--- anthology+abstracts.bib	2021-04-26 21:17:17.000000000 +0200
+++ anthology+abstracts-fixed.bib	2021-04-25 11:01:05.928481537 +0200
@@ -1,4 +1,4 @@
-@proceedings{wassa-2021-approaches,
+gproceedings{wassa-2021-approaches,
     title = "Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
     editor = "De Clercq, Orphee  and
       Balahur, Alexandra  and
@@ -34967,7 +34967,7 @@
     publisher = "Association for Computational Linguistics",
     url = "https://www.aclweb.org/anthology/2020.nlpcovid19-2.35",
     doi = "10.18653/v1/2020.nlpcovid19-2.35",
-    abstract = "In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can be applied to finding context-specific words and texts (e.g. symptom mentions) in large imbalanced corpora (e.g. all tweets mentioning }{\#}COVID-19). Given the novelty of COVID-19, we also test if the proposed approach generalizes to the problem of detecting Adverse Drug Reaction (ADR). We find that the approach applied to Twitter data can detect symptom mentions substantially before to their being reported by the Centers for Disease Control (CDC).",
+    abstract = "In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can be applied to finding context-specific words and texts (e.g. symptom mentions) in large imbalanced corpora (e.g. all tweets mentioning {\#}COVID-19). Given the novelty of COVID-19, we also test if the proposed approach generalizes to the problem of detecting Adverse Drug Reaction (ADR). We find that the approach applied to Twitter data can detect symptom mentions substantially before to their being reported by the Centers for Disease Control (CDC).",
 }
 @inproceedings{hardage-najafirad-2020-hate,
     title = "Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using {XAI}: Ongoing Applied Research",
@@ -442291,7 +442291,7 @@
     publisher = "European Language Resources Association (ELRA)",
     url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/754_Paper.pdf",
     pages = "2979--2984",
-    abstract = "The building of distributional thesauri from corpora is a problem that was the focus of a significant number of articles, starting with (Grefenstette, 1994} and followed by (Lin, 1998}, (Curran and Moens, 2002) or (Heylen and Peirsman, 2007). However, in all these cases, only single terms were considered. More recently, the topic of compositionality in the framework of distributional semantic representations has come to the surface and was investigated for building the semantic representation of phrases or even sentences from the representation of their words. However, this work was not done until now with the objective of building distributional thesauri. In this article, we investigate the impact of the introduction of compounds for achieving such building. More precisely, we consider compounds as undividable lexical units and evaluate their influence according to three different roles: as features in the distributional contexts of single terms, as possible neighbors of single term entries and finally, as entries of a thesaurus. This investigation was conducted through an intrinsic evaluation for a large set of nominal English single terms and compounds with various frequencies.",
+    abstract = "The building of distributional thesauri from corpora is a problem that was the focus of a significant number of articles, starting with (Grefenstette, 1994) and followed by (Lin, 1998), (Curran and Moens, 2002) or (Heylen and Peirsman, 2007). However, in all these cases, only single terms were considered. More recently, the topic of compositionality in the framework of distributional semantic representations has come to the surface and was investigated for building the semantic representation of phrases or even sentences from the representation of their words. However, this work was not done until now with the objective of building distributional thesauri. In this article, we investigate the impact of the introduction of compounds for achieving such building. More precisely, we consider compounds as undividable lexical units and evaluate their influence according to three different roles: as features in the distributional contexts of single terms, as possible neighbors of single term entries and finally, as entries of a thesaurus. This investigation was conducted through an intrinsic evaluation for a large set of nominal English single terms and compounds with various frequencies.",
 }
 @inproceedings{balvet-etal-2014-talc,
     title = "{TALC}-sef A Manually-Revised {POS}-{TA}gged Literary Corpus in {S}erbian, {E}nglish and {F}rench",
