggregation step.

Twitter Sentiment Analysis

Corpus Query Lingua Franca part II: Ontology

no code implementations LREC 2020 Stefan Evert, Oleg Harlamov, Philipp Heinrich, Piotr Banski

The present paper outlines the projected second part of the Corpus Query Lingua Franca (CQLF) family of standards: CQLF Ontology, which is currently in the process of standardization at the International Standards Organization (ISO), in its Technical Committee 37, Subcommittee 4 (TC37SC4) and its national mirrors.

EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus

no code implementations LREC 2020 Thomas Proisl, Natalie Dykes, Philipp Heinrich, Besim Kabashi, Andreas Blombach, Stefan Evert

The EmpiriST corpus (Bei{\ss}wenger et al., 2016) is a manually tokenized and part-of-speech tagged corpus of approximately 23, 000 tokens of German Web and CMC (computer-mediated communication) data.

Lemmatization

A Corpus of German Reddit Exchanges (GeRedE)

no code implementations LREC 2020 Andreas Blombach, Natalie Dykes, Philipp Heinrich, Besim Kabashi, Thomas Proisl

GeRedE is a 270 million token German CMC corpus containing approximately 380, 000 submissions and 6, 800, 000 comments posted on Reddit between 2010 and 2018.

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